{"product_id":"k-node-h100-8x-sxm5-640gb","title":"Kentino AI Node H100 — 8× NVIDIA H100 SXM5, 640 GB HBM3","description":"\u003cdiv style=\"font-family: -apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif; line-height: 1.7; color: #1a1a1a;\"\u003e\n\u003c!-- IMAGE PLACEHOLDER 1: 8U node front, white background --\u003e \u003c!-- IMAGE PLACEHOLDER 2: HGX H100 baseboard, 8 SXM5 modules + NVSwitch --\u003e \u003c!-- IMAGE PLACEHOLDER 3: rear PSU bank and NIC slots --\u003e \u003c!-- IMAGE PLACEHOLDER 4: rack-installed --\u003e\n\u003cdiv style=\"background: linear-gradient(135deg,#0d0d0d 0%,#1a1a2e 100%); color: #fff; padding: 32px; border-radius: 12px; margin-bottom: 32px;\"\u003e\n\u003cp style=\"font-size: 18px; margin: 0 0 20px 0; color: #ccc;\"\u003eKentino AI Node H100\u003c\/p\u003e\n\u003cp style=\"font-size: 28px; font-weight: bold; margin: 0 0 16px 0; line-height: 1.3;\"\u003e640 GB HBM3, NVSwitch-Pooled\u003cbr\u003e8x H100 SXM5 | 15,832 INT8 TOPS\u003c\/p\u003e\n\u003cdiv style=\"display: flex; gap: 16px; flex-wrap: wrap; margin-top: 24px;\"\u003e\n\u003cdiv style=\"background: rgba(51,79,180,0.12); border: 1px solid #334fb4; border-radius: 8px; padding: 14px 16px; text-align: center; flex: 1; min-width: 110px;\"\u003e\n\u003cdiv style=\"font-size: 24px; font-weight: 800; color: #334fb4;\"\u003e640 GB\u003c\/div\u003e\n\u003cdiv style=\"font-size: 11px; color: #555; text-transform: uppercase; letter-spacing: 1px;\"\u003eHBM3 pool\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: rgba(51,79,180,0.12); border: 1px solid #334fb4; border-radius: 8px; padding: 14px 16px; text-align: center; flex: 1; min-width: 110px;\"\u003e\n\u003cdiv style=\"font-size: 24px; font-weight: 800; color: #334fb4;\"\u003e3.35 TB\/s\u003c\/div\u003e\n\u003cdiv style=\"font-size: 11px; color: #555; text-transform: uppercase; letter-spacing: 1px;\"\u003eper-GPU bandwidth\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: rgba(51,79,180,0.12); border: 1px solid #334fb4; border-radius: 8px; padding: 14px 16px; text-align: center; flex: 1; min-width: 110px;\"\u003e\n\u003cdiv style=\"font-size: 24px; font-weight: 800; color: #334fb4;\"\u003e900 GB\/s\u003c\/div\u003e\n\u003cdiv style=\"font-size: 11px; color: #555; text-transform: uppercase; letter-spacing: 1px;\"\u003eany-to-any NVLink\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background: rgba(51,79,180,0.12); border: 1px solid #334fb4; border-radius: 8px; padding: 14px 16px; text-align: center; flex: 1; min-width: 110px;\"\u003e\n\u003cdiv style=\"font-size: 24px; font-weight: 800; color: #334fb4;\"\u003efp8\u003c\/div\u003e\n\u003cdiv style=\"font-size: 11px; color: #555; text-transform: uppercase; letter-spacing: 1px;\"\u003enative\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp style=\"margin-top: 20px; font-size: 15px; color: #aaa;\"\u003eThe Hopper reference node - the best-understood 8-GPU platform in production.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp style=\"font-size: 17px; color: #333; margin-bottom: 24px;\"\u003eAn 8U node carrying eight NVIDIA H100 SXM5 80 GB modules on a single NVLink\/NVSwitch baseboard: 640 GB of HBM3 at 3.35 TB\/s per GPU, full any-to-any 900 GB\/s GPU-to-GPU bandwidth, dual Intel Xeon Gold 6538Y+, 2 TB DDR5 ECC RDIMM and U.2 NVMe storage. The H100 is the most widely benchmarked 8-GPU platform in existence, which matters more than it sounds: if you have an existing training recipe, a vendor SLA or a procurement process built around H100 numbers, this is the node that matches them without re-validation.\u003c\/p\u003e\n\u003ch2 style=\"font-size: 22px; font-weight: bold; margin: 40px 0 16px 0; padding-bottom: 8px; border-bottom: 3px solid #334fb4;\"\u003eHardware\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; margin-bottom: 24px; font-size: 15px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background: #0d0d0d; color: #fff;\"\u003e\n\u003cth style=\"padding: 12px 16px; text-align: left;\"\u003eComponent\u003c\/th\u003e\n\u003cth style=\"padding: 12px 16px; text-align: left;\"\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eGPUs\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e8x NVIDIA H100 SXM5 80 GB HBM3 (Hopper, 700 W per module)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eVRAM pool\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e640 GB HBM3, NVSwitch-pooled\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e3.35 TB\/s per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eGPU interconnect\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003eNVLink 4 via NVSwitch, 900 GB\/s any-to-any\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eCompute\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e7,912 TFLOPS bf16 dense | 15,832 TFLOPS fp8 dense | 15,832 INT8 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eCPUs\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e2x Intel Xeon Gold 6538Y+, 32C\/64T each (64C\/128T). Platinum 8558 (96C\/192T) available as an upgrade\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eSystem memory\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e2 TB DDR5 ECC RDIMM (16x 128 GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e2x 1.92 TB U.2 NVMe boot + 2x 3.84 TB U.2 NVMe data\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e2x NVIDIA ConnectX-7. Up to 8x on request\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eChassis\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e8U rack-mount, front-to-back airflow, 24\/7 rated\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003ePower\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e6x 3000 W (3+3) redundant Titanium\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"font-size: 22px; font-weight: bold; margin: 40px 0 16px 0; padding-bottom: 8px; border-bottom: 3px solid #334fb4;\"\u003eWhat it runs\u003c\/h2\u003e\n\u003cp\u003e640 GB covers the whole current open-weight landscape at fp8 or Q4. Estimates are for this 8-GPU configuration with tensor parallelism.\u003c\/p\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; margin-bottom: 24px; font-size: 15px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background: #0d0d0d; color: #fff;\"\u003e\n\u003cth style=\"padding: 12px 16px; text-align: left;\"\u003eComponent\u003c\/th\u003e\n\u003cth style=\"padding: 12px 16px; text-align: left;\"\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eLlama 3.3 70B \/ Qwen3-72B\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003efp8. ~90-130 tok\/s single stream, 5,000+ tok\/s batched\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eDeepSeek-V3.2 \/ R1 671B\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003eQ4 comfortably; fp8 needs weight streaming at this pool size\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eQwen3-235B-A22B MoE\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003efp8 native with context headroom\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eQwen3-Coder-480B-A35B\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003eQ4 agentic coding, full 8-GPU tensor parallel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background: #f8f8f8;\"\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eFull fine-tune 70B\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003e8-way tensor parallel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px 16px; font-weight: 600;\"\u003eMixed multi-tenant\u003c\/td\u003e\n\u003ctd style=\"padding: 10px 16px;\"\u003eseveral 70B-class models resident simultaneously\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"font-size: 14px; color: #666;\"\u003e\u003cem\u003eThroughput figures are estimates derived from published vendor specifications and community benchmarks for this GPU generation, not measurements taken on this exact configuration. We will give you measured numbers for your model and context length before you commit.\u003c\/em\u003e\u003c\/p\u003e\n\u003ch2 style=\"font-size: 22px; font-weight: bold; margin: 40px 0 16px 0; padding-bottom: 8px; border-bottom: 3px solid #334fb4;\"\u003ePower and cooling\u003c\/h2\u003e\n\u003cp\u003eRoughly 6.7 kW sustained - identical envelope to the H200 node. Dedicated 32 A three-phase feed per node, rack budget around one node per 10 kW, contained cold aisle below 24 C with genuine front-to-back airflow for 24\/7 operation.\u003c\/p\u003e\n\u003ch2 style=\"font-size: 22px; font-weight: bold; margin: 40px 0 16px 0; padding-bottom: 8px; border-bottom: 3px solid #334fb4;\"\u003eExport control - read this before ordering\u003c\/h2\u003e\n\u003cp\u003eThe H100 is an Advanced Computing Item (ECCN 3A090.a). Shipment requires a completed \u003cstrong\u003eKYC form\u003c\/strong\u003e and an \u003cstrong\u003eEnd User Certificate\u003c\/strong\u003e naming the end user, the installation address and the intended use.\u003c\/p\u003e\n\u003cp\u003eBudget several weeks for clearance on top of hardware lead time. If the end user cannot be named, this hardware cannot be supplied.\u003c\/p\u003e\n\u003ch2 style=\"font-size: 22px; font-weight: bold; margin: 40px 0 16px 0; padding-bottom: 8px; border-bottom: 3px solid #334fb4;\"\u003eWhat you get from Kentino\u003c\/h2\u003e\n\u003cp\u003eKentino supplies, configures and supports this node as a complete deployment: rack and power design against your site's actual feed, front-to-back airflow sizing for 24\/7 operation, OS and driver stack (Ubuntu with pinned NVIDIA driver, CUDA, container toolkit), the inference or training stack of your choice, burn-in with a written report, EU-based logistics and warranty.\u003c\/p\u003e\n\u003cp\u003eWe also handle the export paperwork with you rather than mailing you a form and hoping. That part takes longer than the hardware and is where most first-time buyers of this class of machine get stuck.\u003c\/p\u003e\n\u003cp style=\"font-size: 14px; color: #666;\"\u003e\u003cem\u003ePrice shown is EUR excluding VAT, \u003cstrong\u003eEXW Prague\u003c\/strong\u003e (Incoterms 2020). Collection, freight, insurance and any destination import duties are for the buyer’s account. Lead time on request.\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eBefore you order this, ask us to quote the H200 node alongside it - at current channel pricing the 8x H200 baseboard often lands at or below the H100 board while carrying 1,128 GB instead of 640 GB. We would rather tell you that up front than sell you the wrong node.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Kentino","offers":[{"title":"Default Title","offer_id":54408374321480,"sku":null,"price":542792.0,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/kentino.com\/el\/products\/k-node-h100-8x-sxm5-640gb","provider":"Kentino","version":"1.0","type":"link"}