{"product_id":"pny-vcnrtxpro4000bpb-rtx-pro-4000-blackwell-24gb-gddr7","title":"PNY RTX Pro 4000 Blackwell 24GB GDDR7 The Single Slot Scaler","description":"\u003ch2 data-path-to-node=\"3\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"3\"\u003eNVIDIA RTX PRO™ 4000 Blackwell: The Single-Slot Powerhouse\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp data-path-to-node=\"4\"\u003eThe NVIDIA RTX PRO™ 4000 Blackwell is not just a graphics card; it is a high-density compute engine. Built on the revolutionary \u003cb data-index-in-node=\"128\" data-path-to-node=\"4\"\u003eBlackwell architecture\u003c\/b\u003e, it packs the performance of a flagship workstation into a slim, \u003cb data-index-in-node=\"216\" data-path-to-node=\"4\"\u003esingle-slot blower design\u003c\/b\u003e. Whether you are transitioning from high-end consumer hardware or scaling an enterprise server cluster, the RTX 4000 delivers the stability, memory integrity, and raw AI throughput required for the next decade of innovation.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"5\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"5\"\u003eWhy It Beats Consumer Hardware\u003c\/b\u003e\u003c\/h3\u003e\n\u003cul data-path-to-node=\"6\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"6,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"6,0,0\"\u003eTrue Single-Slot Density:\u003c\/b\u003e Unlike 3-slot consumer cards that \"choke\" when stacked, the RTX 4000 is a \u003cb data-index-in-node=\"100\" data-path-to-node=\"6,0,0\"\u003eblower-style\u003c\/b\u003e unit. It exhausts 100% of its heat out the rear I\/O, allowing you to line them up side-by-side with zero gap.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"6,1,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"6,1,0\"\u003e24GB GDDR7 with ECC:\u003c\/b\u003e Gaming memory is fast, but it doesn't correct errors. \u003cb data-index-in-node=\"75\" data-path-to-node=\"6,1,0\"\u003eError Correcting Code (ECC)\u003c\/b\u003e is mission-critical for long-form renders, scientific simulations, and AI training where a single bit-flip could ruin hours of work.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"6,2,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"6,2,0\"\u003eEnterprise Drivers:\u003c\/b\u003e No more \"Game Ready\" updates. These drivers are ISV-certified for professional software (SolidWorks, AutoCAD, Premiere, etc.), ensuring 24\/7 stability and prioritized support.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"6,3,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"6,3,0\"\u003eHardware Sync:\u003c\/b\u003e Features top-edge headers for \u003cb data-index-in-node=\"45\" data-path-to-node=\"6,3,0\"\u003e3D Stereo\u003c\/b\u003e and \u003cb data-index-in-node=\"59\" data-path-to-node=\"6,3,0\"\u003eQuadro Sync II\u003c\/b\u003e, allowing you to lock frame-timing across multiple GPUs for massive video walls or ultra-low-latency VR.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-path-to-node=\"7\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"7\"\u003eThe Blackwell Performance Leap\u003c\/b\u003e\u003c\/h3\u003e\n\u003cul data-path-to-node=\"8\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"8,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"8,0,0\"\u003e5th Gen Tensor Cores:\u003c\/b\u003e Delivers up to \u003cb data-index-in-node=\"37\" data-path-to-node=\"8,0,0\"\u003e3x the AI performance\u003c\/b\u003e of the previous generation. With new \u003cb data-index-in-node=\"96\" data-path-to-node=\"8,0,0\"\u003eFP4 support\u003c\/b\u003e, you can run larger Local LLMs and Generative AI models with significantly higher token-per-second throughput.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"8,1,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"8,1,0\"\u003e4th Gen RT Cores:\u003c\/b\u003e Double the ray-tracing efficiency. Render photorealistic scenes and cinematic 3D environments in real-time with \u003cb data-index-in-node=\"130\" data-path-to-node=\"8,1,0\"\u003eDLSS 4.0\u003c\/b\u003e, which can generate up to three AI frames for every traditionally rendered one.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"8,2,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"8,2,0\"\u003ePCIe Gen 5.0 Ready:\u003c\/b\u003e Double the bandwidth of Gen 4, eliminating data bottlenecks between the CPU and GPU—a vital upgrade for data-heavy AI and high-fidelity simulation.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-path-to-node=\"9\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"9\"\u003eTechnical Specifications\u003c\/b\u003e\u003c\/h3\u003e\n\u003cdiv class=\"horizontal-scroll-wrapper\"\u003e\n\u003cdiv class=\"table-block-component\"\u003e\n\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\n\u003cdiv class=\"table-block has-export-button new-table-style is-at-scroll-start is-at-scroll-end\"\u003e\n\u003cdiv data-ved=\"0CAAQ3ecQahgKEwjI46L25oiUAxUAAAAAHQAAAAAQxQE\" data-hveid=\"0\" class=\"table-content\"\u003e\n\u003ctable data-path-to-node=\"10\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cspan data-path-to-node=\"10,0,0,0\"\u003eFeature\u003c\/span\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cspan data-path-to-node=\"10,0,1,0\"\u003eSpecification\u003c\/span\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,1,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,1,0,0\"\u003eArchitecture\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,1,1,0\"\u003eNVIDIA Blackwell (4N Custom Process)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,2,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,2,0,0\"\u003eCUDA Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,2,1,0\"\u003e8,960\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,3,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,3,0,0\"\u003eTensor Cores\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,3,1,0\"\u003e280 (5th Generation)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,4,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,4,0,0\"\u003eGPU Memory\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,4,1,0\"\u003e24 GB GDDR7 with ECC\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,5,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,5,0,0\"\u003eMemory Bandwidth\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,5,1,0\"\u003e672 GB\/s\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,6,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,6,0,0\"\u003eMax Power (TDP)\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,6,1,0\"\u003e140 W\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,7,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,7,0,0\"\u003ePower Connector\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,7,1,0\"\u003e1x 16-pin (Rear-facing for density)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,8,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,8,0,0\"\u003eDisplay Outputs\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,8,1,0\"\u003e4x DisplayPort 2.1b (Up to 8K @ 165Hz)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,9,0,0\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"10,9,0,0\"\u003eForm Factor\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan data-path-to-node=\"10,9,1,0\"\u003e4.4” H x 9.5” L, \u003cb data-index-in-node=\"17\" data-path-to-node=\"10,9,1,0\"\u003eSingle Slot\u003c\/b\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"table-footer hide-from-message-actions\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 data-path-to-node=\"11\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"11\"\u003eScale Without Limits\u003c\/b\u003e\u003c\/h3\u003e\n\u003cp data-path-to-node=\"12\"\u003eThe RTX 4000 Blackwell is designed for \u003cb data-index-in-node=\"39\" data-path-to-node=\"12\"\u003eextreme scalability\u003c\/b\u003e. Because the power connector is moved to the rear of the card, your cabling remains clear of the \"wind tunnel\" created when these cards are stacked. In a standard 4U chassis, you can reliably run four or more of these cards to pool \u003cb data-index-in-node=\"291\" data-path-to-node=\"12\"\u003e96GB+ of VRAM\u003c\/b\u003e, creating a local AI powerhouse that fits in a fraction of the space required by consumer alternatives.\u003c\/p\u003e\n\u003cblockquote data-path-to-node=\"14\"\u003e\n\u003cp data-path-to-node=\"14,0\" style=\"text-align: left;\"\u003e\u003cb data-index-in-node=\"0\" data-path-to-node=\"14,0\"\u003eVerdict:\u003c\/b\u003e If your work has outgrown standard market specs and requires professional and industrial grade reliability, the RTX 4000 Blackwell is the most efficient, scalable, and dense way to upgrade your facility's compute capability.\u003c\/p\u003e\n\u003c\/blockquote\u003e","brand":"Cosmic Spark","offers":[{"title":"Default Title","offer_id":53663032476012,"sku":null,"price":2699.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0976\/7541\/1820\/files\/1-rtx-pro-4000-blackwell-3qtr-top-left.png?v=1777113396","url":"https:\/\/www.cosmicspark.xyz\/products\/pny-vcnrtxpro4000bpb-rtx-pro-4000-blackwell-24gb-gddr7","provider":"Cosmic Spark","version":"1.0","type":"link"}