{"product_id":"k-ai-576-genoa-rtxpro6000-12000tops-6-rtx-pro-6000-blackwell-server-edition-ai-frontier-server","title":"K-AI 576 Genoa RTXPro6000 12000TOPS — 6× RTX Pro 6000 Blackwell Server Edition AI Frontier Server","description":"\u003cdiv style=\"font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;line-height:1.7;color:#1a1a1a\"\u003e\n\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\"\u003eK-AI 576 Genoa RTXPro6000 12000TOPS\u003c\/p\u003e\n\u003cp style=\"font-size:28px;font-weight:700;margin:0 0 16px 0;line-height:1.3\"\u003e576 GB ECC VRAM Frontier Research Server\u003cbr\u003e6x RTX Pro 6000 Server Edition | EPYC Genoa | 12 000 TOPS INT8\u003c\/p\u003e\n\u003cdiv style=\"display:flex;gap:16px;flex-wrap:wrap;margin-top:24px\"\u003e\n\u003cdiv style=\"background:rgba(250,180,0,0.15);border:1px solid #fab400;border-radius:8px;padding:14px 16px;text-align:center;flex:1;min-width:100px\"\u003e\n\u003cdiv style=\"font-size:26px;font-weight:800;color:#fab400\"\u003e12 000\u003c\/div\u003e\n\u003cdiv style=\"font-size:11px;color:#ccc;text-transform:uppercase;letter-spacing:1px\"\u003eTOPS INT8\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background:rgba(250,180,0,0.15);border:1px solid #fab400;border-radius:8px;padding:14px 16px;text-align:center;flex:1;min-width:100px\"\u003e\n\u003cdiv style=\"font-size:26px;font-weight:800;color:#fab400\"\u003e576 GB\u003c\/div\u003e\n\u003cdiv style=\"font-size:11px;color:#ccc;text-transform:uppercase;letter-spacing:1px\"\u003eECC VRAM pool\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background:rgba(250,180,0,0.15);border:1px solid #fab400;border-radius:8px;padding:14px 16px;text-align:center;flex:1;min-width:100px\"\u003e\n\u003cdiv style=\"font-size:26px;font-weight:800;color:#fab400\"\u003eBCM\u003c\/div\u003e\n\u003cdiv style=\"font-size:11px;color:#ccc;text-transform:uppercase;letter-spacing:1px\"\u003ePCIe Gen5 switch\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background:rgba(250,180,0,0.15);border:1px solid #fab400;border-radius:8px;padding:14px 16px;text-align:center;flex:1;min-width:100px\"\u003e\n\u003cdiv style=\"font-size:26px;font-weight:800;color:#fab400\"\u003eFrontier\u003c\/div\u003e\n\u003cdiv style=\"font-size:11px;color:#ccc;text-transform:uppercase;letter-spacing:1px\"\u003eon-prem research\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp style=\"margin-top:20px;font-size:15px;color:#aaa\"\u003ePublished external references. Not measured on Kentino hardware.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cp style=\"font-size:17px;color:#333;margin-bottom:24px\"\u003eA 7U rack-mount frontier-tier inference platform with six NVIDIA RTX Pro 6000 Blackwell Server Edition passive cards pooled to 576 GB ECC VRAM, one AMD EPYC 9354 Genoa CPU (32C\/64T), 768 GB DDR5-4800 ECC (all 12 channels populated), 4 TB NVMe boot, and 5x 1200 W server PSU. On-board Broadcom PCIe Gen5 switch fans out uniformly to all 6 GPU slots. DeepSeek V3 Q4 (~404 GB) comfortable with long context, Kimi-K2 Q2, Mistral Large 3 Q2-Q3 — the full frontier on-prem.\u003c\/p\u003e\n\n\u003ch2 style=\"font-size:22px;font-weight:700;margin:40px 0 16px 0;padding-bottom:8px;border-bottom:3px solid #2563eb\"\u003eHardware\u003c\/h2\u003e\n\n\u003ctable style=\"width:100%;border-collapse:collapse;margin-bottom:24px;font-size:15px\"\u003e\n\u003cthead\u003e\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\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\"\u003e6x NVIDIA RTX Pro 6000 Blackwell Server Edition 96 GB ECC (passive, 600 W, PCIe 5.0 x16, 2000 INT8 TOPS per card)\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\"\u003e576 GB total across 6 cards (no NVLink — P2P over PCIe Gen5 at ~55-60 GB\/s per direction)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background:#f8f8f8\"\u003e\n\u003ctd style=\"padding:10px 16px;font-weight:600\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"padding:10px 16px\"\u003eAMD EPYC 9354 Genoa (32C\/64T, 280 W, 128x PCIe 5.0 lanes, 12-channel DDR5)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:10px 16px;font-weight:600\"\u003eMotherboard\u003c\/td\u003e\n\u003ctd style=\"padding:10px 16px\"\u003eASRock Rack GENOAD8X-2T\/BCM (SP5 Genoa, integrated Broadcom PEX PCIe Gen5 switch, 12x DDR5, 2x 10 GbE, IPMI)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background:#f8f8f8\"\u003e\n\u003ctd style=\"padding:10px 16px;font-weight:600\"\u003eSystem RAM\u003c\/td\u003e\n\u003ctd style=\"padding:10px 16px\"\u003e768 GB DDR5-4800 ECC RDIMM (12x 64 GB — all channels populated, ~460 GB\/s aggregate)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:10px 16px;font-weight:600\"\u003eBoot \/ storage\u003c\/td\u003e\n\u003ctd style=\"padding:10px 16px\"\u003e4 TB NVMe M.2 (PCIe 4.0 x4) — sized for frontier checkpoint staging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background:#f8f8f8\"\u003e\n\u003ctd style=\"padding:10px 16px;font-weight:600\"\u003ePower supply\u003c\/td\u003e\n\u003ctd style=\"padding:10px 16px\"\u003e5x 1200 W server PSU set (HP-compatible, 6 kW total)\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\"\u003e7U 8-GPU rack-mount, 10 PCIe slot capacity, active Gen5 risers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background:#f8f8f8\"\u003e\n\u003ctd style=\"padding:10px 16px;font-weight:600\"\u003eCooling\u003c\/td\u003e\n\u003ctd style=\"padding:10px 16px\"\u003eSP5 Genoa tower cooler, 8x 120 mm chassis fans, front-to-back datacenter airflow required. Passive GPU cards.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:10px 16px;font-weight:600\"\u003eNetwork\u003c\/td\u003e\n\u003ctd style=\"padding:10px 16px\"\u003eOnboard dual 10 GbE (Intel X550)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cdiv style=\"display:flex;gap:16px;flex-wrap:wrap;margin-bottom:32px\"\u003e\n\u003cdiv style=\"flex:1;min-width:250px;background:#f4f4f4;border-radius:8px;padding:20px\"\u003e\n\u003ch3 style=\"font-size:16px;font-weight:700;margin:0 0 12px 0\"\u003ePower envelope\u003c\/h3\u003e\n\u003cul style=\"margin:0;padding-left:18px;font-size:14px;color:#444\"\u003e\n\u003cli\u003eGPU draw: 6 x 600 W = 3 600 W\u003c\/li\u003e\n\u003cli\u003eSystem total at full load: ~4 080 W\u003c\/li\u003e\n\u003cli\u003ePSU total: 6 000 W (5x 1200 W) — 32% headroom\u003c\/li\u003e\n\u003cli\u003eNo power-cap required for steady-state inference\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex:1;min-width:250px;background:#f4f4f4;border-radius:8px;padding:20px\"\u003e\n\u003ch3 style=\"font-size:16px;font-weight:700;margin:0 0 12px 0\"\u003eLane topology\u003c\/h3\u003e\n\u003cp style=\"margin:0;font-size:14px;color:#444\"\u003eGENOAD8X-2T\/BCM integrates a Broadcom PEX PCIe Gen5 switch on-board. 128 Gen5 lanes from the EPYC Genoa root upstream the switch, which fans out uniformly to all 6 GPU slots at Gen5 x16 end-to-end via active risers. Clean single-root topology — simpler NUMA tuning than dual-socket. No NVLink; P2P at ~55-60 GB\/s per direction.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch2 style=\"font-size:22px;font-weight:700;margin:40px 0 16px 0;padding-bottom:8px;border-bottom:3px solid #2563eb\"\u003eWhat you can run\u003c\/h2\u003e\n\n\u003cdiv style=\"background:#fefaf0;border-left:4px solid #fab400;padding:16px 20px;margin-bottom:24px;border-radius:0 8px 8px 0\"\u003e\n\u003cp style=\"margin:0;font-size:15px;color:#333\"\u003eWith 576 GB of pooled ECC VRAM on Blackwell fp8 native silicon, this server runs the full Chinese + Western open-weight frontier at research-grade quants: DeepSeek V3 Q4 (~404 GB) with long context, Kimi-K2 Q2, Mistral Large 3 Q2-Q3, GLM-5 Q2, Qwen3-Coder-480B Q4.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003ch3 style=\"font-size:18px;font-weight:700;margin:28px 0 12px 0;color:#0d0d0d\"\u003eLLMs — text \/ reasoning \/ coding\u003c\/h3\u003e\n\n\u003cp style=\"font-size:14px;font-weight:700;color:#fab400;text-transform:uppercase;letter-spacing:1px;margin-bottom:8px\"\u003eChinese frontier\u003c\/p\u003e\n\u003cul style=\"font-size:15px;color:#333;line-height:1.8\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeepSeek V3 \/ R1 \/ V3.1 \/ V3.2\u003c\/strong\u003e at Q4_K_M (~404 GB) comfortable with long context (~5-8 tok\/s single vLLM TP-6, published reference); fp8 native (~670 GB) with RAM spill\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKimi-K2\u003c\/strong\u003e (Base \/ Instruct \/ Thinking) at Q2_K (~375 GB) comfortable (~5-8 tok\/s single, published reference)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGLM-5 \/ GLM-5.1\u003c\/strong\u003e (~745B\/44B) at Q2_K (~260 GB) comfortable; Q3 (~420 GB) with RAM spill\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eQwen3-Coder-480B-A35B\u003c\/strong\u003e at Q4_K_M (~270 GB) with long context\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eQwen3-235B-A22B\u003c\/strong\u003e at bf16 (~470 GB) or fp8 (~240 GB)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eERNIE-4.5-424B-A47B\u003c\/strong\u003e at Q4 (~240 GB) with full 128k ctx\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntern-S1-Pro\u003c\/strong\u003e (1T\/22B active, SAGE) at Q2_K (~325 GB) comfortable\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHunyuan-Large\u003c\/strong\u003e A52B at Q4 (~220 GB); \u003cstrong\u003eMiniMax-M1\u003c\/strong\u003e at Q4 (~260 GB)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp style=\"font-size:14px;font-weight:700;color:#fab400;text-transform:uppercase;letter-spacing:1px;margin:20px 0 8px 0\"\u003eWestern frontier\u003c\/p\u003e\n\u003cul style=\"font-size:15px;color:#333;line-height:1.8\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eMistral Large 3\u003c\/strong\u003e (675B\/41B MoE, Apache 2.0) at Q2-Q3 (~243-317 GB) comfortable (~20-30 tok\/s single, published reference)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLlama 4 Maverick\u003c\/strong\u003e (400B\/17B) at Q4_K_M (~232 GB) with long ctx (~45-55 tok\/s single, published reference)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLlama-3.1-Nemotron Ultra 253B\u003c\/strong\u003e at fp8 (~253 GB) or bf16 with RAM spill\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGrok-1\u003c\/strong\u003e 314B at Q4 (~182 GB); \u003cstrong\u003eSnowflake Arctic\u003c\/strong\u003e at Q4 (~278 GB)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDBRX Instruct\u003c\/strong\u003e 132B\/36B at bf16 (~264 GB) or fp8 multi-instance\u003c\/li\u003e\n\u003cli\u003eAll 70-120B class models at bf16 with room to spare\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3 style=\"font-size:18px;font-weight:700;margin:28px 0 12px 0;color:#0d0d0d\"\u003eVision-Language Models\u003c\/h3\u003e\n\u003cp style=\"font-size:15px;color:#333\"\u003eQwen3-VL-235B-A22B flagship VLM; InternVL3.5-241B-A28B Q4 (~135 GB); GLM-4.5V \/ 4.6V 106B bf16 (~210 GB); Llama 3.2 90B Vision bf16; Pixtral Large 124B fp8; Molmo 72B bf16.\u003c\/p\u003e\n\n\u003ch3 style=\"font-size:18px;font-weight:700;margin:28px 0 12px 0;color:#0d0d0d\"\u003eImage generation\u003c\/h3\u003e\n\u003cp style=\"font-size:15px;color:#333\"\u003eHunyuanImage-3.0 Instruct tier (3x 80 GB) — fits with headroom; FLUX.1 [dev] \/ [schnell] \/ Kontext multi-instance (~15-20 s per 1024x1024 image on single RTX Pro 6000 fp8, published reference); SD 3.5 Large; SDXL; AuraFlow; OmniGen; HunyuanImage-2.1; Kolors 2.0.\u003c\/p\u003e\n\n\u003ch3 style=\"font-size:18px;font-weight:700;margin:28px 0 12px 0;color:#0d0d0d\"\u003eVideo generation\u003c\/h3\u003e\n\u003cp style=\"font-size:15px;color:#333\"\u003eWan 2.2 T2V-A14B \/ I2V-A14B dual-expert MoE bf16 (~54 GB); HunyuanVideo 13B bf16 comfortable; Open-Sora 2.0 (11B) bf16; Mochi-1 (10B) fp16; NVIDIA Cosmos Predict 2 up to 14B; CogVideoX-5B; LTX-Video; Pyramid Flow.\u003c\/p\u003e\n\n\u003ch3 style=\"font-size:18px;font-weight:700;margin:28px 0 12px 0;color:#0d0d0d\"\u003eAudio \/ Speech \/ TTS\u003c\/h3\u003e\n\u003cp style=\"font-size:15px;color:#333\"\u003eFull stack resident concurrently: Whisper v3 large, Parakeet-TDT 1.1B, Canary 1B, Moshi 7B realtime, Qwen3-Omni, Step-Audio R1, CosyVoice 3.0, Kokoro, Stable Audio Open.\u003c\/p\u003e\n\n\u003ch3 style=\"font-size:18px;font-weight:700;margin:28px 0 12px 0;color:#0d0d0d\"\u003eMulti-model \/ multi-tenant serving\u003c\/h3\u003e\n\u003cul style=\"font-size:15px;color:#333;line-height:1.8\"\u003e\n\u003cli\u003eDeepSeek V3 Q4 inference + FLUX image + HunyuanVideo + Whisper\/Moshi realtime voice all resident simultaneously\u003c\/li\u003e\n\u003cli\u003eConcurrent 70B tensor-parallel + 235B-MoE on separate PCIe domains via the Broadcom switch\u003c\/li\u003e\n\u003cli\u003eResearch A\/B evaluation: 3 frontier open-weight models resident concurrently\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 style=\"font-size:22px;font-weight:700;margin:40px 0 16px 0;padding-bottom:8px;border-bottom:3px solid #2563eb\"\u003eTarget workloads\u003c\/h2\u003e\n\u003cul style=\"font-size:15px;color:#333;line-height:1.8\"\u003e\n\u003cli\u003eFrontier open-weight research lab — on-prem access to DeepSeek V3 \/ Kimi-K2 \/ Mistral Large 3 class without cloud egress\u003c\/li\u003e\n\u003cli\u003eSovereign AI deployment — EU data residency with an Apache 2.0 \/ MIT model stack\u003c\/li\u003e\n\u003cli\u003eEnterprise multi-model RAG + agentic platform — several 200-400B MoE models resident\u003c\/li\u003e\n\u003cli\u003eModel evaluation \/ safety research comparing frontier Chinese vs Western open weights\u003c\/li\u003e\n\u003cli\u003eInference-at-scale for regulated industries requiring air-gap + ECC + PCIe Gen5\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 style=\"font-size:22px;font-weight:700;margin:40px 0 16px 0;padding-bottom:8px;border-bottom:3px solid #2563eb\"\u003ePublished performance references\u003c\/h2\u003e\n\n\u003cdiv style=\"background:#0d0d0d;color:#fff;border-radius:12px;padding:24px;margin-bottom:24px\"\u003e\n\u003cp style=\"margin:0 0 4px 0;font-size:13px;color:#888;text-transform:uppercase;letter-spacing:1px\"\u003eExternal references | Not measured on Kentino hardware\u003c\/p\u003e\n\u003ctable style=\"width:100%;border-collapse:collapse;margin-top:16px;font-size:14px\"\u003e\n\u003cthead\u003e\u003ctr style=\"border-bottom:1px solid #333\"\u003e\n\u003cth style=\"padding:8px 12px;text-align:left;color:#888;font-weight:600\"\u003eBenchmark\u003c\/th\u003e\n\u003cth style=\"padding:8px 12px;text-align:left;color:#888;font-weight:600\"\u003eResult\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"border-bottom:1px solid #222\"\u003e\n\u003ctd style=\"padding:10px 12px;color:#ccc\"\u003eRTX Pro 6000 per-card INT8 TOPS\u003c\/td\u003e\n\u003ctd style=\"padding:10px 12px;color:#fab400;font-weight:700\"\u003e2 000 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom:1px solid #222\"\u003e\n\u003ctd style=\"padding:10px 12px;color:#ccc\"\u003evLLM — DeepSeek V3 Q4 on 6x RTX Pro 6000 (single)\u003c\/td\u003e\n\u003ctd style=\"padding:10px 12px;color:#fff\"\u003e~25-40 tok\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"border-bottom:1px solid #222\"\u003e\n\u003ctd style=\"padding:10px 12px;color:#ccc\"\u003evLLM — DeepSeek V3 Q4 on 6x RTX Pro 6000 (batch-32)\u003c\/td\u003e\n\u003ctd style=\"padding:10px 12px;color:#fab400;font-weight:700\"\u003e200-400 tok\/s aggregate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding:10px 12px;color:#ccc\"\u003eFLUX.1 [dev] fp8 on single RTX Pro 6000\u003c\/td\u003e\n\u003ctd style=\"padding:10px 12px;color:#fff\"\u003e~15-20 s per 1024x1024 image\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"margin:12px 0 0 0;font-size:13px;color:#666\"\u003eExact figures confirmed at PoC stage. Kentino will publish first-party numbers after initial customer build.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003ch2 style=\"font-size:22px;font-weight:700;margin:40px 0 16px 0;padding-bottom:8px;border-bottom:3px solid #2563eb\"\u003eNot ideal for\u003c\/h2\u003e\n\u003cul style=\"font-size:15px;color:#333;line-height:1.8\"\u003e\n\u003cli\u003eKimi-K2 \/ DeepSeek V3 at Q4 real-speed production serving — step up to the 768 GB Turin dual\u003c\/li\u003e\n\u003cli\u003eTraining from scratch on frontier-class models — no NVLink, PCIe P2P only\u003c\/li\u003e\n\u003cli\u003ePlug-and-play deployment — frontier MoE serving needs a skilled MLOps team\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 style=\"font-size:22px;font-weight:700;margin:40px 0 16px 0;padding-bottom:8px;border-bottom:3px solid #2563eb\"\u003eWarranty and lead time\u003c\/h2\u003e\n\u003cdiv style=\"display:flex;gap:16px;flex-wrap:wrap;margin-bottom:24px\"\u003e\n\u003cdiv style=\"flex:1;min-width:150px;background:#f4f4f4;border-radius:8px;padding:20px;text-align:center\"\u003e\n\u003cdiv style=\"font-size:24px;font-weight:800;color:#0d0d0d\"\u003e2 years\u003c\/div\u003e\n\u003cdiv style=\"font-size:13px;color:#666;text-transform:uppercase;letter-spacing:1px\"\u003eparts warranty\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex:1;min-width:150px;background:#f4f4f4;border-radius:8px;padding:20px;text-align:center\"\u003e\n\u003cdiv style=\"font-size:24px;font-weight:800;color:#0d0d0d\"\u003e1 year\u003c\/div\u003e\n\u003cdiv style=\"font-size:13px;color:#666;text-transform:uppercase;letter-spacing:1px\"\u003elabor warranty\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex:1;min-width:150px;background:#f4f4f4;border-radius:8px;padding:20px;text-align:center\"\u003e\n\u003cdiv style=\"font-size:24px;font-weight:800;color:#0d0d0d\"\u003e10-28 days\u003c\/div\u003e\n\u003cdiv style=\"font-size:13px;color:#666;text-transform:uppercase;letter-spacing:1px\"\u003elead time\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp style=\"font-size:14px;color:#666\"\u003eBuild includes assembly, BIOS config, driver install, burn-in, memtest, functional verification, and LLM environment setup (vLLM \/ SGLang \/ llama.cpp \/ CUDA 13 stack with fp8 Blackwell kernels). Lead time depends on component availability, confirmed at order.\u003c\/p\u003e\n\n\u003ch2 style=\"font-size:22px;font-weight:700;margin:40px 0 16px 0;padding-bottom:8px;border-bottom:3px solid #2563eb\"\u003eRecommended add-ons\u003c\/h2\u003e\n\u003cul style=\"font-size:15px;color:#333;line-height:1.8\"\u003e\n\u003cli\u003eNVIDIA ConnectX-5 MCX555A-ECAT 100 GbE NIC for multi-node scale-out\u003c\/li\u003e\n\u003cli\u003eSecond 4 TB NVMe for dataset \/ model library\u003c\/li\u003e\n\u003cli\u003eFull 24U rack cabinet with front perforated door\u003c\/li\u003e\n\u003cli\u003eOnline UPS 10 kVA\u003c\/li\u003e\n\u003cli\u003eManaged PDU\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003c\/div\u003e\n","brand":"Kentino s.r.o.","offers":[{"title":"Default Title","offer_id":52940370116936,"sku":null,"price":106069.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0843\/5479\/3800\/files\/kentino-ai-server-4-gpu-topdown_6b2c51b2-25c1-479d-929a-29eebe60e5ef.jpg?v=1776940959","url":"https:\/\/kentino.com\/zh\/products\/k-ai-576-genoa-rtxpro6000-12000tops-6-rtx-pro-6000-blackwell-server-edition-ai-frontier-server","provider":"Kentino","version":"1.0","type":"link"}