{"product_id":"nvidia-rtx-pro-6000-blackwell-max-q-workstation-edition-96gb-retail","title":"NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 96GB - Retail","description":"\u003caside class=\"phd-note\" id=\"purchase-quantity\"\u003e\u003ch3\u003eOrdering more than one card?\u003c\/h3\u003e\n\u003cp\u003eOne RTX PRO 6000 Max-Q GPU per customer across all orders, including both OEM and Retail listings. Need more than one? \u003ca href=\"https:\/\/www.perceptasolutions.com\/hardware-compute?topic=hardware\u0026amp;product_title=NVIDIA+RTX+PRO+6000+Blackwell+Max-Q+Workstation+Edition+96GB+-+Retail\u0026amp;product_sku=900-5G153-2500-000\u0026amp;product_handle=nvidia-rtx-pro-6000-blackwell-max-q-workstation-edition-96gb-retail#contact\"\u003eContact us to discuss a multi-card order ↗\u003c\/a\u003e\u003c\/p\u003e\u003c\/aside\u003e\u003csection class=\"phd-intro\"\u003e\u003cdiv\u003e\n\u003cp class=\"phd-eyebrow\"\u003eMax-Q Workstation Edition \/ Retail\u003c\/p\u003e\n\u003ch2\u003eLocal AI and graphics in a 300 W design.\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp\u003eThe RTX PRO 6000 Max-Q Workstation Edition brings 96 GB of ECC GDDR7 memory to local LLM inference and development, GPU data science and 3D production. Its 300 W active blower design prioritises power and space efficiency for workstations built around one or several GPUs.\u003c\/p\u003e\u003c\/section\u003e\u003cdiv class=\"phd-metrics\"\u003e\n\u003cdiv\u003e\n\u003cstrong\u003e96 GB\u003c\/strong\u003e \u003cspan\u003eGDDR7 memory with ECC\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003e1,792 GB\/s\u003c\/strong\u003e \u003cspan\u003eMemory bandwidth\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003e300 W\u003c\/strong\u003e \u003cspan\u003eTotal board power\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003ePCIe 5.0\u003c\/strong\u003e \u003cspan\u003ex16 host interface\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cdiv class=\"phd-features\"\u003e\n\u003carticle\u003e\u003ch3\u003eAI models and data science\u003c\/h3\u003e\n\u003cp\u003eEach GPU provides memory for model weights, analysis datasets and detailed scenes. Fifth-generation Tensor cores support FP4 inference in compatible LLM software; CUDA-X data science libraries enable GPU-accelerated data exploration and model evaluation. Capacity remains 96 GB per card, with workload size depending on precision and working memory.\u003c\/p\u003e\u003c\/article\u003e\u003carticle\u003e\u003ch3\u003eBlower-cooled form factor\u003c\/h3\u003e\n\u003cp\u003eThe full-height, dual-slot card is 10.5 inches long, compared with the extended-height, 12-inch, 600 W Workstation Edition. Its 300 W blower-cooled design targets denser multi-GPU workstations, where separate cards can run independent AI experiments or render jobs. Check slot spacing, airflow and total system power with your system manufacturer.\u003c\/p\u003e\u003c\/article\u003e\u003carticle\u003e\u003ch3\u003eRendering, video and display\u003c\/h3\u003e\n\u003cp\u003eFourth-generation RT cores support ray-traced lighting for architectural visualisation and product design reviews. Ninth-generation NVENC and sixth-generation NVDEC handle video encoding and decoding, including 4:2:2 H.264\/HEVC for editing and AV1 for streaming in compatible software. Four DisplayPort outputs connect monitors for 3D and video work.\u003c\/p\u003e\u003c\/article\u003e\n\u003c\/div\u003e\u003caside class=\"phd-note\"\u003e\u003ch3\u003ePlan power, cooling and multi-GPU use.\u003c\/h3\u003e\n\u003cp\u003eMax-Q has different peak performance from the 600 W Workstation Edition. Each card retains its own memory in a multi-GPU system, so applications must support distributing work across cards. NVLink bridging is not supported.\u003c\/p\u003e\u003c\/aside\u003e\u003csection class=\"phd-specs\" id=\"rtxp-specifications\"\u003e\u003cdiv class=\"phd-section-heading\"\u003e\n\u003ch2\u003eTechnical specification\u003c\/h2\u003e\n\u003cp\u003eSpecifications per card\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable class=\"mce-item-table\"\u003e\n\u003ccaption\u003e01 \/ GPU and memory\u003c\/caption\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eEdition\u003c\/th\u003e\n\u003ctd\u003eMax-Q Workstation Edition\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eGPU architecture\u003c\/th\u003e\n\u003ctd\u003eNVIDIA Blackwell \/ GB202\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eCUDA compute capability\u003c\/th\u003e\n\u003ctd\u003e12.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eCUDA cores\u003c\/th\u003e\n\u003ctd\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eTensor cores\u003c\/th\u003e\n\u003ctd\u003e752 \/ fifth generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eRT cores\u003c\/th\u003e\n\u003ctd\u003e188 \/ fourth generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eGraphics memory\u003c\/th\u003e\n\u003ctd\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eMemory interface\u003c\/th\u003e\n\u003ctd\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eMemory bandwidth\u003c\/th\u003e\n\u003ctd\u003e1,792 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eHost interface\u003c\/th\u003e\n\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable class=\"mce-item-table\"\u003e\n\u003ccaption\u003e02 \/ Physical integration\u003c\/caption\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eTotal board power\u003c\/th\u003e\n\u003ctd\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eCooling\u003c\/th\u003e\n\u003ctd\u003eActive blower fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eForm factor\u003c\/th\u003e\n\u003ctd\u003eFull-height, dual-slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eNominal dimensions (height x length)\u003c\/th\u003e\n\u003ctd\u003e4.4 x 10.5 inches; additional installation clearance required\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eAuxiliary power\u003c\/th\u003e\n\u003ctd\u003e1 x PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eDisplay connectors\u003c\/th\u003e\n\u003ctd\u003e4 x DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eDisplay operation\u003c\/th\u003e\n\u003ctd\u003eDirect display output; enabling MIG compute mode disables physical display outputs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eNVLink bridge\u003c\/th\u003e\n\u003ctd\u003eNot supported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eFrame synchronisation\u003c\/th\u003e\n\u003ctd\u003eSupports NVIDIA RTX PRO Sync; separate hardware required and not included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable class=\"mce-item-table\"\u003e\n\u003ccaption\u003e03 \/ Peak performance\u003c\/caption\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eFP32 compute\u003c\/th\u003e\n\u003ctd\u003e110 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eRT core throughput\u003c\/th\u003e\n\u003ctd\u003e333 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eAI compute (FP4, with sparsity)\u003c\/th\u003e\n\u003ctd\u003e3,511 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"phd-footnote\"\u003eThese peak figures use GPU Boost clocks. Application performance depends on software, workload, power settings and operating conditions. AI TOPS uses effective FP4 with sparsity; compute, ray-tracing and AI figures measure different operations and should be compared like for like.\u003c\/p\u003e\n\u003ctable class=\"mce-item-table\"\u003e\n\u003ccaption\u003e04 \/ Media and GPU partitioning\u003c\/caption\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eVideo encoding\u003c\/th\u003e\n\u003ctd\u003e4 x ninth-generation NVENC engines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eVideo decoding\u003c\/th\u003e\n\u003ctd\u003e4 x sixth-generation NVDEC engines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eJPEG engines\u003c\/th\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eVideo processing\u003c\/th\u003e\n\u003ctd\u003eAV1 support; 4:2:2 encode\/decode support with compatible software\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eMulti-Instance GPU (MIG)\u003c\/th\u003e\n\u003ctd\u003eUp to 4 instances; supported profiles include 4 x 24 GB, 2 x 48 GB or 1 x 96 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eNVIDIA vGPU technology\u003c\/th\u003e\n\u003ctd\u003eNot supported on this edition\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003ccaption\u003e05 \/ Product and packaging\u003c\/caption\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eManufacturer part number\u003c\/th\u003e\n\u003ctd\u003e900-5G153-2500-000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eUPC\u003c\/th\u003e\n\u003ctd\u003e810152850220\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eSupplied item\u003c\/th\u003e\n\u003ctd\u003eOne new GPU card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003ePackaging\u003c\/th\u003e\n\u003ctd\u003eRetail packaging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"phd-footnote\"\u003eAllow additional installation space for cabling and airflow beyond the card dimensions. MIG requires a supported driver, profile and system configuration. It partitions an individual GPU; it does not combine memory across separate cards.\u003c\/p\u003e\u003c\/section\u003e\u003cdetails\u003e\u003csummary\u003eWill the Max-Q card fit my workstation?\u003c\/summary\u003e\u003cdiv\u003e\n\u003cp\u003eThe card is full height and dual slot, measuring 4.4 x 10.5 inches. Allow additional room for the power cable and blower airflow. It requires one PCIe CEM5 16-pin connection.\u003c\/p\u003e\n\u003cp\u003eThe 300 W rating is for the GPU. Check PSU capacity for the complete system and, for a multi-GPU build, check card spacing and cooling with the system manufacturer.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat changes compared with Workstation Edition?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eMax-Q retains 96 GB of memory and the same core counts, but uses a 300 W blower-cooled design with lower peak throughput. The 600 W Workstation Edition has a larger double-flow-through cooler. Check each card's dimensions, power and airflow requirements for your system.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eCan several cards share their memory?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eEach card has its own 96 GB of graphics memory. Applications must support multi-GPU processing or model distribution to use several cards for one job. The memory is not automatically pooled, and NVLink bridging is not supported.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eCan I use MIG with monitors or NVIDIA vGPU?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eMIG supports up to four instances with a supported software stack. Enabling compute mode for MIG disables the physical display outputs. NVIDIA vGPU technology is not supported on Max-Q Workstation Edition; MIG does not automatically make instances independently available to separate virtual machines.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat is included with the Retail card?\u003c\/summary\u003e\u003cdiv\u003e\n\u003cp\u003eThis listing is for one new NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 96 GB GPU card only, not a complete workstation. Supplied in retail packaging.\u003c\/p\u003e\n\u003cp\u003eA compatible workstation, power connection, GPU drivers and application software are required. Any cables, adapters, accessories or software licences must be confirmed separately before ordering. \u003ca href=\"https:\/\/www.perceptasolutions.com\/hardware-compute?topic=hardware\u0026amp;product_title=NVIDIA+RTX+PRO+6000+Blackwell+Max-Q+Workstation+Edition+96GB+-+Retail\u0026amp;product_sku=900-5G153-2500-000\u0026amp;product_handle=nvidia-rtx-pro-6000-blackwell-max-q-workstation-edition-96gb-retail#contact\"\u003eAsk us about your installation requirements\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eManufacturer documentation\u003c\/summary\u003e\u003cdiv\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/products\/workstations\/professional-desktop-gpus\/rtx-pro-6000-max-q\/workstation-datasheet-blackwell-rtx-pro-6000-max-q-nvidia-us-5349650-web.pdf\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA edition-specific datasheet (PDF)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.pny.com\/nvidia-rtx-pro-6000-blackwell-max-q\" rel=\"noopener\" target=\"_blank\"\u003ePNY edition-specific hardware reference\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/datacenter\/tesla\/mig-user-guide\/supported-gpus.html\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA supported MIG GPUs\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/datacenter\/tesla\/mig-user-guide\/getting-started-with-mig.html\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA MIG setup and display-mode requirements\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/vgpu\/knowledge-base\/latest\/vgpu-features.html\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA vGPU support and limitations\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdiv class=\"phd-contact\"\u003e\n\u003cp\u003eSend us your system details and the applications you use to discuss whether this edition suits your build.\u003c\/p\u003e\n\u003ca href=\"https:\/\/www.perceptasolutions.com\/hardware-compute?topic=hardware\u0026amp;product_title=NVIDIA+RTX+PRO+6000+Blackwell+Max-Q+Workstation+Edition+96GB+-+Retail\u0026amp;product_sku=900-5G153-2500-000\u0026amp;product_handle=nvidia-rtx-pro-6000-blackwell-max-q-workstation-edition-96gb-retail#contact\"\u003eDiscuss your requirement ↗\u003c\/a\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":60932924145998,"sku":"900-5G153-2500-000","price":14095.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1078\/0213\/2814\/files\/eu-nvidia-rtx-pro-6000-blackwell-max-q-workstation-edition-3qtr-top-left.png?v=1789121876","url":"https:\/\/shop.perceptasolutions.com\/products\/nvidia-rtx-pro-6000-blackwell-max-q-workstation-edition-96gb-retail","provider":"Percepta Solutions","version":"1.0","type":"link"}