{"title":"Nvidia blackwell.","description":"","products":[{"product_id":"nvidia-rtx-pro-4000-blackwell-sff-24gb-gddr7","title":"NVIDIA RTX Pro 4000 Blackwell SFF 24GB GDDR7","description":"\u003cstyle\u003e\n    .product-description-component {\n      font-family: sans-serif;\n      line-height: 1.6;\n      color: #333;\n    }\n    .product-description-component h2 {\n      font-size: 1.5em;\n      font-weight: 600;\n      margin-bottom: 15px;\n      margin-top: 25px;\n      text-transform: capitalize;\n    }\n    .product-description-component h2:first-of-type {\n      margin-top: 0;\n    }\n    .product-description-component p {\n      font-size: 1rem;\n      margin-bottom: 20px;\n      text-decoration: none !important;\n    }\n    .product-description-component a, \n    .product-description-component span {\n      text-decoration: none;\n      border-bottom: none;\n    }\n  \u003c\/style\u003e\n\u003cdiv class=\"product-description-component\"\u003e\n\u003ch2\u003eProduct description\u003c\/h2\u003e\n\u003cp\u003eRedefine small form factor productivity with the NVIDIA RTX Pro 4000 Blackwell SFF, a premium low-profile workstation GPU designed for intensive AI and creative workflows. Leveraging the monumental Blackwell architecture, this professional-grade card integrates 24GB of ultra-fast GDDR7 memory with ECC support to ensure absolute data precision during complex simulations. Engineered for ultimate efficiency, it delivers a massive 770 AI TOPS of throughput and 4th-generation ray tracing performance, all while maintaining a remarkably low 70W power envelope. With its compact dual-slot design and native PCIe 5.0 support, this powerhouse provides unmatched hardware reliability and massive local processing depth for engineers and data scientists operating within constrained desktop environments.\u003cbr\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cimg src=\"https:\/\/www.scorptec.com.au\/images\/products\/35\/548\/118876\/388374_feature.jpg\" alt=\"NVIDIA RTX PRO 4000 SFF Blackwell Low Profile, 24GB\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eSpecification\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable data-path-to-node=\"6\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eDetail\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,1,0,0\"\u003e\u003cb data-path-to-node=\"6,1,0,0\" data-index-in-node=\"0\"\u003eGPU Architecture\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,1,1,0\"\u003eNVIDIA Blackwell\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,1,2,0\"\u003eProfessional Enterprise Class\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,2,0,0\"\u003e\u003cb data-path-to-node=\"6,2,0,0\" data-index-in-node=\"0\"\u003eCUDA Parallel Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,2,1,0\"\u003e8,960 Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,2,2,0\"\u003eHigh-Throughput Compute Scaling\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,3,0,0\"\u003e\u003cb data-path-to-node=\"6,3,0,0\" data-index-in-node=\"0\"\u003eTensor Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,3,1,0\"\u003e280 (5th Generation)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,3,2,0\"\u003eFP4 Precision \u0026amp; DLSS 4 Support\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,4,0,0\"\u003e\u003cb data-path-to-node=\"6,4,0,0\" data-index-in-node=\"0\"\u003eRay Tracing Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,4,1,0\"\u003e70 (4th Generation)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,4,2,0\"\u003eNeural Graphics \u0026amp; Mega Geometry\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,5,0,0\"\u003e\u003cb data-path-to-node=\"6,5,0,0\" data-index-in-node=\"0\"\u003eVideo Memory Capacity\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,5,1,0\"\u003e24GB GDDR7\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,5,2,0\"\u003eError-Correcting Code (ECC) Enabled\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,6,0,0\"\u003e\u003cb data-path-to-node=\"6,6,0,0\" data-index-in-node=\"0\"\u003eMemory Bandwidth\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,6,1,0\"\u003e432 GB\/s\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,6,2,0\"\u003e192-bit High-Speed Bus Interface\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,7,0,0\"\u003e\u003cb data-path-to-node=\"6,7,0,0\" data-index-in-node=\"0\"\u003eTotal AI Performance\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,7,1,0\"\u003e770 AI TOPS\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,7,2,0\"\u003eLocal LLM \u0026amp; Generative Inference\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,8,0,0\"\u003e\u003cb data-path-to-node=\"6,8,0,0\" data-index-in-node=\"0\"\u003eMaximum Power Draw\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,8,1,0\"\u003e70W TDP\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,8,2,0\"\u003eHigh-Efficiency Active Blower\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,9,0,0\"\u003e\u003cb data-path-to-node=\"6,9,0,0\" data-index-in-node=\"0\"\u003eSystem Interface Bus\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,9,1,0\"\u003ePCI Express 5.0 x8\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,9,2,0\"\u003eDoubled Architectural Bandwidth\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,10,0,0\"\u003e\u003cb data-path-to-node=\"6,10,0,0\" data-index-in-node=\"0\"\u003eDisplay Outputs\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,10,1,0\"\u003e4x mini-DisplayPort 2.1b\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,10,2,0\"\u003eSupports 8K at 240Hz \/ 16K at 60Hz\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,11,0,0\"\u003e\u003cb data-path-to-node=\"6,11,0,0\" data-index-in-node=\"0\"\u003eVideo Processing Units\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,11,1,0\"\u003e2x 9th-Gen NVENC \/ 2x 6th-Gen NVDEC\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,11,2,0\"\u003eAV1 Hardware Encoding \u0026amp; 4:2:2 Support\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,12,0,0\"\u003e\u003cb data-path-to-node=\"6,12,0,0\" data-index-in-node=\"0\"\u003ePhysical Dimensions\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,12,1,0\"\u003e2.7\" H x 6.6\" L\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,12,2,0\"\u003eLow-Profile Dual-Slot Form Factor\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"I Gaming Computer","offers":[{"title":"Default Title","offer_id":48627928727767,"sku":"900-5G195-2501-000","price":2899.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0516\/5295\/2217\/files\/nvidia_rtx_pro_4000_blackwell_sff_24gb_gddr7_i_gaming_computers_1.webp?v=1778909693"},{"product_id":"nvidia-rtx-pro-2000-blackwell-16gb-gddr7","title":"NVIDIA RTX Pro 2000 Blackwell 16GB GDDR7","description":"\u003cstyle\u003e\n    .product-description-component {\n      font-family: sans-serif;\n      line-height: 1.6;\n      color: #333;\n    }\n    .product-description-component h2 {\n      font-size: 1.5em;\n      font-weight: 600;\n      margin-bottom: 15px;\n      margin-top: 25px;\n      text-transform: capitalize;\n    }\n    .product-description-component h2:first-of-type {\n      margin-top: 0;\n    }\n    .product-description-component p {\n      font-size: 1rem;\n      margin-bottom: 20px;\n      text-decoration: none !important;\n    }\n    .product-description-component a, \n    .product-description-component span {\n      text-decoration: none;\n      border-bottom: none;\n    }\n  \u003c\/style\u003e\n\u003cdiv class=\"product-description-component\"\u003e\n\u003ch2\u003eProduct description\u003c\/h2\u003e\n\u003cp\u003eAccelerate advanced multi-application workflows with the NVIDIA RTX Pro 2000 Blackwell, a premium workstation graphics solution engineered for space-constrained computing environments. Powered by revolutionary Blackwell architecture, this professional component delivers up to 545 AI TOPS of processing power to streamline localized machine learning, data science, and 3D modeling tasks. It comes equipped with 16GB of ultra-fast GDDR7 memory featuring Error-Correcting Code for absolute computational precision. Utilizing an incredibly efficient 70W max power envelope, the compact dual-slot design eliminates the need for auxiliary power connectors, ensuring ultimate system integration flexibility and unmatched structural reliability in small form factor configurations.\u003cbr\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cimg src=\"https:\/\/prod.scorptec.com.au\/35\/548\/118872\/373601_feature.jpg\" alt=\"NVIDIA RTX PRO 2000 Blackwell Low Profile\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eSpecification\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable data-path-to-node=\"6\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eDetail\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,1,0,0\"\u003e\u003cb data-path-to-node=\"6,1,0,0\" data-index-in-node=\"0\"\u003eGPU Architecture\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,1,1,0\"\u003eNVIDIA Blackwell\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,1,2,0\"\u003eAdvanced 4nm Workstation Platform\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,2,0,0\"\u003e\u003cb data-path-to-node=\"6,2,0,0\" data-index-in-node=\"0\"\u003eCUDA Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,2,1,0\"\u003e4,352 Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,2,2,0\"\u003eAccelerated Parallel Compute Shading\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,3,0,0\"\u003e\u003cb data-path-to-node=\"6,3,0,0\" data-index-in-node=\"0\"\u003eTensor Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,3,1,0\"\u003e136 (5th Generation)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,3,2,0\"\u003eNative FP4 Precision \u0026amp; DLSS 4 Support\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,4,0,0\"\u003e\u003cb data-path-to-node=\"6,4,0,0\" data-index-in-node=\"0\"\u003eRay Tracing Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,4,1,0\"\u003e34 (4th Generation)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,4,2,0\"\u003eRTX Mega Geometry Photoreal Rendering\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,5,0,0\"\u003e\u003cb data-path-to-node=\"6,5,0,0\" data-index-in-node=\"0\"\u003eVideo Memory Capacity\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,5,1,0\"\u003e16GB GDDR7\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,5,2,0\"\u003eError-Correcting Code (ECC) Safeguarded\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,6,0,0\"\u003e\u003cb data-path-to-node=\"6,6,0,0\" data-index-in-node=\"0\"\u003eMemory Bandwidth\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,6,1,0\"\u003e288 GB\/s\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,6,2,0\"\u003e128-bit High-Speed Bus Interface\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,7,0,0\"\u003e\u003cb data-path-to-node=\"6,7,0,0\" data-index-in-node=\"0\"\u003eAI Compute Output\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,7,1,0\"\u003e545 AI TOPS\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,7,2,0\"\u003eInference at the Edge \u0026amp; Local LLMs\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,8,0,0\"\u003e\u003cb data-path-to-node=\"6,8,0,0\" data-index-in-node=\"0\"\u003eMaximum Power Draw\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,8,1,0\"\u003e70W TDP\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,8,2,0\"\u003eHigh-Efficiency No External PCIe Cable Needed\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,9,0,0\"\u003e\u003cb data-path-to-node=\"6,9,0,0\" data-index-in-node=\"0\"\u003eGraphics Bus Interface\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,9,1,0\"\u003ePCI Express 5.0 x8\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,9,2,0\"\u003eModern High-Throughput System Link\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,10,0,0\"\u003e\u003cb data-path-to-node=\"6,10,0,0\" data-index-in-node=\"0\"\u003eDisplay Connectivity\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,10,1,0\"\u003e4x mini-DisplayPort 2.1b\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,10,2,0\"\u003eDrives Four 4K 165Hz or Dual 8K Displays\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,11,0,0\"\u003e\u003cb data-path-to-node=\"6,11,0,0\" data-index-in-node=\"0\"\u003eMedia Processing Engines\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,11,1,0\"\u003e1x 9th-Gen NVENC \/ 1x 6th-Gen NVDEC\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,11,2,0\"\u003eAV1 Hardware Encoding \u0026amp; 4:2:2 Decoding\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,12,0,0\"\u003e\u003cb data-path-to-node=\"6,12,0,0\" data-index-in-node=\"0\"\u003ePhysical Dimensions\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,12,1,0\"\u003e2.7” H x 6.6” L\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"6,12,2,0\"\u003eLow-Profile Dual-Slot (HHHL) Layout\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"I Gaming Computer","offers":[{"title":"Default Title","offer_id":48627928760535,"sku":"900-5G195-2551-000","price":1359.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0516\/5295\/2217\/files\/nvidia_rtx_pro_2000_blackwell_16gb_gddr7_i_gaming_computers_1.webp?v=1778909893"},{"product_id":"leadtek-nvidia-rtx-pro-4000-blackwell-24gb-gddr7-ecc","title":"Nvidia RTX PRO 4000 Blackwell 24GB GDDR7 ECC","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp style=\"font-size: 16px; line-height: 1.6;\"\u003eAccelerate your professional engineering, data science, and AI deployment with the \u003cstrong\u003eNVIDIA RTX PRO 4000 Blackwell 24GB Workstation\u003c\/strong\u003e Graphics \u003cstrong\u003eCard\u003c\/strong\u003e. Built on the revolutionary \u003cstrong\u003eNVIDIA Blackwell architecture\u003c\/strong\u003e, this ultra-efficient powerhouse delivers groundbreaking neural graphics and enterprise-grade performance within a compact footprint. Equipped with a massive \u003cstrong\u003e24GB of ultra-fast GDDR7 memory with Error-Correcting Code (ECC)\u003c\/strong\u003e, it guarantees extreme stability for mission-critical tasks, local LLM prototyping, and rendering highly intricate 3D assets.\u003c\/p\u003e\n\u003cp style=\"font-size: 16px; line-height: 1.6;\"\u003eFeaturing an incredibly slim, ultra-efficient \u003cstrong\u003esingle-slot design\u003c\/strong\u003e and drawing a maximum of just 140W, it easily drops into dense multi-GPU rackmounts or compact office workstations. Armed with fifth-generation Tensor Cores supporting ultra-efficient FP4 precision and fourth-generation RT Cores for complex ray-traced geometries, it offers unmatched compute densities. Complete with a cutting-edge \u003cstrong\u003ePCI Express 5.0 x16\u003c\/strong\u003e interface and \u003cstrong\u003efour DisplayPort 2.1b outputs\u003c\/strong\u003e capable of driving up to dual 8K displays at 100Hz, this professional GPU is fully ISV-certified to streamline your design, AI, and generative simulation pipelines without compromise.\u003c\/p\u003e\n\u003cp style=\"font-size: 16px; line-height: 1.6;\"\u003e\u003cimg src=\"https:\/\/prod.scorptec.com.au\/35\/548\/118874\/363254_feature.png\" alt=\"NVIDIA RTX PRO 4000 Blackwell, 24GB\"\u003e\u003c\/p\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable border=\"1\" style=\"width: 100%; border-collapse: collapse; text-align: left; font-family: Arial, sans-serif; font-size: 15px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"padding: 12px; border: 1px solid #ddd;\"\u003eTechnical Parameter\u003c\/th\u003e\n\u003cth style=\"padding: 12px; border: 1px solid #ddd;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eModel \/ MPN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003eNVIDIA RTX PRO™ 4000 Blackwell (900-5G147-2270-000)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eGPU Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e8960 Units\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eTensor Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e5th Generation (Supports FP4 Precision \u0026amp; DLSS 4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eRay Tracing Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e4th Generation (RTX Mega Geometry Support)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003eUp to 1178 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eMemory Size \/ Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e24GB GDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eMemory Reliability\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003eError-Correcting Code (ECC) Support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eMemory Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e192-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e672 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eBus Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eDisplay Connectors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e4x DisplayPort 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eMax Resolution \/ Displays\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003eUp to 4x 4K @ 165Hz or 2x 8K @ 100Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eVideo Hardware Acceleration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e2x 9th-Gen NVENC (AV1, H.264\/HEVC 4:2:2), 2x 6th-Gen NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eMax Power Consumption\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e140 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003ePower Input\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e1x PCIe CEM5 16-pin (12VHPWR\/12V-2x6 style)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eCooling Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003eBlower Active Fan (Optimized for Multi-GPU Layouts)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e4.4” H x 9.5” L, Full Height, Single-Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eEnterprise Ecosystem\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid #ddd;\"\u003eISV Certified Drivers, NVIDIA RTX Desktop Manager, Frame Lock Support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":48795087405271,"sku":"900-5G147-2570-000","price":3099.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0516\/5295\/2217\/files\/nvidia_rtx_pro_4000_blackwell_24gb_workstation_graphics_card_igaming_computer_8b3969f1-c3cd-40a2-9e90-11b152f228bb.webp?v=1781925457"}],"url":"https:\/\/igamingcomputer.com.au\/collections\/nvidia-blackwell-graphics-card.oembed","provider":"I Gaming Computer","version":"1.0","type":"link"}