{"product_id":"nvidia-rtx-pro-5000-blackwell-48gb","title":"NVIDIA RTX PRO 5000 Blackwell 48GB","description":"\u003csection class=\"phd-intro\"\u003e\n  \u003cdiv\u003e\n\u003cp class=\"phd-eyebrow\"\u003eWorkstation graphics \/ NVIDIA Blackwell\u003c\/p\u003e\n\u003ch2\u003e48GB of GDDR7 for graphics and GPU compute.\u003c\/h2\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cp\u003eThe NVIDIA RTX PRO 5000 Blackwell combines 48GB of ECC-capable GDDR7 memory with 1,344GB\/s bandwidth for local AI development, GPU data science and detailed 3D scenes. Its active dual-slot cooler, four DisplayPort outputs and dedicated video engines bring compute and content creation into one workstation.\u003c\/p\u003e\n\u003cp\u003eA full-height workstation graphics card with 48GB of dedicated memory and a 300W board-power rating.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cnav class=\"phd-jump-links\" aria-label=\"Product information\"\u003e\n  \u003ca href=\"#hardware-components\"\u003eProduct details\u003c\/a\u003e\n  \u003ca href=\"#hardware-specification\"\u003eTechnical specification\u003c\/a\u003e\n  \u003ca href=\"#hardware-included\"\u003eIncluded and required\u003c\/a\u003e\n  \u003ca href=\"#hardware-questions\"\u003eBefore you order\u003c\/a\u003e\n\u003c\/nav\u003e\n\u003cdiv class=\"phd-metrics\" aria-label=\"Key specifications\"\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e48GB\u003c\/strong\u003e\u003cspan\u003eGDDR7 memory with ECC\u003c\/span\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e1,344GB\/s\u003c\/strong\u003e\u003cspan\u003eGPU memory bandwidth\u003c\/span\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e300W\u003c\/strong\u003e\u003cspan\u003eTotal board power\u003c\/span\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cstrong\u003e4x DisplayPort\u003c\/strong\u003e\u003cspan\u003e2.1b display outputs\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection class=\"phd-components\" id=\"hardware-components\"\u003e\n  \u003ch2\u003eGraphics, compute and video in a dual-slot card.\u003c\/h2\u003e\n  \u003cdiv class=\"phd-features\"\u003e\n    \u003carticle\u003e\u003ch3\u003eLocal models and GPU data pipelines\u003c\/h3\u003e\n\u003cp\u003e48GB gives local LLM inference and CUDA-X data preparation room for models, datasets and working buffers. Fifth-generation Tensor Cores support FP4 inference in compatible software, which can reduce model memory use. Workload fit still depends on precision, context length and application overhead.\u003c\/p\u003e\u003c\/article\u003e\n    \u003carticle\u003e\u003ch3\u003eDetailed scenes and design reviews\u003c\/h3\u003e\n\u003cp\u003eFourth-generation RT cores accelerate ray-traced views of CAD designs and complex 3D scenes. Keeping geometry and textures in GPU memory supports rendering workflows, while neural-rendering features such as DLSS can assist interactive previews in applications that implement them.\u003c\/p\u003e\u003c\/article\u003e\n    \u003carticle\u003e\u003ch3\u003eVideo production and streaming\u003c\/h3\u003e\n\u003cp\u003eThree ninth-generation NVENC and three sixth-generation NVDEC engines handle encoding and decoding for editing, transcoding and live video. H.264 and HEVC 4:2:2 support accommodates compatible camera footage; AV1 encoding offers another route for delivery. The application's codec support determines the available paths.\u003c\/p\u003e\u003c\/article\u003e\n  \u003c\/div\u003e\n\u003c\/section\u003e\n\u003caside class=\"phd-note\"\u003e\u003ch3\u003eCheck space, power and cooling.\u003c\/h3\u003e\n\u003cp\u003eAllow for the full-height, dual-slot card, its 10.5-inch length and the PCIe CEM5 16-pin power cable. Check that the chassis provides suitable airflow and that the PSU can support the 300W card alongside the rest of the system.\u003c\/p\u003e\u003c\/aside\u003e\n\u003csection class=\"phd-specs\" id=\"hardware-specification\"\u003e\n  \u003cdiv class=\"phd-section-heading\"\u003e\n\u003ch2\u003eTechnical specification\u003c\/h2\u003e\n\u003cp\u003eSpecifications for the 48GB model\u003c\/p\u003e\n\u003c\/div\u003e\n  \u003ctable\u003e\n\u003ccaption\u003e01 \/ Architecture, memory and compute\u003c\/caption\u003e\n\u003ctbody\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eGPU model\u003c\/th\u003e\n\u003ctd\u003eNVIDIA RTX PRO 5000 Blackwell 48GB\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eManufacturer part number\u003c\/th\u003e\n\u003ctd\u003e900-5G153-2550-000\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    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eArchitecture\u003c\/th\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eGPU memory\u003c\/th\u003e\n\u003ctd\u003e48GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eMemory bandwidth\u003c\/th\u003e\n\u003ctd\u003e1,344GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eCUDA cores\u003c\/th\u003e\n\u003ctd\u003e14,080\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eTensor Cores\u003c\/th\u003e\n\u003ctd\u003e440, fifth generation\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eRT cores\u003c\/th\u003e\n\u003ctd\u003e110, fourth generation\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eMulti-Instance GPU\u003c\/th\u003e\n\u003ctd\u003eUp to 2x 24GB, or 1x 48GB; software and firmware prerequisites apply\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003ctr\u003e\n\u003cth scope=\"row\"\u003eFP32 single-precision peak\u003c\/th\u003e\n\u003ctd\u003e65 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth scope=\"row\"\u003eFP4 Tensor peak (with sparsity)\u003c\/th\u003e\n\u003ctd\u003e2,064 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"phd-footnote\"\u003eManufacturer peaks per GPU at GPU Boost clock, not application benchmarks. FP4 uses sparsity; it is not dense throughput. Actual performance depends on the application, model and software support.\u003c\/p\u003e\n  \u003ctable\u003e\n\u003ccaption\u003e02 \/ Connectivity and video\u003c\/caption\u003e\n\u003ctbody\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    \u003ctr\u003e\n\u003cth scope=\"row\"\u003ePhysical display outputs\u003c\/th\u003e\n\u003ctd\u003e4x DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eDirectly connected displays\u003c\/th\u003e\n\u003ctd\u003eUp to 4; supported mode depends on the display configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eVideo engines\u003c\/th\u003e\n\u003ctd\u003e3x ninth-generation NVENC; 3x sixth-generation NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n  \u003ctable\u003e\n\u003ccaption\u003e03 \/ Power, cooling and physical format\u003c\/caption\u003e\n\u003ctbody\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eBoard power\u003c\/th\u003e\n\u003ctd\u003e300W total board power\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003cth scope=\"row\"\u003eAuxiliary power input\u003c\/th\u003e\n\u003ctd\u003e1x PCIe CEM5 16-pin\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 card dimensions\u003c\/th\u003e\n\u003ctd\u003e4.4 inches high x 10.5 inches long\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n  \u003cp class=\"phd-footnote\"\u003eSize the PSU for the complete system, including the 300W graphics card. Allow additional clearance beyond the nominal card dimensions for power cabling and airflow.\u003c\/p\u003e\n\u003c\/section\u003e\n\u003csection class=\"phd-supply\" id=\"hardware-included\"\u003e\n  \u003cdiv\u003e\n\u003cp class=\"phd-eyebrow\"\u003eIncluded\u003c\/p\u003e\n\u003ch2\u003eOne 48GB graphics card.\u003c\/h2\u003e\n\u003cp\u003eOne NVIDIA RTX PRO 5000 Blackwell 48GB graphics card in retail packaging, part number 900-5G153-2550-000.\u003c\/p\u003e\n\u003cp\u003ePlan any power and display cables, installation accessories and software licences separately.\u003c\/p\u003e\n\u003c\/div\u003e\n  \u003cdiv\u003e\n\u003cp class=\"phd-eyebrow\"\u003ePlan your installation\u003c\/p\u003e\n\u003ch2\u003eWhat your workstation needs.\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eA compatible full-height PCIe x16 slot with dual-slot clearance.\u003c\/li\u003e\n\u003cli\u003eRoom for a 10.5-inch card, power-cable routing and suitable chassis airflow.\u003c\/li\u003e\n\u003cli\u003ePSU capacity appropriate to the complete system, with approved PCIe CEM5 16-pin auxiliary cabling.\u003c\/li\u003e\n\u003cli\u003eA supported NVIDIA driver, operating system and application stack; licences and display cables as required.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"phd-faq\" id=\"hardware-questions\" aria-label=\"Before you order\"\u003e\n  \u003cdetails\u003e\u003csummary\u003eHow does the 48GB model compare with the 72GB version?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eThe 72GB version adds 24GB of memory. Both models have the same core counts, 1,344GB\/s memory bandwidth and 300W board power. The choice is primarily about how much GPU memory your applications need.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eCan I use it for local AI workloads?\u003c\/summary\u003e\u003cdiv\u003e\n\u003cp\u003eYes, with software that supports this GPU and a workload that fits within 48GB of VRAM. Model precision, context length, concurrent requests and working buffers all affect the total memory requirement.\u003c\/p\u003e\n\u003cp\u003eMIG requires a supported Linux driver and vBIOS configuration. Check display-mode requirements before planning connected monitors.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eCan I connect four monitors?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eYes. Four DisplayPort 2.1b outputs support up to four simultaneous displays. The available resolution, refresh rate and colour format depend on the displays, cables and software.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWill it fit my workstation?\u003c\/summary\u003e\u003cdiv\u003e\u003cp\u003eCheck for a compatible full-height PCIe x16 slot, dual-slot clearance and space for the 10.5-inch card and power cable. The card needs one PCIe CEM5 16-pin auxiliary power connection, suitable chassis airflow and system power capacity that allows for its 300W board rating.\u003c\/p\u003e\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat is included?\u003c\/summary\u003e\u003cdiv\u003e\n\u003cp\u003eOne RTX PRO 5000 Blackwell 48GB graphics card in retail packaging, manufacturer part number 900-5G153-2550-000. Plan any power adapters, display cables, installation accessories and software licences separately.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n  \n  \n  \n  \u003cdetails\u003e\u003csummary\u003eManufacturer documentation\u003c\/summary\u003e\u003cdiv\u003e\n\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.pny.com\/nvidia-rtx-pro-5000-blackwell\"\u003ePNY RTX PRO 5000 Blackwell 48GB specifications\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.pny.com\/File%20Library\/Company\/Support\/Product%20Brochures\/NVIDIA%20RTX\/English\/nvidia-rtx-pro-5000-blackwell.pdf\"\u003ePNY RTX PRO 5000 Blackwell paired 48GB\/72GB datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.pny.com\/File%20Library\/Company\/Support\/linecards\/pro-viz-gpus\/nvidia-professional-graphics-linecard.pdf\"\u003ePNY professional graphics linecard - 48GB model reference\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/datacenter\/tesla\/mig-user-guide\/deployment-considerations.html\"\u003eNVIDIA MIG deployment considerations\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\"\u003eNVIDIA MIG setup and firmware prerequisites\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/section\u003e\n","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":60872451981646,"sku":"900-5G153-2550-000","price":8195.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1078\/0213\/2814\/files\/RTX_PRO_5000_3QTR_Top_Left_1200x1200_265ccde9-360b-4c70-ac32-1aa751b50a14.png?v=1789854143","url":"https:\/\/shop.perceptasolutions.com\/products\/nvidia-rtx-pro-5000-blackwell-48gb","provider":"Percepta Solutions","version":"1.0","type":"link"}