{"title":"AI Computing","description":"\u003cp\u003eEnterprise AI servers, GPU computing platforms and high-performance infrastructure. Contact Miners Market for configuration, integration, availability and commercial pricing.\u003c\/p\u003e","products":[{"product_id":"hgx-h200-optimized-x13-8u-8gpu","title":"HGX H200 Optimized X13 8U 8GPU","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp data-start=\"217\" data-end=\"724\"\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"221\" data-end=\"255\"\u003eHGX H200 Optimized X13 8U 8GPU\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis a state-of-the-art, high-performance server engineered for\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"318\" data-end=\"430\"\u003eadvanced artificial intelligence workloads, deep learning training, and large-scale language model inference\u003c\/strong\u003e. Designed with enterprise-grade components, cutting-edge GPUs, and optimized interconnects, this server delivers unparalleled computational power, memory bandwidth, and storage throughput, making it ideal for AI research labs, data centers, and high-performance computing (HPC) environments.\u003c\/p\u003e\n\u003ch3 data-start=\"731\" data-end=\"773\"\u003e\u003cstrong data-start=\"735\" data-end=\"773\"\u003eChassis and General Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"774\" data-end=\"1058\"\u003e\n\u003cli data-start=\"774\" data-end=\"819\"\u003e\n\u003cp data-start=\"776\" data-end=\"819\"\u003e\u003cstrong data-start=\"776\" data-end=\"792\"\u003eForm Factor:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e8U rack-mountable server\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"820\" data-end=\"869\"\u003e\n\u003cp data-start=\"822\" data-end=\"869\"\u003e\u003cstrong data-start=\"822\" data-end=\"838\"\u003eGPU Support:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e8 NVIDIA H200 SXM5 Gen5 GPUs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"870\" data-end=\"897\"\u003e\n\u003cp data-start=\"872\" data-end=\"897\"\u003e\u003cstrong data-start=\"872\" data-end=\"891\"\u003eRoHS Compliant:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eYes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"898\" data-end=\"976\"\u003e\n\u003cp data-start=\"900\" data-end=\"976\"\u003e\u003cstrong data-start=\"900\" data-end=\"918\"\u003eSystem Models:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eX13DGH-T-P.1560TS-R4K12B, RoHS SYS-821GE-TNHR and EWCSC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"977\" data-end=\"1058\"\u003e\n\u003cp data-start=\"979\" data-end=\"1058\"\u003e\u003cstrong data-start=\"979\" data-end=\"992\"\u003eWarranty:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e3 years labor, 3 years parts, 1 year CRS under limited warranty\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1060\" data-end=\"1217\"\u003eThis server is engineered for\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"1090\" data-end=\"1139\"\u003emaximum reliability and sustained performance\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eunder heavy AI and HPC workloads, ensuring long-term operational stability.\u003c\/p\u003e\n\u003ch3 data-start=\"1224\" data-end=\"1247\"\u003e\u003cstrong data-start=\"1228\" data-end=\"1247\"\u003eProcessor (CPU)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"1248\" data-end=\"1512\"\u003e\n\u003cli data-start=\"1248\" data-end=\"1288\"\u003e\n\u003cp data-start=\"1250\" data-end=\"1288\"\u003e\u003cstrong data-start=\"1250\" data-end=\"1260\"\u003eModel:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eIntel Xeon Platinum 8592+\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1289\" data-end=\"1331\"\u003e\n\u003cp data-start=\"1291\" data-end=\"1331\"\u003e\u003cstrong data-start=\"1291\" data-end=\"1309\"\u003eConfiguration:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eDual Processor (2P)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1332\" data-end=\"1387\"\u003e\n\u003cp data-start=\"1334\" data-end=\"1387\"\u003e\u003cstrong data-start=\"1334\" data-end=\"1350\"\u003eTotal Cores:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e64 cores per CPU (128 cores total)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1388\" data-end=\"1415\"\u003e\n\u003cp data-start=\"1390\" data-end=\"1415\"\u003e\u003cstrong data-start=\"1390\" data-end=\"1405\"\u003eBase Clock:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e2.0 GHz\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1416\" data-end=\"1447\"\u003e\n\u003cp data-start=\"1418\" data-end=\"1447\"\u003e\u003cstrong data-start=\"1418\" data-end=\"1426\"\u003eTDP:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e350W per processor\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1448\" data-end=\"1471\"\u003e\n\u003cp data-start=\"1450\" data-end=\"1471\"\u003e\u003cstrong data-start=\"1450\" data-end=\"1460\"\u003eCache:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e320MB L3\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1472\" data-end=\"1512\"\u003e\n\u003cp data-start=\"1474\" data-end=\"1512\"\u003e\u003cstrong data-start=\"1474\" data-end=\"1482\"\u003eSKU:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eP4X-EMR8530N-SRN6V-MCC (x2)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1514\" data-end=\"1701\"\u003eThese processors provide\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"1539\" data-end=\"1595\"\u003eexceptional parallelism and computational throughput\u003c\/strong\u003e, enabling the system to efficiently handle large-scale AI models and intensive scientific computations.\u003c\/p\u003e\n\u003ch3 data-start=\"1708\" data-end=\"1728\"\u003e\u003cstrong data-start=\"1712\" data-end=\"1728\"\u003eMemory (RAM)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"1729\" data-end=\"1899\"\u003e\n\u003cli data-start=\"1729\" data-end=\"1761\"\u003e\n\u003cp data-start=\"1731\" data-end=\"1761\"\u003e\u003cstrong data-start=\"1731\" data-end=\"1742\"\u003eModule:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eMEM-DR564MC-ER64\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1762\" data-end=\"1800\"\u003e\n\u003cp data-start=\"1764\" data-end=\"1800\"\u003e\u003cstrong data-start=\"1764\" data-end=\"1773\"\u003eType:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eDDR5-5600 ECC RDIMM 2Rx4\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1801\" data-end=\"1834\"\u003e\n\u003cp data-start=\"1803\" data-end=\"1834\"\u003e\u003cstrong data-start=\"1803\" data-end=\"1827\"\u003eCapacity per Module:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e64GB\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1835\" data-end=\"1864\"\u003e\n\u003cp data-start=\"1837\" data-end=\"1864\"\u003e\u003cstrong data-start=\"1837\" data-end=\"1859\"\u003eNumber of Modules:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e16\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1865\" data-end=\"1899\"\u003e\n\u003cp data-start=\"1867\" data-end=\"1899\"\u003e\u003cstrong data-start=\"1867\" data-end=\"1884\"\u003eTotal Memory:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e1TB (1024GB)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1901\" data-end=\"2093\"\u003eWith\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"1906\" data-end=\"1939\"\u003e1TB of ultra-fast DDR5 memory\u003c\/strong\u003e, the server can manage\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"1963\" data-end=\"2013\"\u003emassive datasets and extremely large AI models\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ewhile maintaining high efficiency and system integrity thanks to ECC support.\u003c\/p\u003e\n\u003ch3 data-start=\"2100\" data-end=\"2115\"\u003e\u003cstrong data-start=\"2104\" data-end=\"2115\"\u003eStorage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2116\" data-end=\"2353\"\u003e\n\u003cli data-start=\"2116\" data-end=\"2166\"\u003e\n\u003cp data-start=\"2118\" data-end=\"2166\"\u003e\u003cstrong data-start=\"2118\" data-end=\"2134\"\u003eDrive Model:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eHDS-25N4-003T8-E1-TXD-NON-008\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2167\" data-end=\"2204\"\u003e\n\u003cp data-start=\"2169\" data-end=\"2204\"\u003e\u003cstrong data-start=\"2169\" data-end=\"2178\"\u003eType:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e2.5″ NVMe PCIe 4.0 SSDs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2205\" data-end=\"2239\"\u003e\n\u003cp data-start=\"2207\" data-end=\"2239\"\u003e\u003cstrong data-start=\"2207\" data-end=\"2230\"\u003eCapacity per Drive:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e3.84TB\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2240\" data-end=\"2267\"\u003e\n\u003cp data-start=\"2242\" data-end=\"2267\"\u003e\u003cstrong data-start=\"2242\" data-end=\"2263\"\u003eNumber of Drives:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e8\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2268\" data-end=\"2328\"\u003e\n\u003cp data-start=\"2270\" data-end=\"2328\"\u003e\u003cstrong data-start=\"2270\" data-end=\"2291\"\u003eEnterprise Grade:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e1 DWPD (Drive Writes Per Day), TLC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2329\" data-end=\"2353\"\u003e\n\u003cp data-start=\"2331\" data-end=\"2353\"\u003e\u003cstrong data-start=\"2331\" data-end=\"2347\"\u003eForm Factor:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e7mm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2355\" data-end=\"2548\"\u003eThe server offers\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"2373\" data-end=\"2411\"\u003e30.72TB of high-speed NVMe storage\u003c\/strong\u003e, delivering\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"2424\" data-end=\"2468\"\u003elow-latency, high-throughput data access\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ecritical for AI training, HPC workloads, and large-scale database operations.\u003c\/p\u003e\n\u003ch3 data-start=\"2555\" data-end=\"2595\"\u003e\u003cstrong data-start=\"2559\" data-end=\"2595\"\u003eGraphics Processing Units (GPUs)\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"2596\" data-end=\"2806\"\u003e\n\u003cli data-start=\"2596\" data-end=\"2632\"\u003e\n\u003cp data-start=\"2598\" data-end=\"2632\"\u003e\u003cstrong data-start=\"2598\" data-end=\"2608\"\u003eModel:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eNVIDIA H200 SXM5 Gen5\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2633\" data-end=\"2657\"\u003e\n\u003cp data-start=\"2635\" data-end=\"2657\"\u003e\u003cstrong data-start=\"2635\" data-end=\"2648\"\u003eQuantity:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e8 GPUs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2658\" data-end=\"2723\"\u003e\n\u003cp data-start=\"2660\" data-end=\"2723\"\u003e\u003cstrong data-start=\"2660\" data-end=\"2687\"\u003eInterconnect Bandwidth:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e900GB\/s via NVLink 5.0 \/ NVSwitch\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2724\" data-end=\"2806\"\u003e\n\u003cp data-start=\"2726\" data-end=\"2806\"\u003e\u003cstrong data-start=\"2726\" data-end=\"2746\"\u003eAI Optimization:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eSupports\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"2756\" data-end=\"2804\"\u003evLLM, Megatron-DeepSpeed, HuggingFace LLMOps\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2808\" data-end=\"2977\"\u003eThe GPUs provide\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"2825\" data-end=\"2849\"\u003eextreme acceleration\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor AI workloads, enabling\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"2877\" data-end=\"2930\"\u003etraining and inference of massive language models\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ewith exceptional performance and efficiency.\u003c\/p\u003e\n\u003ch3 data-start=\"2984\" data-end=\"3019\"\u003e\u003cstrong data-start=\"2988\" data-end=\"3019\"\u003eNetworking and Connectivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3020\" data-end=\"3143\"\u003e\n\u003cli data-start=\"3020\" data-end=\"3055\"\u003e\n\u003cp data-start=\"3022\" data-end=\"3055\"\u003e\u003cstrong data-start=\"3022\" data-end=\"3039\"\u003eNetwork Card:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eAOC-MH25G-m2S\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3056\" data-end=\"3095\"\u003e\n\u003cp data-start=\"3058\" data-end=\"3095\"\u003e\u003cstrong data-start=\"3058\" data-end=\"3067\"\u003eType:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eDual-Port 25GbE SFP28 NIC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3096\" data-end=\"3115\"\u003e\n\u003cp data-start=\"3098\" data-end=\"3115\"\u003e\u003cstrong data-start=\"3098\" data-end=\"3111\"\u003eQuantity:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e2\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3116\" data-end=\"3143\"\u003e\n\u003cp data-start=\"3118\" data-end=\"3143\"\u003e\u003cstrong data-start=\"3118\" data-end=\"3137\"\u003eRoHS Compliant:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eYes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"3145\" data-end=\"3301\"\u003eThis networking setup ensures\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"3175\" data-end=\"3229\"\u003eultra-fast data transfer and cluster communication\u003c\/strong\u003e, supporting distributed AI pipelines and supercomputing environments.\u003c\/p\u003e\n\u003ch3 data-start=\"3308\" data-end=\"3335\"\u003e\u003cstrong data-start=\"3312\" data-end=\"3335\"\u003eAdditional Features\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3336\" data-end=\"3657\"\u003e\n\u003cli data-start=\"3336\" data-end=\"3404\"\u003e\n\u003cp data-start=\"3338\" data-end=\"3404\"\u003e\u003cstrong data-start=\"3338\" data-end=\"3353\"\u003eTPM Module:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eAOM-TPM-9670V-P, SPI TPM 2.0 using SLB9670, RoHS\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3405\" data-end=\"3482\"\u003e\n\u003cp data-start=\"3407\" data-end=\"3482\"\u003e\u003cstrong data-start=\"3407\" data-end=\"3424\"\u003eRAID Support:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eIntel VROC Premium, RAID 0, 1, 5, 10 via AOC-VROCPREMOD\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3483\" data-end=\"3562\"\u003e\n\u003cp data-start=\"3485\" data-end=\"3562\"\u003e\u003cstrong data-start=\"3485\" data-end=\"3506\"\u003eSoftware License:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eSFT-DCMS-SINGLE, 1-year Soika Enterprise subscription\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3563\" data-end=\"3657\"\u003e\n\u003cp data-start=\"3565\" data-end=\"3657\"\u003e\u003cstrong data-start=\"3565\" data-end=\"3599\"\u003eSuper Cluster Interconnection:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eLocal cluster support for high-performance AI workloads\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3664\" data-end=\"3686\"\u003e\u003cstrong data-start=\"3668\" data-end=\"3686\"\u003eKey Advantages\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul data-start=\"3687\" data-end=\"4159\"\u003e\n\u003cli data-start=\"3687\" data-end=\"3770\"\u003e\n\u003cp data-start=\"3689\" data-end=\"3770\"\u003eOptimized for\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"3703\" data-end=\"3768\"\u003eAI training, inference, and very large language models (vLLM)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3771\" data-end=\"3853\"\u003e\n\u003cp data-start=\"3773\" data-end=\"3853\"\u003eFully compatible with\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"3795\" data-end=\"3851\"\u003eMegatron-DeepSpeed and HuggingFace LLMOps frameworks\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3854\" data-end=\"3946\"\u003e\n\u003cp data-start=\"3856\" data-end=\"3946\"\u003eEnterprise-class\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"3873\" data-end=\"3903\"\u003ereliability and durability\u003c\/strong\u003e, suitable for continuous heavy workloads\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3947\" data-end=\"3998\"\u003e\n\u003cp data-start=\"3949\" data-end=\"3998\"\u003e\u003cstrong data-start=\"3949\" data-end=\"3967\"\u003eRoHS compliant\u003c\/strong\u003e, environmentally responsible\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3999\" data-end=\"4088\"\u003e\n\u003cp data-start=\"4001\" data-end=\"4088\"\u003eIdeal for\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"4011\" data-end=\"4086\"\u003eAI research labs, data centers, and high-performance computing clusters\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"4089\" data-end=\"4159\"\u003e\n\u003cp data-start=\"4091\" data-end=\"4159\"\u003eScalable for\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"4104\" data-end=\"4157\"\u003efuture AI model growth and large-scale deployment\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"4166\" data-end=\"4181\"\u003e\u003cstrong data-start=\"4170\" data-end=\"4181\"\u003eSummary\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-start=\"4182\" data-end=\"4711\"\u003eThe HGX H200 Optimized X13 8U 8GPU is a high-end AI server solution that combines dual Intel Xeon Platinum 8592+ processors, 1TB DDR5-5600 ECC memory, 8 NVIDIA H200 SXM5 GPUs, and enterprise-grade NVMe storage to deliver unmatched performance for AI and HPC workloads. With advanced networking, software optimizations, and cluster interconnect support, this system is designed to handle massive AI models, high-throughput training tasks, and next-generation computational workloads efficiently and reliably.\u003c\/p\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147592630564,"sku":null,"price":330000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/HGX-H200-Sample-Configuration.webp?v=1783443121"},{"product_id":"hgx-h100-optimized-x13-8u-8gpu-server","title":"HGX H100 Optimized X13 8U 8GPU SERVER","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp data-start=\"216\" data-end=\"670\"\u003eThe HGX H100 Optimized X13 8U 8GPU is a cutting-edge, high-performance server designed for advanced AI workloads, deep learning training, and large-scale vLLM (very large language model) applications. Built with enterprise-grade components and optimized interconnects, this system delivers unmatched computational power, storage throughput, and network performance, making it ideal for data centers, AI research labs, and supercomputing environments.\u003c\/p\u003e\n\u003ch3 data-start=\"677\" data-end=\"719\"\u003eChassis and General Specifications\u003c\/h3\u003e\n\u003cul data-start=\"720\" data-end=\"999\"\u003e\n\u003cli data-start=\"720\" data-end=\"765\"\u003e\n\u003cp data-start=\"722\" data-end=\"765\"\u003eForm Factor: 8U rack-mountable server\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"766\" data-end=\"810\"\u003e\n\u003cp data-start=\"768\" data-end=\"810\"\u003eGPU Support: 8 NVIDIA H100 SXM5 GPUs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"811\" data-end=\"838\"\u003e\n\u003cp data-start=\"813\" data-end=\"838\"\u003eRoHS Compliant: Yes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"839\" data-end=\"917\"\u003e\n\u003cp data-start=\"841\" data-end=\"917\"\u003eSystem Models: X13DGH-T-P.1560TS-R4K12B, RoHS SYS-821GE-TNHR and EWCSC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"918\" data-end=\"999\"\u003e\n\u003cp data-start=\"920\" data-end=\"999\"\u003eWarranty: 3 years labor, 3 years parts, 1 year CRS under limited warranty\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1001\" data-end=\"1129\"\u003eThis server is engineered to provide exceptional reliability and long-term stability under heavy AI and HPC workloads.\u003c\/p\u003e\n\u003ch3 data-start=\"1136\" data-end=\"1159\"\u003eProcessor (CPU)\u003c\/h3\u003e\n\u003cul data-start=\"1160\" data-end=\"1422\"\u003e\n\u003cli data-start=\"1160\" data-end=\"1200\"\u003e\n\u003cp data-start=\"1162\" data-end=\"1200\"\u003eModel: Intel Xeon Platinum 8480+\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1201\" data-end=\"1243\"\u003e\n\u003cp data-start=\"1203\" data-end=\"1243\"\u003eConfiguration: Dual Processor (2P)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1244\" data-end=\"1299\"\u003e\n\u003cp data-start=\"1246\" data-end=\"1299\"\u003eTotal Cores: 56 cores per CPU (112 cores total)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1300\" data-end=\"1327\"\u003e\n\u003cp data-start=\"1302\" data-end=\"1327\"\u003eBase Clock: 2.0 GHz\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1328\" data-end=\"1359\"\u003e\n\u003cp data-start=\"1330\" data-end=\"1359\"\u003eTDP: 350W per processor\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1360\" data-end=\"1383\"\u003e\n\u003cp data-start=\"1362\" data-end=\"1383\"\u003eCache: 320MB L3\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1384\" data-end=\"1422\"\u003e\n\u003cp data-start=\"1386\" data-end=\"1422\"\u003eSKU: P4X-8470Y-X-SN3L-MCC (x2)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1424\" data-end=\"1562\"\u003eThese processors are specifically chosen for massive parallelism, enabling large-scale AI training and inference with minimal latency.\u003c\/p\u003e\n\u003ch3 data-start=\"1569\" data-end=\"1589\"\u003eMemory (RAM)\u003c\/h3\u003e\n\u003cul data-start=\"1590\" data-end=\"1759\"\u003e\n\u003cli data-start=\"1590\" data-end=\"1621\"\u003e\n\u003cp data-start=\"1592\" data-end=\"1621\"\u003eModule: MEM-DR564L-HL64\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1622\" data-end=\"1660\"\u003e\n\u003cp data-start=\"1624\" data-end=\"1660\"\u003eType: DDR5-4800 ECC RDIMM 2Rx8\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1661\" data-end=\"1694\"\u003e\n\u003cp data-start=\"1663\" data-end=\"1694\"\u003eCapacity per Module: 64GB\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1695\" data-end=\"1724\"\u003e\n\u003cp data-start=\"1697\" data-end=\"1724\"\u003eNumber of Modules: 16\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1725\" data-end=\"1759\"\u003e\n\u003cp data-start=\"1727\" data-end=\"1759\"\u003eTotal Memory: 1TB (1024GB)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1761\" data-end=\"1933\"\u003eThe system’s 1TB of high-speed DDR5 memory ensures efficient handling of large datasets and AI models, while ECC support guarantees data integrity and system stability.\u003c\/p\u003e\n\u003ch3 data-start=\"1940\" data-end=\"1955\"\u003eStorage\u003c\/h3\u003e\n\u003cul data-start=\"1956\" data-end=\"2193\"\u003e\n\u003cli data-start=\"1956\" data-end=\"2006\"\u003e\n\u003cp data-start=\"1958\" data-end=\"2006\"\u003eDrive Model: HDS-25N4-003T8-E1-TXD-NON-008\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2007\" data-end=\"2044\"\u003e\n\u003cp data-start=\"2009\" data-end=\"2044\"\u003eType: 2.5″ NVMe PCIe 4.0 SSDs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2045\" data-end=\"2079\"\u003e\n\u003cp data-start=\"2047\" data-end=\"2079\"\u003eCapacity per Drive: 3.84TB\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2080\" data-end=\"2107\"\u003e\n\u003cp data-start=\"2082\" data-end=\"2107\"\u003eNumber of Drives: 8\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2108\" data-end=\"2168\"\u003e\n\u003cp data-start=\"2110\" data-end=\"2168\"\u003eEnterprise Grade: 1 DWPD (Drive Writes Per Day), TLC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2169\" data-end=\"2193\"\u003e\n\u003cp data-start=\"2171\" data-end=\"2193\"\u003eForm Factor: 7mm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2195\" data-end=\"2363\"\u003eWith 30.72TB total NVMe storage, this system provides high-speed, low-latency data access for AI training, HPC simulations, and large-scale database operations.\u003c\/p\u003e\n\u003ch3 data-start=\"2370\" data-end=\"2410\"\u003eGraphics Processing Units (GPUs)\u003c\/h3\u003e\n\u003cul data-start=\"2411\" data-end=\"2624\"\u003e\n\u003cli data-start=\"2411\" data-end=\"2442\"\u003e\n\u003cp data-start=\"2413\" data-end=\"2442\"\u003eModel: NVIDIA H100 SXM5\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2443\" data-end=\"2467\"\u003e\n\u003cp data-start=\"2445\" data-end=\"2467\"\u003eQuantity: 8 GPUs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2468\" data-end=\"2529\"\u003e\n\u003cp data-start=\"2470\" data-end=\"2529\"\u003eInterconnect Bandwidth: 900GB\/s via NVLink \/ NVSwitch\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2530\" data-end=\"2624\"\u003e\n\u003cp data-start=\"2532\" data-end=\"2624\"\u003eAI Optimization: Fully compatible with vLLM and DeepSpeed \/ Tensor Parallelism\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2626\" data-end=\"2784\"\u003eThe GPUs deliver extreme performance for AI workloads, making it possible to train very large language models and complex neural networks efficiently.\u003c\/p\u003e\n\u003ch3 data-start=\"2791\" data-end=\"2826\"\u003eNetworking and Connectivity\u003c\/h3\u003e\n\u003cul data-start=\"2827\" data-end=\"2950\"\u003e\n\u003cli data-start=\"2827\" data-end=\"2862\"\u003e\n\u003cp data-start=\"2829\" data-end=\"2862\"\u003eNetwork Card: AOC-MH25G-m2S\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2863\" data-end=\"2902\"\u003e\n\u003cp data-start=\"2865\" data-end=\"2902\"\u003eType: Dual-Port 25GbE SFP28 NIC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2903\" data-end=\"2922\"\u003e\n\u003cp data-start=\"2905\" data-end=\"2922\"\u003eQuantity: 2\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2923\" data-end=\"2950\"\u003e\n\u003cp data-start=\"2925\" data-end=\"2950\"\u003eRoHS Compliant: Yes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2952\" data-end=\"3119\"\u003eThis configuration ensures ultra-fast data transfer between servers and cluster nodes, supporting high-throughput AI pipelines and large-scale parallel processing.\u003c\/p\u003e\n\u003ch3 data-start=\"3126\" data-end=\"3153\"\u003eAdditional Features\u003c\/h3\u003e\n\u003cul data-start=\"3154\" data-end=\"3475\"\u003e\n\u003cli data-start=\"3154\" data-end=\"3222\"\u003e\n\u003cp data-start=\"3156\" data-end=\"3222\"\u003eTPM Module: AOM-TPM-9670V-P, SPI TPM 2.0 using SLB9670, RoHS\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3223\" data-end=\"3300\"\u003e\n\u003cp data-start=\"3225\" data-end=\"3300\"\u003eRAID Support: Intel VROC Premium, RAID 0, 1, 5, 10 via AOC-VROCPREMOD\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3301\" data-end=\"3380\"\u003e\n\u003cp data-start=\"3303\" data-end=\"3380\"\u003eSoftware License: SFT-DCMS-SINGLE, 1-year Soika Enterprise subscription\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3381\" data-end=\"3475\"\u003e\n\u003cp data-start=\"3383\" data-end=\"3475\"\u003eSuper Cluster Interconnection: Local cluster support for high-performance AI workloads\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3482\" data-end=\"3504\"\u003eKey Advantages\u003c\/h3\u003e\n\u003cul data-start=\"3505\" data-end=\"3954\"\u003e\n\u003cli data-start=\"3505\" data-end=\"3602\"\u003e\n\u003cp data-start=\"3507\" data-end=\"3602\"\u003eOptimized for AI inference and training, especially for very large language models (vLLM)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3603\" data-end=\"3707\"\u003e\n\u003cp data-start=\"3605\" data-end=\"3707\"\u003eEnterprise-class reliability and durability, ensuring continuous operation under heavy workloads\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3708\" data-end=\"3765\"\u003e\n\u003cp data-start=\"3710\" data-end=\"3765\"\u003eFully compliant with RoHS environmental standards\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3766\" data-end=\"3861\"\u003e\n\u003cp data-start=\"3768\" data-end=\"3861\"\u003eIdeal for deployment in AI research labs, data centers, and supercomputing environments\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3862\" data-end=\"3954\"\u003e\n\u003cp data-start=\"3864\" data-end=\"3954\"\u003eScalable and future-proof, supporting next-generation AI models and HPC applications\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"3864\" data-end=\"3954\"\u003eSummary\u003c\/h2\u003e\n\u003cp data-start=\"3977\" data-end=\"4395\"\u003eThe HGX H100 Optimized X13 8U 8GPU is an elite-class server designed for organizations that demand maximum GPU acceleration, high memory bandwidth, and ultra-fast NVMe storage. Its combination of dual Intel Xeon Platinum 8480+ processors, 1TB DDR5 ECC RAM, 8 NVIDIA H100 GPUs, and enterprise-grade NVMe storage makes it a complete solution for modern AI workloads and large-scale computational tasks.\u003c\/p\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147601608996,"sku":null,"price":300000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/HGX-H100-Sample-Configuration.webp?v=1783443130"},{"product_id":"aetina-superedge-aex-2ua1-mgx-server","title":"Aetina SuperEdge AEX-2UA1 (MGX Server)","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe AEX-2UA1 is a short-depth 2U x86 MGX edge server designed for high-performance computing, AI workloads, simulation, rendering, and edge computing. Powered by the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/products\/details\/processors\/xeon.html\" rel=\"noopener\" target=\"_blank\"\u003eIntel® Xeon®\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003e6 processor and supporting dual-width NVIDIA GPUs with NVLink, it delivers data-center-grade performance in a compact form factor.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eKey Specifications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eFeature\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLatest\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eIntel® Xeon® 6\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(Granite Rapids-SP, Sierra Forest-SP) up to 250W TDP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8× DDR5 RDIMM channels, 6400 MT\/s DDR5 or 8000 MT\/s MCR DIMM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 2× NVIDIA dual-width GPUs with NVLink for high-speed GPU-to-GPU communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExpansion Slots\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e(2) PCIe Gen5 x16 FHFL, (1) PCIe Gen5 x8 FHFL\u003cspan\u003e \u003c\/span\u003e\u003cem\u003e(disabled with 2 dual-width GPUs)\u003c\/em\u003e, (1) PCIe Gen5 x16 FHHL for NIC\/DPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e(2) M.2 PCIe Gen5 + (4) E1.S NVMe Gen5 hot-swappable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eStandard: 1600W Titanium Redundant 1+1, Optional: 2000W Titanium Redundant 1+1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCooling\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHeavy-duty hot-swappable fans with intelligent thermal control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O Ports\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e(1) BMC LAN, (2) USB ports, (1) MiniDP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eShort-depth 2U (438 × 88 × 420 mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePhysical Specifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHeight\u003c\/strong\u003e: 2U\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWidth\u003c\/strong\u003e: 438 mm (17.3 inches)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth\u003c\/strong\u003e: 420 mm (16.6 inches)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDesign\u003c\/strong\u003e: Space-saving and rack-mountable, suitable for enterprise and industrial environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cstrong\u003eCapabilities \u0026amp; Benefits\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh computational power:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eIntel Xeon 6 with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eP-Cores and E-Cores\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor intensive workloads and optimized performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFast, high-capacity memory:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e8-channel DDR5 and MCR DIMM for parallel data access and high-speed processing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProfessional GPU acceleration:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eDual-width GPUs with NVLink for AI training and fast inference.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh flexibility:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ePCIe expansion and hot-swappable storage for future upgrades.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise-grade reliability:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eHot-swappable PSU and cooling fans for 24\/7 uninterrupted operation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact form factor:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eIdeal for\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eedge deployments\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand space-constrained data centers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA MGX-ready:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ePositioned for\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNCS certification\u003c\/strong\u003e, ensuring maximum performance in AI workloads.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eIndustry Applications\u003c\/h2\u003e\n\u003cp\u003eThe AEX-2UA1 is built to serve a wide range of sectors, each with specific AI-driven use cases:\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eIndustry\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHealthcare\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e– Image diagnostics (e.g., medical imaging analysis) \u0026lt;br\u0026gt; – Patient and visitor services (e.g., smart kiosks, virtual assistants)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRetail\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e– Stock control and inventory management \u0026lt;br\u0026gt; – Security surveillance and anomaly detection \u0026lt;br\u0026gt; – Customer service automation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAutomotive\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e– Simulation for autonomous systems \u0026lt;br\u0026gt; – High-fidelity rendering for design and testing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eManufacturing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e– Automated Optical Inspection (AOI) for quality control \u0026lt;br\u0026gt; – Safety monitoring and compliance \u0026lt;br\u0026gt; – Predictive maintenance using AI models\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSMBs (Small and Medium Businesses)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e– Private deployment of Large Language Models (LLMs) \u0026lt;br\u0026gt; – Data analysis and business intelligence\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147602723108,"sku":null,"price":15000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/New-Project.jpg?v=1783443131"},{"product_id":"hpe-dl380a-gen12-4u-dual-socket-ai-server-with-intel®-xeon®-6-cpus-and-support-for-10-double-width-gpus","title":"HPE DL380A Gen12 (4U Dual-Socket AI Server with Intel® Xeon® 6 CPUs and Support for 10 Double-Width GPUs))","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThis server is built for organizations that need serious GPU power. It supports up to 10 double-width GPUs, each up to 600W, and can connect four GPUs together using NVIDIA’s 4-way NVLink Bridge for faster AI inference. The system runs on dual Intel® Xeon® 6 processors, offering up to 144 cores total, and supports up to 4TB of DDR5 memory at blazing speeds of 6400 MT\/s. The DL380a Gen12 is also designed with three separate power domains, including six dedicated power supplies for GPUs, ensuring stable and efficient performance even under heavy workloads.\u003c\/p\u003e\n\u003ch3\u003eKey Specifications\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eFeature\u003c\/th\u003e\n\u003cth\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4U Rackmount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual Intel® Xeon® 6 CPUs (up to 144 cores, 250W TDP each)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32 DDR5 DIMM slots, up to 4TB total (2TB per CPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 10 double-width GPUs (600W each), NVLink Bridge support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage Options\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSupports SFF NVMe and EDSFF drives\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExpansion Slots\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 x PCIe Gen5 x16 + 2 x OCP slots\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 8 M-CRPS; 1+1 redundancy for system, 2+1 for GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCooling System\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 dual-rotor + 8 single-rotor hot-plug fans\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSecurity Features\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHPE Silicon Root of Trust, TPM 2.0, Intrusion Detection, Secure Boot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eManagement Tools\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHPE iLO, OneView, Compute Ops Management, GreenLake integration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWarranty\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3 years parts, labor, and on-site support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ch2\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cspan\u003eWhy It Matters\u003c\/span\u003e\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp\u003eThis server is built for the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eAI era\u003c\/strong\u003e. Whether you’re running deep learning models, processing massive datasets, or deploying inference workloads at scale, the DL380a Gen12 gives you the flexibility, speed, and reliability you need. It’s also designed to work seamlessly in hybrid cloud environments, with built-in tools for automation, monitoring, and lifecycle management. Security is baked into every layer—from silicon to firmware—so your data and applications stay protected. And with HPE’s management software and GreenLake services, you can scale and operate your infrastructure with ease.\u003c\/p\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147603804452,"sku":null,"price":50000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/HPE-DL380A-Gen12.webp?v=1783442987"},{"product_id":"h3c-server-r5300-g6-pcle","title":"H3C Server R5300 G6 PCle","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eH3C UniServer R5300 G6\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis a next-generation 4U dual-socket AI server designed to deliver exceptional performance, flexible GPU topology, and unified computing and storage capabilities. With support for up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e10 dual-width NVIDIA enterprise GPUs\u003c\/strong\u003e, it empowers organizations to accelerate deep learning, inference, and high-performance computing workloads across diverse industries.\u003c\/p\u003e\n\u003ch2\u003eKey Features \u0026amp; Advantages\u003c\/h2\u003e\n\u003ch4\u003e Extreme Compute Power\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eSupports the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003elatest NVIDIA enterprise-grade GPUs\u003c\/strong\u003e, up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e10 dual-width cards\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eDual\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eIntel® Xeon® Scalable processors\u003c\/strong\u003e, delivering high core density and memory bandwidth\u003c\/li\u003e\n\u003cli\u003eIdeal for AI training, inference, HPC, and large-scale data analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eFlexible GPU Topology\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eOffers\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003efive distinct GPU topology configurations\u003c\/strong\u003e, enabling tailored deployment for various AI workloads\u003c\/li\u003e\n\u003cli\u003eSupports peer-to-peer (P2P) and GPUDirect communication for optimized performance in clustered environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eUnified Compute \u0026amp; 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Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147604558116,"sku":null,"price":35000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/New-Project.webp?v=1783443060"},{"product_id":"nvidia-dgx-b200-ai-supercomputer-8-blackwell-b200-sxm5-gpus-2-intel-xeon-8570-2tb-ddr5-34tb-nvme","title":"NVIDIA DGX B200 AI Supercomputer – 8× NVIDIA B200 Tensor Core GPUs, 1.44TB HBM3e, Dual Intel Xeon Platinum 8570, 2TB RAM, 30.72TB NVMe, NVLink \u0026 BlueField-3","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA DGX B200\u003c\/strong\u003e is an enterprise AI supercomputing platform powered by the NVIDIA Blackwell architecture and purpose-built for generative AI, large language models (LLMs), multimodal AI, deep learning, high-performance computing and large-scale AI 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GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1,440GB \/ 1.44TB total HBM3e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64TB\/s aggregate HBM3e bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP4 Tensor Core Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 144 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP8 Tensor Core Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 72 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNVSwitch\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× NVIDIA NVSwitch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNVLink\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFifth-generation NVIDIA NVLink\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNVLink Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e14.4TB\/s aggregate bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eCPU\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× Intel Xeon Platinum 8570\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e56 cores per processor, 112 total CPU cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBase Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.1GHz base frequency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMax Boost Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 4.0GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe Gen5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eSystem Memory\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSystem Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2TB system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum Configuration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eConfigurable \/ upgradable to 4TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDIMMs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32 DIMMs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eStorage\u003c\/h2\u003e\n\u003ch3\u003eOperating System Storage\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOS Drives\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× 1.92TB NVMe M.2 SSDs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAID\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRAID 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eData \/ Cache Storage\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eData Drives\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8× 3.84TB NVMe U.2 Self-Encrypting Drives (SED)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTotal Raw Data\/Cache Capacity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e30.72TB total raw data\/cache capacity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAID\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRAID 0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eNetworking\u003c\/h2\u003e\n\u003ch3\u003eCluster Networking\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAdapters\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8× NVIDIA ConnectX-7 single-port cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4× OSFP ports\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInfiniBand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInfiniBand up to 400Gb\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEthernet support up to 400GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eStorage \u0026amp; In-Band Management\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDPUs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× NVIDIA BlueField-3 dual-port DPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual-port QSFP112\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEthernet support up to 400GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInfiniBand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInfiniBand support up to 400Gb\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eSystem Management\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBMC Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHost BMC with RJ45 interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnboard NIC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10Gb\/s onboard NIC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOptional Management Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOptional dual-port 100GbE system management interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eManagement\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRedfish, IPMI, SNMP, KVM, Web-based management\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eNVIDIA NVLink \u0026amp; NVSwitch\u003c\/h2\u003e\n\u003cp\u003eDGX B200 incorporates fifth-generation NVIDIA NVLink and 2× NVIDIA NVSwitch, providing 14.4TB\/s of aggregate NVLink bandwidth across the eight NVIDIA B200 GPUs.\u003c\/p\u003e\n\u003cp\u003eThis high-bandwidth GPU fabric enables the system to efficiently handle extremely large AI models and workloads requiring intensive communication between GPUs.\u003c\/p\u003e\n\u003ch2\u003ePerformance\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP4 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 144 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP8 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 72 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTotal GPU Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.44TB HBM3e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAggregate Memory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAggregate NVLink Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e14.4TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSystem Power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to approximately 14.3kW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10U\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePower\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Supplies\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6× 3.3kW power supplies\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRedundancy\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5+1 PSU redundancy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInput Power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e200–240VAC, 50–60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum System Power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eApproximately 14.3kW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePhysical Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10U rackmount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e17.5 in \/ 444mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e19 in \/ 482.3mm max\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDepth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e35.3 in \/ 897.1mm max\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum System Weight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e313.9 lb \/ 142.4kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eSoftware\u003c\/h2\u003e\n\u003cp\u003eNVIDIA DGX B200 provides an integrated NVIDIA software environment designed for enterprise AI development, deployment and infrastructure management.\u003c\/p\u003e\n\u003cp\u003eThe NVIDIA DGX B200 software ecosystem includes:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA DGX OS \/ Ubuntu\u003c\/li\u003e\n\u003cli\u003eNVIDIA AI Enterprise\u003c\/li\u003e\n\u003cli\u003eNVIDIA Mission Control\u003c\/li\u003e\n\u003cli\u003eNVIDIA Run:ai technology\u003c\/li\u003e\n\u003cli\u003eNVIDIA NIM microservices\u003c\/li\u003e\n\u003cli\u003eNVIDIA-optimized AI frameworks, libraries and development tools\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSecurity \u0026amp; Management\u003c\/h2\u003e\n\u003cp\u003eDGX B200 provides enterprise-grade system management and security capabilities, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecure Boot\u003c\/li\u003e\n\u003cli\u003eTPM\u003c\/li\u003e\n\u003cli\u003eHost BMC\u003c\/li\u003e\n\u003cli\u003eRedfish\u003c\/li\u003e\n\u003cli\u003eIPMI\u003c\/li\u003e\n\u003cli\u003eSNMP\u003c\/li\u003e\n\u003cli\u003eKVM\u003c\/li\u003e\n\u003cli\u003eWeb-based system management\u003c\/li\u003e\n\u003cli\u003eSelf-encrypting NVMe data drives\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDesigned For\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eGenerative AI\u003c\/li\u003e\n\u003cli\u003eLarge Language Models (LLMs)\u003c\/li\u003e\n\u003cli\u003eTrillion-parameter model workloads\u003c\/li\u003e\n\u003cli\u003eLarge-scale AI training\u003c\/li\u003e\n\u003cli\u003eReal-time AI inference\u003c\/li\u003e\n\u003cli\u003eMultimodal AI\u003c\/li\u003e\n\u003cli\u003eModel fine-tuning\u003c\/li\u003e\n\u003cli\u003eRetrieval-Augmented Generation (RAG)\u003c\/li\u003e\n\u003cli\u003eDeep learning\u003c\/li\u003e\n\u003cli\u003eNatural language processing\u003c\/li\u003e\n\u003cli\u003eComputer vision\u003c\/li\u003e\n\u003cli\u003eScientific computing\u003c\/li\u003e\n\u003cli\u003eHigh-performance computing\u003c\/li\u003e\n\u003cli\u003eEnterprise AI factories\u003c\/li\u003e\n\u003cli\u003eDGX BasePOD\u003c\/li\u003e\n\u003cli\u003eDGX SuperPOD\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eTechnical Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eConfiguration\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX B200\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPUs\u003c\/td\u003e\n\u003ctd\u003e8× NVIDIA B200 Tensor Core GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal GPU Memory\u003c\/td\u003e\n\u003ctd\u003e1,440GB \/ 1.44TB HBM3e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e64TB\/s aggregate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFP4 Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 144 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFP8 Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 72 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVSwitch\u003c\/td\u003e\n\u003ctd\u003e2×\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVLink\u003c\/td\u003e\n\u003ctd\u003eFifth Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVLink Bandwidth\u003c\/td\u003e\n\u003ctd\u003e14.4TB\/s aggregate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e2× Intel Xeon Platinum 8570\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Cores\u003c\/td\u003e\n\u003ctd\u003e56 per CPU \/ 112 total\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Memory\u003c\/td\u003e\n\u003ctd\u003e2TB, configurable to 4TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS Storage\u003c\/td\u003e\n\u003ctd\u003e2× 1.92TB NVMe M.2, RAID 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData Storage\u003c\/td\u003e\n\u003ctd\u003e8× 3.84TB NVMe U.2 SED, RAID 0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaw Data Storage\u003c\/td\u003e\n\u003ctd\u003e30.72TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCluster Networking\u003c\/td\u003e\n\u003ctd\u003e8× NVIDIA ConnectX-7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage \/ Management\u003c\/td\u003e\n\u003ctd\u003e2× NVIDIA BlueField-3 DPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetwork Speed\u003c\/td\u003e\n\u003ctd\u003eUp to 400Gb\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supplies\u003c\/td\u003e\n\u003ctd\u003e6× 3.3kW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePSU Redundancy\u003c\/td\u003e\n\u003ctd\u003e5+1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum System Power\u003c\/td\u003e\n\u003ctd\u003eApproximately 14.3kW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e10U\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum Weight\u003c\/td\u003e\n\u003ctd\u003e142.4kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eWarranty \u0026amp; Support\u003c\/h2\u003e\n\u003cp\u003eNVIDIA DGX B200 is offered with NVIDIA enterprise support options for hardware and software. Exact support entitlement, service level and regional coverage should be confirmed on the commercial quotation for the specific system supplied.\u003c\/p\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147606065444,"sku":null,"price":600000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/NVIDIA-DGX-B200.webp?v=1783443063"},{"product_id":"nvidia-dgx-h100-8-h100-sxm5-ai-supercomputing-platform","title":"NVIDIA DGX H100 ( 8×H100 SXM5 AI Supercomputing Platform )","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp data-start=\"188\" data-end=\"509\"\u003eThe NVIDIA DGX H100 is a powerful AI workstation built for heavy AI workloads, deep learning training, and large-scale model inference. It comes with 8 NVIDIA H100 GPUs, each with 80GB of super-fast HBM3 memory, connected through high-speed NVLink, making it perfect for running large AI models quickly.\u003c\/p\u003e\n\u003cp data-start=\"511\" data-end=\"777\"\u003eIt uses 2 Intel Xeon Platinum 8480+ CPUs (56 cores each) and 2TB of DDR5 memory, providing plenty of processing power and memory for demanding tasks. Storage is handled by 8 NVMe SSDs (3.84TB each), giving a total of ~30TB fast storage for AI datasets.\u003c\/p\u003e\n\u003cp data-start=\"779\" data-end=\"984\"\u003eThe DGX H100 supports popular AI frameworks such as vLLM, Megatron, DeepSpeed, HuggingFace Transformers, TensorRT-LLM, and Triton Inference Server, making it flexible for research and production.\u003c\/p\u003e\n\u003cp data-start=\"986\" data-end=\"1312\"\u003eNetworking is extremely fast with high-speed ConnectX-7 NICs and NVLink + Infiniband for connecting multiple systems together. The system also includes secure boot, TPM 2.0, RAID support, and redundant 3000W power supplies for reliability. It runs NVIDIA DGX OS 6, ready for container-based AI workflows.\u003c\/p\u003e\n\u003cp data-start=\"1314\" data-end=\"1333\"\u003eKey Features:\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e8GPU, HGX H100 SXM5, RoHS NVIDIA DGX H100 System (x1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e8GPU, HGX H100 SXM5, RoHS EWCSC (x1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e0% 3 YRS LABOR, 3 YRS PARTS, 1 YR CRS UNDER LIMITED WARRANTY\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU-Intel-Xeon-8480+ (x2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntel Xeon Platinum 8480+, 2P, 56C, 2.0GHz, 350W TDP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMEM-DR564MC-ER64 (x32)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e64GB DDR5-4800 ECC RDIMM 2Rx4 – Total: 2TB system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDS-25N4-003T8-E1-TXD-NON-008 (x8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSSD 2.5″ NVMe PCIe Gen4 3.84TB, 1DWPD, TLC NAND, 7mm – Total: ~30TB usable NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU-H100 SXM5 Gen5: 900GB\/s via NVLink 4.0 \/ NVSwitch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e80GB HBM3 per GPU (Total: 640GB HBM3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTF32: 32,896 TFLOPS | FP8: 67,000 TFLOPS (aggregate system)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectX-7 NICs: 2x 400GbE or 8x 100GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA NVLink and In niBand Switch Fabric for multi-node DGX SuperPods\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTPM: Secure Boot with UEFI and TPM 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAID: Software RAID 0\/1 for boot drives\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply: Redundant 3000W (Titanium-rated) hot-swappable PSUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSFT-DGXOS-SINGLE (x1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Base Command OS (DGX OS 6) with container orchestration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLM Framework Support: vLLM, NeMo Megatron, DeepSpeed, HuggingFace Transformers, TensorRT-LLM, Triton Inference Server\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterconnection: Full-bandwidth NVLink and In niBand-based scale-out support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147609145636,"sku":null,"price":520000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/NVIDIA-DGX-H100.webp?v=1783443065"},{"product_id":"nvidia-dgx-h200-ai-supercomputer-8-h200-sxm5-gpus-2-intel-xeon-64c-2tb-ddr5-30tb-nvme","title":"NVIDIA DGX H200 AI Supercomputer – 8× NVIDIA H200 Tensor Core GPUs, 1.128TB HBM3e, Dual Intel Xeon Platinum 8480C, 2TB RAM, 30.72TB NVMe, NVLink \u0026 ConnectX-7","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe NVIDIA DGX H200 is an enterprise-grade AI supercomputing platform designed for generative AI, large language models (LLMs), deep learning, high-performance computing (HPC), large-scale inference and advanced data science workloads.\u003c\/p\u003e\n\u003cp\u003ePowered by 8× NVIDIA H200 Tensor Core GPUs, DGX H200 delivers 1.128TB of total HBM3e GPU memory, combined with NVIDIA NVLink and NVSwitch high-speed GPU interconnect technology, dual Intel Xeon processors, 2TB of system memory and enterprise NVMe storage.\u003c\/p\u003e\n\u003ch2\u003eGPU\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPUs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8× NVIDIA H200 Tensor Core GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e141GB HBM3e memory per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTotal GPU Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1,128GB \/ 1.128TB total GPU memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4.8TB\/s memory bandwidth per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterconnect Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 900GB\/s GPU-to-GPU interconnect bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterconnect Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA NVLink and NVSwitch architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe Gen5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003c\/h2\u003e\n\u003ch2\u003eCPU\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× Intel Xeon Platinum 8480C processors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e56 cores per processor, 112 total CPU cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBase Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.0GHz base frequency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMax Turbo Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 3.8GHz maximum turbo frequency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe Gen5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003c\/h2\u003e\n\u003ch2\u003eSystem Memory\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSystem Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2TB system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDIMMs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32 DIMMs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003c\/h2\u003e\n\u003ch2\u003eStorage\u003c\/h2\u003e\n\u003ch3\u003eOperating System Storage\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOS Drives\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× 1.92TB NVMe M.2 SSDs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAID\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRAID 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003c\/h3\u003e\n\u003ch3\u003eData \/ Cache Storage\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eData Drives\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8× 3.84TB NVMe U.2 Self-Encrypting Drives (SED)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTotal Raw Data\/Cache Capacity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e30.72TB total raw data\/cache capacity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAID\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRAID 0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003c\/h2\u003e\n\u003ch2\u003eNetworking\u003c\/h2\u003e\n\u003ch3\u003eCluster Networking\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAdapters\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8× NVIDIA ConnectX-7 single-port network adapters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4× OSFP interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInfiniBand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInfiniBand up to 400Gb\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEthernet support up to 400GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003c\/h3\u003e\n\u003ch3\u003eStorage \u0026amp; In-Band Management\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAdapters\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2× NVIDIA ConnectX-7 dual-port Ethernet adapters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 400GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInfiniBand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInfiniBand support up to 400Gb\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003c\/h3\u003e\n\u003ch3\u003eOut-of-Band Management\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBMC Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDedicated 1GbE RJ45 BMC interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eManagement\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRedfish, IPMI, SNMP, KVM, Web-based management\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003c\/h2\u003e\n\u003ch2\u003eGPU Interconnect\u003c\/h2\u003e\n\u003cp\u003eNVIDIA DGX H200 uses NVIDIA NVLink and NVSwitch technology to provide high-bandwidth communication between all eight H200 GPUs, delivering up to 900GB\/s GPU-to-GPU bandwidth.\u003c\/p\u003e\n\u003cp\u003eThis architecture is optimized for workloads requiring extremely fast communication across multiple GPUs, including large language model training, distributed AI and HPC.\u003c\/p\u003e\n\u003ch2\u003ePower\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Supplies\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6× 3.3kW power supplies\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRedundancy\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4+2 PSU redundancy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInput Power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e200–240VAC, 50–60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum System Power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eApproximately 10.2kW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003c\/h2\u003e\n\u003ch2\u003eSoftware\u003c\/h2\u003e\n\u003cp\u003eNVIDIA DGX H200 supports the NVIDIA DGX software ecosystem and NVIDIA DGX OS, providing an optimized environment for AI development, training, fine-tuning and inference.\u003c\/p\u003e\n\u003cp\u003eCompatible with leading AI frameworks and software environments including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA TensorRT-LLM\u003c\/li\u003e\n\u003cli\u003eNVIDIA Triton Inference Server\u003c\/li\u003e\n\u003cli\u003ePyTorch\u003c\/li\u003e\n\u003cli\u003eHugging Face\u003c\/li\u003e\n\u003cli\u003eDeepSpeed\u003c\/li\u003e\n\u003cli\u003eMegatron-LM\u003c\/li\u003e\n\u003cli\u003evLLM\u003c\/li\u003e\n\u003cli\u003eNVIDIA AI Enterprise ecosystem\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDesigned For\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eGenerative AI\u003c\/li\u003e\n\u003cli\u003eLarge Language Models (LLMs)\u003c\/li\u003e\n\u003cli\u003eFoundation model training\u003c\/li\u003e\n\u003cli\u003eAI model fine-tuning\u003c\/li\u003e\n\u003cli\u003eLarge-scale inference\u003c\/li\u003e\n\u003cli\u003eRetrieval-Augmented Generation (RAG)\u003c\/li\u003e\n\u003cli\u003eDeep learning\u003c\/li\u003e\n\u003cli\u003eNatural language processing\u003c\/li\u003e\n\u003cli\u003eComputer vision\u003c\/li\u003e\n\u003cli\u003eScientific computing\u003c\/li\u003e\n\u003cli\u003eHigh-performance computing\u003c\/li\u003e\n\u003cli\u003eEnterprise AI infrastructure\u003c\/li\u003e\n\u003cli\u003eMulti-node AI clusters\u003c\/li\u003e\n\u003cli\u003eDGX SuperPOD environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eTechnical Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eConfiguration\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX H200\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPUs\u003c\/td\u003e\n\u003ctd\u003e8× NVIDIA H200 Tensor Core GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e141GB HBM3e per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal GPU Memory\u003c\/td\u003e\n\u003ctd\u003e1.128TB HBM3e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e4.8TB\/s per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Interconnect\u003c\/td\u003e\n\u003ctd\u003eNVIDIA NVLink \/ NVSwitch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU-to-GPU Bandwidth\u003c\/td\u003e\n\u003ctd\u003eUp to 900GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e2× Intel Xeon Platinum 8480C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Cores\u003c\/td\u003e\n\u003ctd\u003e56 per CPU \/ 112 total\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Memory\u003c\/td\u003e\n\u003ctd\u003e2TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS Storage\u003c\/td\u003e\n\u003ctd\u003e2× 1.92TB NVMe M.2, RAID 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData Storage\u003c\/td\u003e\n\u003ctd\u003e8× 3.84TB NVMe U.2 SED\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaw Data Storage\u003c\/td\u003e\n\u003ctd\u003e30.72TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCluster Networking\u003c\/td\u003e\n\u003ctd\u003e8× NVIDIA ConnectX-7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetwork Speed\u003c\/td\u003e\n\u003ctd\u003eUp to 400Gb\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eManagement\u003c\/td\u003e\n\u003ctd\u003eBMC \/ Redfish \/ IPMI \/ SNMP \/ KVM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supplies\u003c\/td\u003e\n\u003ctd\u003e6× 3.3kW\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInput Power\u003c\/td\u003e\n\u003ctd\u003e200–240VAC, 50–60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003c\/h2\u003e\n\u003ch2\u003eWarranty \u0026amp; Support\u003c\/h2\u003e\n\u003cp\u003eWarranty, NVIDIA enterprise support entitlement and service coverage are provided according to the specific system and commercial quotation.\u003c\/p\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147610423588,"sku":null,"price":550000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/NVIDIA-DGX-H100_1.webp?v=1783442983"},{"product_id":"nvidia-hgx-b200-8-gpu-platform","title":"NVIDIA HGX B200 (8-GPU) Platform","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe HGX B200 (8-GPU) is a next-generation AI compute platform built on NVIDIA’s Blackwell architecture, optimized for training and deploying massive language models, generative AI, and scientific simulations. With 8 Blackwell SXM GPUs connected via NVLink 5.0 and NVSwitch, this platform delivers breakthrough performance, memory bandwidth, and scalability for data centers and AI superclusters.\u003c\/p\u003e\n\u003ch3\u003eKey Highlights\u003c\/h3\u003e\n\u003ch4\u003eArchitecture \u0026amp; GPU Configuration\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU Architecture\u003c\/strong\u003e: NVIDIA Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU Count\u003c\/strong\u003e: 8 × Blackwell SXM\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTransformer Engine\u003c\/strong\u003e: Second-generation, optimized for FP8 and FP4 precision\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU Interconnect\u003c\/strong\u003e: NVLink 5.0 + NVSwitch\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU-to-GPU Bandwidth\u003c\/strong\u003e: 1.8 TB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTotal NVLink Bandwidth\u003c\/strong\u003e: 14.4 TB\/s\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eMemory\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eTotal GPU Memory\u003c\/strong\u003e: 1.4 TB HBM3e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Type\u003c\/strong\u003e: HBM3e (High Bandwidth Memory)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth per GPU\u003c\/strong\u003e: 600 GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAggregate Bandwidth\u003c\/strong\u003e: 4.8 TB\/s across all GPUs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003ePerformance Metrics\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003ePrecision Type\u003c\/th\u003e\n\u003cth\u003eAggregate Performance (8 GPUs)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP4 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e144 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP8 \/ FP6 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e72 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eINT8 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e72 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP16 \/ BF16 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e36 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTF32 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e18 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP32\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e600 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP64\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e296 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003eThese numbers reflect the platform’s ability to handle both training and inference at scale, with exceptional throughput for transformer-based models and mixed-precision workloads.\u003c\/p\u003e\n\u003ch3\u003eConnectivity \u0026amp; Expansion\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe Generation\u003c\/strong\u003e: PCIe Gen5\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe Bandwidth\u003c\/strong\u003e: 128 GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetworking Bandwidth\u003c\/strong\u003e: 0.8 TB\/s\u003c\/li\u003e\n\u003cli\u003eCompatible with high-speed NICs and DPUs for cluster-scale deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eUse Cases\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eTraining trillion-parameter LLMs\u003c\/li\u003e\n\u003cli\u003eGenerative AI (text, image, video)\u003c\/li\u003e\n\u003cli\u003eScientific computing and simulation\u003c\/li\u003e\n\u003cli\u003eMulti-modal inference at scale\u003c\/li\u003e\n\u003cli\u003eAI SuperPods and hyperscale data centers\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147612324132,"sku":null,"price":390000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/New-Project-1.webp?v=1783442984"},{"product_id":"nvidia-rtx-6000-ada-generation-graphics-card","title":"NVIDIA RTX 6000 Ada Generation Graphics Card","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp data-end=\"708\" data-start=\"282\"\u003eThe NVIDIA RTX 6000 Ada Generation is the ultimate workstation GPU designed to meet the demands of today’s most intensive professional workflows. Built on the cutting-edge Ada Lovelace architecture, this powerhouse combines industry-leading compute performance, advanced AI acceleration, and massive memory capacity to enable creators, data scientists, and engineers to push their projects further and faster than ever before.\u003c\/p\u003e\n\u003ch3 data-end=\"766\" data-start=\"715\"\u003eExceptional Performance for Demanding Workloads\u003c\/h3\u003e\n\u003cp data-end=\"1156\" data-start=\"768\"\u003eAt the heart of the RTX 6000 Ada Generation lies an impressive 48GB of ultra-fast GDDR6 ECC memory, ensuring robust error correction and the capacity to handle massive datasets, complex 3D models, and intricate simulations with ease. This vast memory pool is critical for workflows like 3D rendering, AI training, and scientific computing that require large, high-resolution data buffers.\u003c\/p\u003e\n\u003cp data-end=\"1563\" data-start=\"1158\"\u003eThe GPU’s third-generation RT cores deliver real-time ray tracing throughput of 210.6 TFLOPS, enabling stunningly realistic lighting, shadows, and reflections with unprecedented speed. Coupled with fourth-generation Tensor cores capable of delivering 1457 AI TOPS, the RTX 6000 Ada Generation accelerates deep learning training and inference, allowing AI models to train faster and infer more efficiently.\u003c\/p\u003e\n\u003cp data-end=\"1814\" data-start=\"1565\"\u003eWith single-precision floating-point performance reaching 91.1 TFLOPS, this card provides up to 10x the speed of previous generations, giving professionals the power they need to handle the most complex graphics and compute tasks without compromise.\u003c\/p\u003e\n\u003ch3 data-end=\"1876\" data-start=\"1821\"\u003eKey Features That Set RTX 6000 Ada Generation Apart\u003c\/h3\u003e\n\u003cul data-end=\"3038\" data-start=\"1878\"\u003e\n\u003cli data-end=\"2082\" data-start=\"1878\"\u003e\n\u003cp data-end=\"2082\" data-start=\"1880\"\u003e\u003cstrong data-end=\"1909\" data-start=\"1880\"\u003eAda Lovelace Architecture\u003c\/strong\u003e: The latest NVIDIA GPU architecture offering enhanced CUDA cores, RT cores, and Tensor cores designed to deliver unprecedented performance in rendering, AI, and simulation.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2235\" data-start=\"2084\"\u003e\n\u003cp data-end=\"2235\" data-start=\"2086\"\u003e\u003cstrong data-end=\"2111\" data-start=\"2086\"\u003e48GB GDDR6 ECC Memory\u003c\/strong\u003e: Large, error-corrected memory supports massive workloads, enabling smoother handling of datasets and complex applications.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2422\" data-start=\"2237\"\u003e\n\u003cp data-end=\"2422\" data-start=\"2239\"\u003e\u003cstrong data-end=\"2268\" data-start=\"2239\"\u003eThird-Generation RT Cores\u003c\/strong\u003e: Delivering double the ray tracing throughput over previous generations for photorealistic rendering, architectural visualization, and cinematic effects.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2618\" data-start=\"2424\"\u003e\n\u003cp data-end=\"2618\" data-start=\"2426\"\u003e\u003cstrong data-end=\"2460\" data-start=\"2426\"\u003eFourth-Generation Tensor Cores\u003c\/strong\u003e: Utilizing the FP8 data format, these cores offer more than twice the AI performance for accelerated machine learning workloads directly on your workstation.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2834\" data-start=\"2620\"\u003e\n\u003cp data-end=\"2834\" data-start=\"2622\"\u003e\u003cstrong data-end=\"2656\" data-start=\"2622\"\u003eAdvanced AV1 Hardware Encoding\u003c\/strong\u003e: Supports highly efficient AV1 video encoding, ideal for 4K streaming, video editing, and broadcast applications, offering up to 40% better compression compared to older codecs.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3038\" data-start=\"2836\"\u003e\n\u003cp data-end=\"3038\" data-start=\"2838\"\u003e\u003cstrong data-end=\"2904\" data-start=\"2838\"\u003eVirtualization Ready with NVIDIA RTX Virtual Workstation (vWS)\u003c\/strong\u003e: Enables multiple high-performance virtual workstations on a single physical GPU, ideal for remote collaboration and cloud workflows.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"3093\" data-start=\"3045\"\u003eDesigned for Professionals Across Industries\u003c\/h3\u003e\n\u003cp data-end=\"3332\" data-start=\"3095\"\u003eWhether you’re developing next-generation AI models, creating complex 3D designs, or working with high-resolution video content, the RTX 6000 Ada Generation is engineered to elevate your workflow. Here’s how it supports different fields:\u003c\/p\u003e\n\u003cul data-end=\"4137\" data-start=\"3334\"\u003e\n\u003cli data-end=\"3501\" data-start=\"3334\"\u003e\n\u003cp data-end=\"3501\" data-start=\"3336\"\u003e\u003cstrong data-end=\"3382\" data-start=\"3336\"\u003eArtificial Intelligence \u0026amp; Machine Learning\u003c\/strong\u003e: Dramatically accelerate model training and real-time inference with powerful Tensor cores optimized for AI workloads.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3657\" data-start=\"3503\"\u003e\n\u003cp data-end=\"3657\" data-start=\"3505\"\u003e\u003cstrong data-end=\"3532\" data-start=\"3505\"\u003e3D Modeling \u0026amp; Rendering\u003c\/strong\u003e: Benefit from faster, more accurate ray-traced visuals for film production, product design, and architectural visualization.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3800\" data-start=\"3659\"\u003e\n\u003cp data-end=\"3800\" data-start=\"3661\"\u003e\u003cstrong data-end=\"3699\" data-start=\"3661\"\u003eVideo Content Creation \u0026amp; Streaming\u003c\/strong\u003e: Leverage the AV1 encoder for efficient, high-quality video streaming and post-production workflows.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3975\" data-start=\"3802\"\u003e\n\u003cp data-end=\"3975\" data-start=\"3804\"\u003e\u003cstrong data-end=\"3850\" data-start=\"3804\"\u003eScientific Simulation \u0026amp; Data Visualization\u003c\/strong\u003e: Harness massive compute power and memory capacity to process large datasets and run complex simulations at higher fidelity.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4137\" data-start=\"3977\"\u003e\n\u003cp data-end=\"4137\" data-start=\"3979\"\u003e\u003cstrong data-end=\"4026\" data-start=\"3979\"\u003eVirtual Workstations \u0026amp; Remote Collaboration\u003c\/strong\u003e: Easily deploy virtual GPU instances to support distributed teams while maintaining desktop-level performance.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"4200\" data-start=\"4144\"\u003eSuperior Performance Backed by Real-World Benchmarks\u003c\/h3\u003e\n\u003cp data-end=\"4617\" data-start=\"4202\"\u003eIn benchmark tests, the RTX 6000 Ada Generation consistently outperforms previous models, delivering smoother, faster results across a range of professional applications. Whether running Chaos V-Ray for photorealistic rendering, generating images with AI-powered tools like Stable Diffusion, or visualizing data in NVIDIA Omniverse, users experience remarkable speed-ups that translate into real productivity gains.\u003c\/p\u003e\n\u003ch3 data-end=\"4664\" data-start=\"4624\"\u003eTechnical Specifications at a Glance\u003c\/h3\u003e\n\u003cul data-end=\"5255\" data-start=\"4666\"\u003e\n\u003cli data-end=\"4711\" data-start=\"4666\"\u003e\n\u003cp data-end=\"4711\" data-start=\"4668\"\u003e\u003cstrong data-end=\"4688\" data-start=\"4668\"\u003eGPU Architecture\u003c\/strong\u003e: NVIDIA Ada Lovelace\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4782\" data-start=\"4712\"\u003e\n\u003cp data-end=\"4782\" data-start=\"4714\"\u003e\u003cstrong data-end=\"4728\" data-start=\"4714\"\u003eCUDA Cores\u003c\/strong\u003e: Next-generation, enhanced for graphics and compute\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4843\" data-start=\"4783\"\u003e\n\u003cp data-end=\"4843\" data-start=\"4785\"\u003e\u003cstrong data-end=\"4797\" data-start=\"4785\"\u003eRT Cores\u003c\/strong\u003e: Third-generation for real-time ray tracing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4900\" data-start=\"4844\"\u003e\n\u003cp data-end=\"4900\" data-start=\"4846\"\u003e\u003cstrong data-end=\"4862\" data-start=\"4846\"\u003eTensor Cores\u003c\/strong\u003e: Fourth-generation, FP8 data format\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4931\" data-start=\"4901\"\u003e\n\u003cp data-end=\"4931\" data-start=\"4903\"\u003e\u003cstrong data-end=\"4913\" data-start=\"4903\"\u003eMemory\u003c\/strong\u003e: 48GB GDDR6 ECC\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4997\" data-start=\"4932\"\u003e\n\u003cp data-end=\"4997\" data-start=\"4934\"\u003e\u003cstrong data-end=\"4954\" data-start=\"4934\"\u003eMemory Bandwidth\u003c\/strong\u003e: High-speed for data-intensive workflows\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"5029\" data-start=\"4998\"\u003e\n\u003cp data-end=\"5029\" data-start=\"5000\"\u003e\u003cstrong data-end=\"5021\" data-start=\"5000\"\u003ePower Consumption\u003c\/strong\u003e: 300W\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"5073\" data-start=\"5030\"\u003e\n\u003cp data-end=\"5073\" data-start=\"5032\"\u003e\u003cstrong data-end=\"5051\" data-start=\"5032\"\u003eDisplay Outputs\u003c\/strong\u003e: 4x DisplayPort 1.4\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"5126\" data-start=\"5074\"\u003e\n\u003cp data-end=\"5126\" data-start=\"5076\"\u003e\u003cstrong data-end=\"5091\" data-start=\"5076\"\u003eForm Factor\u003c\/strong\u003e: Dual-slot, 4.4” (H) x 10.5” (L)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"5150\" data-start=\"5127\"\u003e\n\u003cp data-end=\"5150\" data-start=\"5129\"\u003e\u003cstrong data-end=\"5137\" data-start=\"5129\"\u003ePCIe\u003c\/strong\u003e: Gen 4 x16\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"5233\" data-start=\"5151\"\u003e\n\u003cp data-end=\"5233\" data-start=\"5153\"\u003e\u003cstrong data-end=\"5173\" data-start=\"5153\"\u003eSoftware Support\u003c\/strong\u003e: NVIDIA AI Enterprise, RTX Virtual Workstation, vPC\/vApps\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"5255\" data-start=\"5234\"\u003e\n\u003cp data-end=\"5255\" data-start=\"5236\"\u003e\u003cstrong data-end=\"5248\" data-start=\"5236\"\u003eVR Ready\u003c\/strong\u003e: Yes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"5311\" data-start=\"5262\"\u003eUnlock the Full Potential of Your Workstation\u003c\/h3\u003e\n\u003cp data-end=\"5664\" data-start=\"5313\"\u003eThe NVIDIA RTX 6000 Ada Generation transforms your desktop into a powerhouse capable of tackling the most challenging AI, graphics, and compute workloads. By combining leading-edge hardware innovations with NVIDIA’s robust software ecosystem, this GPU empowers professionals to innovate faster, create with greater fidelity, and work more efficiently. Upgrade to the RTX 6000 Ada Generation today and experience the next level of professional graphics and AI performance.\u003c\/p\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147613995300,"sku":null,"price":5699.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/Quadro-P1000-3.jpg?v=1783442982"},{"product_id":"soika-al-workstation-nvidia-h100-80g-4","title":"Soika Al Workstation NVIDIA H100 80G*4","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth colspan=\"2\"\u003eSOIKA AI WORKSTATION SM5000 Specifications\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eRTX 5000 Ada\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConfiguration\u003c\/td\u003e\n\u003ctd\u003eOPTIMIZED X13 4U, 4GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003eX13DEG-QT-P, 749TS-R2KOSB, RoHS SYS-741GE-TNRT (x1) X13 4U, 4GPU, X13DEG-QT-P, 749TS-R2KOSB, RoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e0% 3 YRS LABOR, 3 YRS PARTS, 1 YR CRS UNDER LIMITED WARRANTY\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e64GB DDR5-5600, ECC RDIMM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1.9TB NVMe PCIe4, 1DWPD TLC D, 7mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eGPU-NVQRTX5000-ADA, NVIDIA RTX5000 ADA Gen 32GB GDDR6 PCIe 4.0 – Active Cooling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eTPM 2.0 using SLB9670\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAID\u003c\/td\u003e\n\u003ctd\u003eIntel VROC Premium, RAID 1, 5, 10\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Management\u003c\/td\u003e\n\u003ctd\u003eSMC System Software Suite Node License\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubscription\u003c\/td\u003e\n\u003ctd\u003eSoika Enterprise 1 year subscription\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterconnection\u003c\/td\u003e\n\u003ctd\u003eLocal cluster support by Soika Enterprise\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. 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Built on the AMD EPYC™ 9004\/9005 Series platform, it supports up to\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e8 double-width GPUs\u003c\/strong\u003e,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e24 DDR5 DIMMs\u003c\/strong\u003e, and\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4x 2000W Titanium-level redundant power supplies\u003c\/strong\u003e, delivering exceptional performance, scalability, and reliability for enterprise and research environments.\u003c\/p\u003e\n\u003ch2\u003e Key Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eFlexible GPU Support\u003c\/strong\u003e: Compatible with both active and passive GPUs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDirect-Attached GPU Configuration\u003c\/strong\u003e: Supports up to 8 full-length, double-width GPUs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePowerful CPU Architecture\u003c\/strong\u003e: Dual AMD EPYC™ 9004\/9005 Series processors, up to 400W TDP per CPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMassive Memory Capacity\u003c\/strong\u003e: Up to 6TB DDR5 ECC RDIMM across 24 DIMM slots, up to 6000 MT\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Cooling\u003c\/strong\u003e: 8 hot-swappable heavy-duty fans with intelligent speed control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Efficiency Power\u003c\/strong\u003e: 4x 2000W Titanium-level redundant PSUs (2+2 configuration)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVersatile Storage\u003c\/strong\u003e:\n\u003cul\u003e\n\u003cli\u003e2 front hot-swap 2.5″ SATA bays\u003c\/li\u003e\n\u003cli\u003e4 front hot-swap 2.5″ NVMe bays\u003c\/li\u003e\n\u003cli\u003e1 onboard M.2 PCIe 3.0 x4 NVMe slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eGPU \u0026amp; Compute Capabilities\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMax GPU Count\u003c\/strong\u003e: Up to 8 double-width GPUs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupported GPUs\u003c\/strong\u003e:\n\u003cul\u003e\n\u003cli\u003e\n\u003cem\u003eNVIDIA PCIe\u003c\/em\u003e: H100, H100 NVL, A100, A30, A40, L40, L40S, RTX 6000 Ada, RTX A5000\/A6000\/A5500\/A4000, RTX 4000 Ada\/SFF, RTX 4500\/5000 Ada\u003c\/li\u003e\n\u003cli\u003e\n\u003cem\u003eAMD PCIe\u003c\/em\u003e: Instinct™ MI210, MI100\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterconnects\u003c\/strong\u003e:\n\u003cul\u003e\n\u003cli\u003ePCIe 5.0 x16 CPU-to-GPU\u003c\/li\u003e\n\u003cli\u003eOptional NVIDIA® NVLink® Bridge \/ AMD Infinity Fabric™ Link\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSystem Architecture\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMotherboard\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSuper H13DSG-O-CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eChipset\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAMD SP5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory Voltage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.1V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLAN Ports\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 x 10GbE RJ45 + 1 x 1GbE BMC LAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eI\/O Ports\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 x USB (rear), 1 x VGA, 1 x COM port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBIOS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAMI 32MB SPI Flash EEPROM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eManagement\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSuperCloud Composer®, SSM, SUM, SD5, SDO, TAS, SAA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSecurity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTPM 2.0, Silicon Root of Trust, Secure Boot, Firmware Recovery, BMC Protections\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eChassis \u0026amp; Environmental Specs\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eAttribute\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4U Rackmount (Model: CSE-418G2TS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions (HxWxD)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e178 mm x 437 mm x 737 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNet: 65.5 lbs (29.7 kg); Gross: 100 lbs (45.3 kg)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eColor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBlack front, silver body\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFront Panel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLEDs for HDD, network, power, overheat; Power \u0026amp; Reset buttons\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExpansion Slots\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDefault: 9 x PCIe 5.0 x16 FHFL; Option A: 10 x PCIe 5.0 x16 FHFL\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temp.\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10°C to 35°C; Non-op: -40°C to 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHumidity Range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOperating: 8%–90%; Non-op: 5%–95% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ch2\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cspan\u003ePower Supply Details\u003c\/span\u003e\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eConfiguration\u003c\/strong\u003e: 4 x 2000W Redundant (2+2), Titanium Level (96% efficiency)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInput Range\u003c\/strong\u003e:\n\u003cul\u003e\n\u003cli\u003e1000W: 100–127Vac\u003c\/li\u003e\n\u003cli\u003e1800W: 200–220Vac\u003c\/li\u003e\n\u003cli\u003e1980W: 220–230Vac\u003c\/li\u003e\n\u003cli\u003e2000W: 220–240Vac \/ 230–240Vdc\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOutput\u003c\/strong\u003e:\n\u003cul\u003e\n\u003cli\u003e+12V: Up to 166A\u003c\/li\u003e\n\u003cli\u003e12V SB: 3.5A\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147630018852,"sku":null,"price":43000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/Supermicro-AS-4125GS.webp?v=1783443136"},{"product_id":"h3c-s9827-series-high-density-intelligent-data-center-switches","title":"H3C S9827 Series High-Density Intelligent Data Center Switches","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe H3C S9827 Series is a next-generation high-performance Ethernet switch family designed for hyperscale data centers, cloud computing environments, and AI workloads. With ultra-high port density, RoCEv2 support, and advanced telemetry capabilities, it delivers lossless networking, low-latency RDMA transport, and automated operations. The series supports up to 800G per port, modular airflow, and flexible deployment topologies, making it ideal for AIGC, HPC, and distributed storage fabrics.\u003c\/p\u003e\n\u003ch2 data-start=\"330\" data-end=\"394\"\u003eSpecification Table —\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"358\" data-end=\"394\"\u003eH3C S9827 Ethernet Switch (RoCE)\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cdiv class=\"_tableContainer_sk2ct_1\"\u003e\n\u003cdiv class=\"_tableWrapper_sk2ct_13 group flex w-fit flex-col-reverse\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\" data-start=\"396\" data-end=\"1401\"\u003e\n\u003cthead data-start=\"396\" data-end=\"427\"\u003e\n\u003ctr data-start=\"396\" data-end=\"427\"\u003e\n\u003cth data-start=\"396\" data-end=\"410\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"398\" data-end=\"409\"\u003eFeature\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth data-start=\"410\" data-end=\"427\" data-col-size=\"lg\"\u003e\u003cstrong data-start=\"412\" data-end=\"425\"\u003eH3C S9827\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody data-start=\"461\" data-end=\"1401\"\u003e\n\u003ctr data-start=\"461\" data-end=\"513\"\u003e\n\u003ctd data-start=\"461\" data-end=\"479\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"463\" data-end=\"478\"\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"479\" data-end=\"513\" data-col-size=\"lg\"\u003e1U, ≤12.2 kg (model dependent)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"514\" data-end=\"587\"\u003e\n\u003ctd data-start=\"514\" data-end=\"539\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"516\" data-end=\"538\"\u003ePort Configuration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"539\" data-end=\"587\" data-col-size=\"lg\"\u003eUp to 64 × 800G or 128 × 400G Ethernet ports\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"588\" data-end=\"640\"\u003e\n\u003ctd data-start=\"588\" data-end=\"610\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"590\" data-end=\"609\"\u003eFabric Capacity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"610\" data-end=\"640\" data-col-size=\"lg\"\u003eUp to 102.4 Tb\/s switching\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"641\" data-end=\"684\"\u003e\n\u003ctd data-start=\"641\" data-end=\"665\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"643\" data-end=\"664\"\u003ePacket Processing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"665\" data-end=\"684\" data-col-size=\"lg\"\u003e\u0026lt;1.2 μs latency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"685\" data-end=\"746\"\u003e\n\u003ctd data-start=\"685\" data-end=\"702\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"687\" data-end=\"701\"\u003eThroughput\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"702\" data-end=\"746\" data-col-size=\"lg\"\u003eNot specified (higher density with 800G)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"747\" data-end=\"801\"\u003e\n\u003ctd data-start=\"747\" data-end=\"771\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"749\" data-end=\"770\"\u003ePower Consumption\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"771\" data-end=\"801\" data-col-size=\"lg\"\u003eMax: 739W (dual AC inputs)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"802\" data-end=\"916\"\u003e\n\u003ctd data-start=\"802\" data-end=\"819\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"804\" data-end=\"818\"\u003eManagement\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"819\" data-end=\"916\" data-col-size=\"lg\"\u003eExternal management, telemetry, Inband Network Telemetry (INT), Zero-Touch Provisioning (ZTP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"917\" data-end=\"1067\"\u003e\n\u003ctd data-start=\"917\" data-end=\"940\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"919\" data-end=\"939\"\u003eProtocol Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"940\" data-end=\"1067\" data-col-size=\"lg\"\u003e• RoCEv2 with PFC + ECN\u003cbr\u003e• DCBX for lossless Ethernet\u003cbr\u003e• ECMP for scale-out fabrics\u003cbr\u003e• Next-gen 800G Ethernet support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1068\" data-end=\"1268\"\u003e\n\u003ctd data-start=\"1068\" data-end=\"1092\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"1070\" data-end=\"1091\"\u003eAI \u0026amp; HPC Features\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"1092\" data-end=\"1268\" data-col-size=\"lg\"\u003e• High-density port scaling (400G\/800G)\u003cbr\u003e• Lower latency with RoCEv2\u003cbr\u003e• Lossless transport (DCBX, PFC)\u003cbr\u003e• Future-ready for AIGC workloads and next-gen AI data centers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1269\" data-end=\"1401\"\u003e\n\u003ctd data-start=\"1269\" data-end=\"1300\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"1271\" data-end=\"1299\"\u003eOptimal AI\/HPC Use Cases\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"lg\" data-start=\"1300\" data-end=\"1401\"\u003eNext-gen\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"1311\" data-end=\"1335\"\u003e800G AI data centers\u003c\/strong\u003e,\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"1337\" data-end=\"1355\"\u003eAIGC workloads\u003c\/strong\u003e, large-scale HPC clusters with RoCE fabrics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147632148772,"sku":null,"price":30000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/H3C-S9827_e6de12fd-e44e-47d4-b7b1-04e02bb4e543.webp?v=1783443139"},{"product_id":"h3c-s9855-series-high-density-rocev2-ethernet-switch-for-ai-hpc-data-centers","title":"H3C S9855 Series High-Density RoCEv2 Ethernet Switch for AI \u0026 HPC Data Centers","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe H3C S9855 Series is a next-generation high-performance Ethernet switch family designed for AI-driven data centers, HPC clusters, and RDMA-based storage fabrics. With support for RoCEv2, PFC, ECN, and ETS, the S9855 enables lossless, low-latency networking ideal for GPU-to-GPU communication, large-scale AI training, and AIGC workloads.\u003c\/p\u003e\n\u003cp\u003eAvailable in multiple configurations—including S9855-48CD8D, S9855-24B8D, and S9855-40B—this series offers flexible port densities of 100G, 200G, and 400G, with powerful telemetry and SDN capabilities. It supports real-time visibility, automated O\u0026amp;M, and seamless integration with H3C’s SeerEngine-DC controller for intelligent fabric orchestration.\u003c\/p\u003e\n\u003ch2\u003eAttribute Table – H3C S9855 Series\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eAttribute\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eSpecification \/ Description\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel Variants\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eS9855-48CD8D, S9855-24B8D, S9855-40B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePort Configuration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 48×100G + 8×400G (QSFP-DD), or 24\/40×200G (QSFP56) + 8×400G\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSwitching Capacity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 25.6 Tbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePacket Forwarding Rate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 5346.7 Mpps (S9855-32D model)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLatency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;1.2μs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRoCEv2 Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eYes – with PFC, ECN, ETS, DCBX, and lossless Ethernet features\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTelemetry \u0026amp; Visibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eReal-time RDMA stats, alarms, and resource data via ERSPAN and gRPC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSDN Capability\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOpenFlow, NETCONF, RESTful APIs; compatible with SeerEngine-DC for SeerFabric orchestration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNetwork Features\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMP-BGP EVPN, VXLAN VTEP, Segment Routing, DRNI (M-LAG), IPv4\/IPv6, MPLS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSecurity Features\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eACL, IPsec, DDoS protection, PFC deadlock watchdog\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCooling \u0026amp; Redundancy\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eModular fans and power supplies with airflow direction control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1U or 2U rackmount (model dependent), ≤12.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTarget Applications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI training clusters, AIGC workloads, RDMA storage, GPU interconnect, automated data centers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147632869668,"sku":null,"price":14999.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/H3C-S9855-Series.webp?v=1783443140"},{"product_id":"nvidia-quantum-2-qm9700","title":"NVIDIA Quantum-2 QM9700","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp data-start=\"282\" data-end=\"677\"\u003eThe NVIDIA Quantum-2 QM9700 is one of the most advanced InfiniBand switches on the market, designed to meet the needs of AI supercomputers, HPC clusters, and enterprise data centers. It combines unmatched bandwidth, ultra-low latency, and smart networking features to accelerate the most demanding workloads, from training large AI models to running complex scientific simulations.\u003c\/p\u003e\n\u003cp data-start=\"679\" data-end=\"995\"\u003eUnlike traditional switches that only forward data, the QM9700 comes with in-network computing (SHARPv3), adaptive routing, congestion control, and even self-healing capabilities. This means your network not only delivers raw speed but also optimizes itself for efficiency, stability, and performance at scale.\u003c\/p\u003e\n\u003ch2 data-start=\"1002\" data-end=\"1031\"\u003eTechnical Specifications\u003c\/h2\u003e\n\u003cdiv class=\"_tableContainer_sk2ct_1\"\u003e\n\u003cdiv class=\"_tableWrapper_sk2ct_13 group flex w-fit flex-col-reverse\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\" data-start=\"1033\" data-end=\"1675\"\u003e\n\u003cthead data-start=\"1033\" data-end=\"1063\"\u003e\n\u003ctr data-start=\"1033\" data-end=\"1063\"\u003e\n\u003cth data-start=\"1033\" data-end=\"1048\" data-col-size=\"sm\"\u003eFeatures\u003c\/th\u003e\n\u003cth data-start=\"1048\" data-end=\"1063\" data-col-size=\"md\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody data-start=\"1095\" data-end=\"1675\"\u003e\n\u003ctr data-start=\"1095\" data-end=\"1158\"\u003e\n\u003ctd data-start=\"1095\" data-end=\"1120\" data-col-size=\"sm\"\u003ePort Configuration\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1120\" data-end=\"1158\"\u003e64 × 400Gb\/s NDR InfiniBand (OSFP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1159\" data-end=\"1204\"\u003e\n\u003ctd data-start=\"1159\" data-end=\"1181\" data-col-size=\"sm\"\u003eFabric Capacity\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1181\" data-end=\"1204\"\u003e51.2 Tb\/s switching\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1205\" data-end=\"1243\"\u003e\n\u003ctd data-start=\"1205\" data-end=\"1229\" data-col-size=\"sm\"\u003ePacket Processing\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1229\" data-end=\"1243\"\u003e~66.5 Bpps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1244\" data-end=\"1277\"\u003e\n\u003ctd data-start=\"1244\" data-end=\"1258\" data-col-size=\"sm\"\u003eLatency\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1258\" data-end=\"1277\"\u003eSub-microsecond\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1278\" data-end=\"1423\"\u003e\n\u003ctd data-start=\"1278\" data-end=\"1307\" data-col-size=\"sm\"\u003eProtocol \u0026amp; AI Features\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1307\" data-end=\"1423\"\u003eSHARPv3 in-network computing\u003cbr\u003eAdaptive routing\u003cbr\u003eAdvanced congestion control\u003cbr\u003eSelf-healing networking\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1424\" data-end=\"1487\"\u003e\n\u003ctd data-start=\"1424\" data-end=\"1441\" data-col-size=\"sm\"\u003eManagement\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1441\" data-end=\"1487\"\u003eOnboard Subnet Manager (up to 2,000 nodes)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1488\" data-end=\"1521\"\u003e\n\u003ctd data-start=\"1488\" data-end=\"1506\" data-col-size=\"sm\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1506\" data-end=\"1521\"\u003e1U, 14.5 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1522\" data-end=\"1583\"\u003e\n\u003ctd data-start=\"1522\" data-end=\"1546\" data-col-size=\"sm\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1546\" data-end=\"1583\"\u003eTypical: 720W with passive cables\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1584\" data-end=\"1675\"\u003e\n\u003ctd data-start=\"1584\" data-end=\"1614\" data-col-size=\"sm\"\u003eOptimal AI\/HPC Use Case\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1614\" data-end=\"1675\"\u003eLarge-scale training clusters, DGX SuperPOD architectures\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 data-start=\"1682\" data-end=\"1717\"\u003eWhy QM9700 is the Right Choice\u003c\/h2\u003e\n\u003cul data-start=\"1719\" data-end=\"2318\"\u003e\n\u003cli data-start=\"1719\" data-end=\"1840\"\u003e\n\u003cp data-start=\"1721\" data-end=\"1840\"\u003eHigh-speed networking: 64 ports of 400Gb\/s provide a total of 51.2 Tb\/s throughput for uncompromised performance.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1841\" data-end=\"1958\"\u003e\n\u003cp data-start=\"1843\" data-end=\"1958\"\u003eUltra-low latency: Sub-microsecond response time ensures smooth communication between GPUs and compute nodes.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1959\" data-end=\"2085\"\u003e\n\u003cp data-start=\"1961\" data-end=\"2085\"\u003eAI-ready features: SHARPv3 reduces communication overhead, accelerating collective operations in AI and HPC workloads.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2086\" data-end=\"2198\"\u003e\n\u003cp data-start=\"2088\" data-end=\"2198\"\u003eScalable management: Onboard Subnet Manager supports up to 2,000 nodes, making cluster expansion simple.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2199\" data-end=\"2318\"\u003e\n\u003cp data-start=\"2201\" data-end=\"2318\"\u003eEfficient and compact: 1U design with 720W typical power consumption makes it both space- and energy-efficient.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"2325\" data-end=\"2359\"\u003ePerfect for AI \u0026amp; HPC at Scale\u003c\/h2\u003e\n\u003cp data-start=\"2325\" data-end=\"2359\"\u003eThe QM9700 is designed to meet the rising demands of modern AI networking and \u003ca href=\"https:\/\/en.wikipedia.org\/wiki\/High-performance_computing\" target=\"_blank\" rel=\"noopener\"\u003eHPC\u003c\/a\u003e\u003ca href=\"https:\/\/en.wikipedia.org\/wiki\/High-performance_computing\" rel=\"noopener\" target=\"_blank\"\u003e environments\u003c\/a\u003e. As the backbone of DGX SuperPOD architectures, it is the ideal choice for organizations running large-scale AI training clusters, foundation models, generative AI workloads, and scientific simulations. With its unmatched speed, intelligent features, and reliability, the NVIDIA Quantum-2 QM9700 is more than just a switch—it is the engine driving the future of supercomputing.\u003c\/p\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147634442532,"sku":null,"price":19900.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/NVIDIA-Quantum-2-QM9700.webp?v=1783443143"},{"product_id":"nvidia-quantum-2-qm9790-infiniband-switch-64-400gb-s-ndr-sharpv3-1u","title":"NVIDIA Quantum-2 QM9790 InfiniBand Switch (64×400Gb\/s NDR, SHARPv3, 1U)","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eThe NVIDIA Quantum-2 QM9790 is a high-performance InfiniBand switch purpose-built for large-scale AI training clusters and high-performance computing (HPC) fabrics. Featuring 64 ports of 400Gb\/s NDR InfiniBand in a compact 1U chassis, the QM9790 delivers an aggregate bidirectional throughput of 51.2 Tb\/s and packet processing capacity of 66.5 billion packets per second (Bpps).\u003c\/p\u003e\n\u003cp\u003eBuilt on Quantum-2 architecture, the QM9790 supports SHARPv3 in-network computing, adaptive routing, and advanced congestion control, enabling ultra-low latency and efficient collective operations for distributed AI workloads. It is validated for DGX SuperPOD architectures, making it ideal for hyperscale AI deployments, generative model training, and scientific simulations.\u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2 data-start=\"204\" data-end=\"265\"\u003eSpecification Table —\u003cspan\u003e \u003c\/span\u003e\u003cstrong data-start=\"232\" data-end=\"265\"\u003e400Gb\/s NDR InfiniBand Switch\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cdiv class=\"_tableContainer_sk2ct_1\"\u003e\n\u003cdiv class=\"_tableWrapper_sk2ct_13 group flex w-fit flex-col-reverse\" tabindex=\"-1\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\" data-start=\"267\" data-end=\"1045\"\u003e\n\u003cthead data-start=\"267\" data-end=\"306\"\u003e\n\u003ctr data-start=\"267\" data-end=\"306\"\u003e\n\u003cth data-start=\"267\" data-end=\"285\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"269\" data-end=\"284\"\u003eKey Feature\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth data-start=\"285\" data-end=\"306\" data-col-size=\"md\"\u003e\u003cstrong data-start=\"287\" data-end=\"304\"\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody data-start=\"348\" data-end=\"1045\"\u003e\n\u003ctr data-start=\"348\" data-end=\"411\"\u003e\n\u003ctd data-start=\"348\" data-end=\"373\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"350\" data-end=\"372\"\u003ePort Configuration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"373\" data-end=\"411\"\u003e64 × 400Gb\/s NDR InfiniBand (OSFP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"412\" data-end=\"475\"\u003e\n\u003ctd data-start=\"412\" data-end=\"437\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"414\" data-end=\"436\"\u003eSwitching Capacity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"437\" data-end=\"475\"\u003e51.2 Tb\/s bidirectional throughput\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"476\" data-end=\"514\"\u003e\n\u003ctd data-start=\"476\" data-end=\"500\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"478\" data-end=\"499\"\u003ePacket Processing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"500\" data-end=\"514\"\u003e~66.5 Bpps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"515\" data-end=\"558\"\u003e\n\u003ctd data-start=\"515\" data-end=\"529\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"517\" data-end=\"528\"\u003eLatency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"529\" data-end=\"558\"\u003eSub-microsecond switching\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"559\" data-end=\"602\"\u003e\n\u003ctd data-start=\"559\" data-end=\"577\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"561\" data-end=\"576\"\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"577\" data-end=\"602\"\u003e1U rackmount, 14.5 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"603\" data-end=\"666\"\u003e\n\u003ctd data-start=\"603\" data-end=\"627\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"605\" data-end=\"626\"\u003ePower Consumption\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"627\" data-end=\"666\"\u003eTypical: 720W (with passive cables)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"667\" data-end=\"762\"\u003e\n\u003ctd data-start=\"667\" data-end=\"692\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"669\" data-end=\"691\"\u003eManagement Options\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"692\" data-end=\"762\"\u003eOnboard subnet manager (up to 2,000 nodes) or external UFM control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"763\" data-end=\"860\"\u003e\n\u003ctd data-start=\"763\" data-end=\"786\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"765\" data-end=\"785\"\u003eProtocol Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"786\" data-end=\"860\"\u003eNative InfiniBand, RDMA, SHARPv3, adaptive routing, congestion control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"861\" data-end=\"977\"\u003e\n\u003ctd data-start=\"861\" data-end=\"887\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"863\" data-end=\"886\"\u003eAI\/HPC Optimization\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"887\" data-end=\"977\"\u003eSHARP offloads for collective ops, self-healing networking, DGX SuperPOD compatibility\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"978\" data-end=\"1045\"\u003e\n\u003ctd data-start=\"978\" data-end=\"1005\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"980\" data-end=\"1004\"\u003eSupported Topologies\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"md\" data-start=\"1005\" data-end=\"1045\"\u003eFat Tree, SlimFly, DragonFly+, Torus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51147635130660,"sku":null,"price":31940.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/NVIDIA-Quantum-2-QM9790.webp?v=1783443077"},{"product_id":"dctank-aw1","title":"DCTANK AW1","description":"\u003ch2\u003e\u003cstrong\u003e\u003cspan\u003eSpecification Details For DCTANK AW1\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr class=\"title\"\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eProduct Overview\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eValue\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eModel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eDCTANK AW1\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eDimensions (l*w*h), \u003cstrong\u003emm\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e6058×2438×2896\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eServer capacity, \u003cstrong\u003eU\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e376 \u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eContainer certification\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eCCS\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eSafety certification\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eNFPA 79:2024\u003cbr\u003eUL 508A:2018 R7.22\u003cbr\u003eCSA C22.2 No. 301:23\u003cbr\u003eANSI\/ISO 12100:2012\u003cbr\u003eEN ISO 12100:2010\u003cbr\u003eEN 60204-1:2018\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eInput Voltage and Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e400V±5% 50\/60Hz\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal IT load,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eKW\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003e120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr class=\"title\"\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eDetailed Characteristics\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eValue\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eShipping weight, \u003cstrong\u003eT\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e4.6\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain Switch of Power Distribution Cabinets(A)\u003c\/td\u003e\n\u003ctd\u003e\n\u003cspan\u003e250\u003c\/span\u003e×\u003cspan\u003e2\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eRated current,\u003cstrong\u003e A\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e≤405\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumber of server cabinets \u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e8\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eSingle cabinet capacity,\u003cstrong\u003e U\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e47\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eSingle cabinet power density,\u003cstrong\u003e KW\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e15\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eInlet cable\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eThe incoming cable requires two three-phase, five-wire cables, each with the following requirements:\u003cbr\u003eL1 single core cable 350kcMil（185mm²）\u003cbr\u003eL2 single core cable  350kcMil（185mm²）\u003cbr\u003eL3 single core cable  350kcMil（185mm²）\u003cbr\u003eN Single-core cable  250kcMil（127mm²）\u003cbr\u003ePE single-core cable  250kcMil（127mm²）\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cstrong\u003e\u003cspan\u003eSpecification Details For Cooling Tower\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr class=\"title\"\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eProduct Overview\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eValue\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eDimensions (l*w*h), \u003cstrong\u003emm\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e6058×2438×2896\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePUE(Power usage effectiveness)@ 25℃ ambient temperature\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e1.11\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated Cooling Capacity,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003ekW\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003e120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eContainer certification\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eCCS\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eMotor Rated Voltage and Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eAV 400V±5%; 50\/60Hz\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr class=\"title\"\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eDetailed Characteristics\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eValue\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eShipping Weight, \u003cb\u003eT\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e5.8\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eOperating Weight, \u003cb\u003eT\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e7.8\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eSupply Air Temperature, \u003cstrong\u003e℃\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e25\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReturn Air Temperature ,\u003cstrong\u003e˚C\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e38\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eWater Consumption @ 25˚C, \u003cstrong\u003em\u003csup\u003e3\u003c\/sup\u003e\/h\u003c\/strong\u003e \u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e0.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan\u003eNoise Level @ 25˚C, 15m, \u003cstrong\u003edBA\u003c\/strong\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e75\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cspan\u003eOperating Temperature\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e,\u003cstrong\u003e˚C\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e-40~+45\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperation Humidity,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRH\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003e5%~95%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eOrdering and Project Support\u003c\/h2\u003e\u003cp\u003eThis is a commercial or infrastructure product. Contact Miners Market before ordering to confirm configuration, compatibility, lead time, freight, installation requirements and the final commercial quote. Taxes and delivery terms depend on the project and destination.\u003c\/p\u003e","brand":"MINERS MARKET","offers":[{"title":"Default Title","offer_id":51931559657764,"sku":null,"price":76899.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0852\/7331\/3572\/files\/35532c82-b090-459a-8d05-de3d52b8137f_540.png?v=1783443146"}],"url":"https:\/\/minersmarket.ca\/collections\/ai-computing.oembed","provider":"MINERS MARKET ","version":"1.0","type":"link"}