{"product_id":"nvidia-rtx-pro-6000-blackwell-workstation-edition-96-gb-gddr7-ecc","title":"NVIDIA RTX PRO 6000 Blackwell Workstation Edition 96 GB GDDR7 ECC","description":"\u003cstyle\u003e\n.rtx{--bl:#334fb4;--dk:#26408f;--ink:#17171a;--soft:#f3f7fd;--muted:#6c6660;--line:#dce6f5;font-family:-apple-system,BlinkMacSystemFont,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif;color:var(--ink);line-height:1.6;font-size:15px;}\n.rtx *{box-sizing:border-box;}\n.rtx-head{background:var(--ink);color:#fff;border-radius:14px;padding:30px 28px;position:relative;overflow:hidden;}\n.rtx-head:before{content:\"\";position:absolute;inset:0;background:radial-gradient(120% 100% at 100% 0,rgba(51,79,180,.32),transparent 55%);}\n.rtx-head\u003e*{position:relative;}\n.rtx-head h2{font-size:clamp(22px,3.2vw,30px);font-weight:800;margin:0 0 10px;color:#fff !important;}\n.rtx-head p{color:#d7d2cb;max-width:64ch;margin:0;}\n.rtx-badge{display:inline-block;background:var(--bl);color:#fff !important;font-size:12px;font-weight:700;letter-spacing:.08em;text-transform:uppercase;padding:5px 11px;border-radius:999px;margin-bottom:14px;}\n.rtx-hi{display:grid;grid-template-columns:repeat(4,1fr);gap:1px;background:var(--line);border:1px solid var(--line);border-radius:12px;overflow:hidden;margin:18px 0 6px;}\n.rtx-hi div{background:#fff;padding:18px 12px;text-align:center;}\n.rtx-hi .v{font-size:20px;font-weight:800;}\n.rtx-hi .v small{color:var(--bl);font-size:12px;}\n.rtx-hi .k{font-size:11.5px;color:var(--muted);margin-top:4px;}\n.rtx-sec{padding:24px 0 4px;}\n.rtx-ey{font-size:12px;font-weight:700;letter-spacing:.16em;text-transform:uppercase;color:var(--dk);}\n.rtx h2.t{font-size:clamp(19px,2.4vw,24px);font-weight:800;margin:6px 0 12px;}\n.rtx p.lead{font-size:16px;color:#3a3a36;}\n.rtx table{width:100%;border-collapse:collapse;font-size:14px;margin:6px 0;}\n.rtx table.spec td{padding:9px 12px;border-bottom:1px solid var(--line);}\n.rtx table.spec tr:nth-child(odd) td{background:#f6f9fc;}\n.rtx table.spec td:first-child{width:42%;color:var(--muted);font-weight:600;}\n.rtx ul.tick{list-style:none;margin:6px 0;padding:0;}\n.rtx ul.tick li{position:relative;padding:7px 0 7px 26px;border-bottom:1px solid var(--line);font-size:14.5px;}\n.rtx ul.tick li:last-child{border-bottom:none;}\n.rtx ul.tick li:before{content:\"\";position:absolute;left:4px;top:14px;width:9px;height:9px;border-radius:2px;background:var(--bl);}\n.rtx-note{background:var(--soft);border-left:3px solid var(--bl);padding:13px 16px;border-radius:0 8px 8px 0;font-size:13.5px;color:#4a4641;margin-top:14px;}\n.rtx-faq details{border-bottom:1px solid var(--line);padding:14px 0;}\n.rtx-faq summary{font-weight:700;cursor:pointer;list-style:none;display:flex;justify-content:space-between;font-size:15px;}\n.rtx-faq summary:after{content:\"+\";color:var(--bl);font-weight:700;}\n.rtx-faq details[open] summary:after{content:\"–\";}\n.rtx-faq p{margin:9px 0 0;color:var(--muted);font-size:14px;}\n@media(max-width:760px){.rtx-hi{grid-template-columns:repeat(2,1fr);}}\n\u003c\/style\u003e\n\u003cdiv class=\"rtx\"\u003e\n\u003cdiv class=\"rtx-head\"\u003e\n\u003cspan class=\"rtx-badge\"\u003eBlackwell · 96 GB ECC · 600 W\u003c\/span\u003e\n\u003ch2\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition — 96 GB\u003c\/h2\u003e\n\u003cp\u003eThe full-power Blackwell professional card: 96 GB of unified ECC GDDR7 and 24,064 CUDA cores at a 600 W board limit. The fastest single-GPU option we ship for local model training, fine-tuning and heavy inference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rtx-hi\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"v\"\u003e96 \u003csmall\u003eGB\u003c\/small\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"k\"\u003eGDDR7 ECC VRAM\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"v\"\u003e24,064\u003c\/div\u003e\n\u003cdiv class=\"k\"\u003eCUDA cores\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"v\"\u003e~1.8 \u003csmall\u003eTB\/s\u003c\/small\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"k\"\u003eMemory bandwidth\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"v\"\u003e600 \u003csmall\u003eW\u003c\/small\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"k\"\u003eBoard power\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rtx-sec\"\u003e\n\u003cdiv class=\"rtx-ey\"\u003eOverview\u003c\/div\u003e\n\u003ch2 class=\"t\"\u003eMaximum single-GPU throughput\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eThis is the unrestricted version of the card: the same 96 GB unified ECC memory pool as the Max-Q, with the power ceiling lifted to 600 W so the GPU can hold high clocks under sustained load. On compute-bound work — fine-tuning, long training runs, batched inference, heavy rendering and simulation — that headroom is where the extra performance comes from. A single card holds a 70B-class model at 4-bit with room to spare for long context, so there is no tensor-parallel split to manage.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rtx-sec\"\u003e\n\u003cdiv class=\"rtx-ey\"\u003eSpecifications\u003c\/div\u003e\n\u003ch2 class=\"t\"\u003eTechnical data\u003c\/h2\u003e\n\u003ctable class=\"spec\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GB202 — Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart number\u003c\/td\u003e\n\u003ctd\u003e900-5G144\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e96 GB GDDR7 ECC, 512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd\u003e~1.8 TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA cores\u003c\/td\u003e\n\u003ctd\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor cores\u003c\/td\u003e\n\u003ctd\u003e752 (5th gen) · ~2,000 TOPS INT8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRT cores\u003c\/td\u003e\n\u003ctd\u003e188 (4th gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003ePCIe 5.0 ×16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoard power\u003c\/td\u003e\n\u003ctd\u003e600 W (16-pin 12V-2×6)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eActive flow-through, dual-slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay outputs\u003c\/td\u003e\n\u003ctd\u003e4× DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e3-year manufacturer warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rtx-sec\"\u003e\n\u003cdiv class=\"rtx-ey\"\u003eBest for\u003c\/div\u003e\n\u003ch2 class=\"t\"\u003eWhere it fits\u003c\/h2\u003e\n\u003cul class=\"tick\"\u003e\n\u003cli\u003eLocal fine-tuning and training where sustained compute, not just VRAM capacity, sets the pace.\u003c\/li\u003e\n\u003cli\u003eSingle-card 70B inference with long context held entirely in one memory pool.\u003c\/li\u003e\n\u003cli\u003eBatched or multi-user inference serving where throughput per card matters.\u003c\/li\u003e\n\u003cli\u003eProfessional visualisation, rendering and simulation alongside AI work.\u003c\/li\u003e\n\u003cli\u003eWorkstations where one full-power card is preferable to several smaller GPUs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"rtx-note\"\u003ePlan the power and cooling before you buy: at 600 W this card needs a quality PSU with real headroom and a chassis that can actually move the heat. We size PSU and airflow as part of any build we supply.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rtx-sec\"\u003e\n\u003cdiv class=\"rtx-ey\"\u003eQuestions\u003c\/div\u003e\n\u003ch2 class=\"t\"\u003eFAQ\u003c\/h2\u003e\n\u003cdiv class=\"rtx-faq\"\u003e\n\u003cdetails open\u003e\u003csummary\u003eShould I take this or the Max-Q?\u003c\/summary\u003e\u003cp\u003eBoth hold the same 96 GB, so both run the same models. Choose this one if your work is compute-bound and you can supply 600 W of power and cooling. Choose the Max-Q if power, heat or noise is the binding constraint — it costs less and draws half the power for the same VRAM capacity.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat PSU do I need?\u003c\/summary\u003e\u003cp\u003eFor a single card, plan on a 1,200 W or larger quality ATX 3.0 unit with a native 16-pin 12V-2×6 connector, and more if you are pairing it with a high-core-count CPU. We specify this properly for machines we build.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I run more than one?\u003c\/summary\u003e\u003cp\u003eYes, but 600 W per card adds up fast — multi-card configurations need deliberate power and airflow design, and in most chassis the Max-Q is the better multi-GPU choice. Talk to us before committing to a multi-card layout.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eIs this the same as the Server Edition?\u003c\/summary\u003e\u003cp\u003eNo. The Server Edition is passively cooled for front-to-back rack airflow and has no display outputs. This card is actively cooled with four DisplayPort outputs, intended for workstations and tower builds.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat is the lead time?\u003c\/summary\u003e\u003cp\u003eTypically 10–21 days, sourced to order. Availability moves quickly on this part — ask us to confirm before planning around a date.\u003c\/p\u003e\u003c\/details\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rtx-note\"\u003eWant this card in a finished machine? Kentino builds, benchmarks and commissions complete RTX PRO 6000 AI servers and workstations — ask us for a configured build.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":53617381769544,"sku":null,"price":14507.94,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/kentino.com\/el\/products\/nvidia-rtx-pro-6000-blackwell-workstation-edition-96-gb-gddr7-ecc","provider":"Kentino","version":"1.0","type":"link"}