{"title":"PNY Technologies","description":"","products":[{"product_id":"pny-nvidia-rtx-4000-ada-professional-graphics-card","title":"PNY NVIDIA RTX 4000 ADA Professional Graphics Card","description":"\u003cdiv class=\"row contained h-pushLgTop centered-med\"\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch2 class=\"h-h1 h-colorWhite h-caps\"\u003eNVIDIA RTX 4000 ADA GENERATION\u003c\/h2\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eNVIDIA Ada Lovelace Architecture\u003c\/h4\u003e\n\u003cp\u003eExperience fast, interactive performance—powered by the latest NVIDIA Ada Lovelace architecture-based GPU—with ultra-fast, onboard graphics memory technology and optimized software drivers for professional applications. The Shader Execution Reordering (SER) system allows on-the-fly organization and reordering of workloads, grouping similar performing threads so the streaming multiprocessor (SM) and RT Core can operate more efficiently.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eCUDA Cores\u003c\/h4\u003e\n\u003cp\u003eThe NVIDIA Ada Lovelace architecture-based CUDA cores deliver up to 2X the single-precision floating-point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and compute for workloads like desktop simulation for CAE.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eThird-Generation RT Cores\u003c\/h4\u003e\n\u003cp\u003eThird-generation RT Cores provide up to 2X the throughput of the previous generation and the ability to run ray tracing with either shading or denoising capabilities concurrently. This accelerates renders for M\u0026amp;E content creation, AECO design evaluations, and manufacturing virtual prototyping. Third-generation RT Cores deliver up to 2X the ray-tracing performance over the previous generation, delivering groundbreaking performance for photorealistic rendering. Enhanced RT Cores combined with new SER technology dynamically reorder inefficient workloads, dramatically improving shader performance to accelerate end-to-end ray-traced image rendering performance.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row contained centered-med\"\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eFourth Generation Tensor Cores\u003c\/h4\u003e\n\u003cp\u003eFourth-generation Tensor Cores provide up to 4X faster AI training performance than the previous generation with FP16 precision. Support for the new FP8 data format for inference provides more than 4X faster performance than the previous generation and reduces data memory usage by half (compared to the FP16 data format).\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003ePCIe Gen 4\u003c\/h4\u003e\n\u003cp\u003eRTX 4000 supports PCIe Gen4, which doubles the bandwidth of PCIe Gen3 from 15.75GB\/sec to 31.5 GB\/sec for x16 connections, improving data transfer speeds from CPU memory for data-intensive tasks such as AI, data science, and creating 3D models from large datasets. Faster PCIe performance also accelerates GPU DMA transfers, providing faster video data transfers from GPUDirect for Video-enabled devices and faster IO with GPUDirect Storage.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eHigher Speed GDDR6 Memory\u003c\/h4\u003e\n\u003cp\u003eRTX 4000 features 20GB of GDDR6 memory, providing the memory needed for rendering, data science, engineering simulation, and other GPU memory-intensive applications. Support for ECC memory delivers uncompromised computing accuracy and reliability for mission-critical applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row contained centered-med\"\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eMulti-Display\u003c\/h4\u003e\n\u003cp\u003eFour mini-DisplayPort 1.4a connectors, support for multiple 8K monitors, NVIDIA Quadro Sync, Mosaic, and Warp and Blend enable massive immersive environments for CAVE, video walls, and location-based entertainment deployments.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eExtended Reality\u003c\/h4\u003e\n\u003cp\u003eSupport for the latest high-resolution HMD devices, high-performance graphics, and 20GB of GPU memory enable the creation of AR and VR experiences for training, product validations, building walkthroughs, and compelling entertainment.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eForm Factor and Power Efficiency\u003c\/h4\u003e\n\u003cp\u003eWith a single-slot, low-profile form factor, and power-efficient design, RTX 4000 fits into a wide range of workstation chassis, providing professionals with a generous selection of compatible workstations from worldwide OEM vendors and delivering a groundbreaking GPU architecture for AI and AI-based neural graphics in desktop workstations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row contained centered-med h-pushLgBottom\"\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eMotion BVH\u003c\/h4\u003e\n\u003cp\u003eHardware-accelerated rendering of motion blur—a common cinematic effect that's difficult to render—means artists no longer need to rely on traditional methods of using motion vectors to achieve motion blur. Motion vectors allow the artist to adjust motion blur in post but require visual fixes for reflections and translucency.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eNVIDIA DLSS\u003c\/h4\u003e\n\u003cp\u003eThe Ada Lovelace GPU architecture features a new Optical Flow Accelerator and AI-based DLSS Super Resolution with DL denoiser that boost DLSS 3.0's frame rates up to 4X compared to the previous version while maintaining or exceeding native image quality.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eNVIDIA RTX Broadcast Engine\u003c\/h4\u003e\n\u003cp\u003eThe NVIDIA RTX Broadcast Engine transforms offices into broadcast studios, upgrading standard webcams and microphones into premium smart devices with the power of AI. Improve the video and audio quality of live streams with AI capabilities such as virtual backgrounds, webcam auto frame, and microphone noise removal. With dedicated AI processors called Tensor Cores on NVIDIA RTX GPUs, the AI networks can run in real-time alongside your applications.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-name\"\u003e\n\u003ch3 class=\"h-h4 h-colorWhite\"\u003e\n\u003ci class=\"icon-tools icon--empty\"\u003e\u003c\/i\u003eSOFTWARE SUPPORT\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row contained centered-med h-pushLgTop\"\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eNVIDIA RTX Experience\u003c\/h4\u003e\n\u003cp\u003eNVIDIA RTX Experience delivers a suite of productivity tools to your desktop workstation, including desktop recording in up to 8K, automatic alerts for the latest NVIDIA RTX Enterprise driver updates, and access gaming features. The application is available for\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/design-visualization\/software\/rtx-experience\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-us\/design-visualization\/software\/rtx-experience\/\" target=\"_blank\"\u003edownload here\u003c\/a\u003e\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eNVIDIA CUDA Parallel Computing Platform\u003c\/h4\u003e\n\u003cp\u003eNatively execute standard programming languages like C\/C++ and Fortran, and APIs such as OpenCL, OpenACC, and Direct Compute to accelerate techniques such as ray tracing, video and image processing, and computation fluid dynamics.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eUnified Memory\u003c\/h4\u003e\n\u003cp\u003eA single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row contained centered-med h-pushLgBottom\"\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eNVIDIA GPU Direct for Video\u003c\/h4\u003e\n\u003cp\u003eGPUDirect for Video speeds communication between the GPU and video I\/O devices by avoiding unnecessary system memory copies and CPU overhead.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-8 h-pushBottom\"\u003e\n\u003ch4 class=\"h-h6 h-pushSmBottom\"\u003eNVIDIA Enterprise Management Tools\u003c\/h4\u003e\n\u003cp\u003eMaximize system uptime, seamlessly manage wide-scale deployments, and remotely control graphics and display settings for efficient operations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable class=\"table h-textCenter\" data-mce-fragment=\"1\"\u003e\n\u003ctbody data-mce-fragment=\"1\"\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eProduct\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eNVIDIA RTX 4000 Ada Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eArchitecture\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eNVIDIA Ada Lovelace Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eFoundry\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eProcess Size\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e4 nm NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eTransistors\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e35.8 billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eDie Size\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e294.5 mm\u003csup data-mce-fragment=\"1\"\u003e2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eCUDA Parallel Processing Cores\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e6,144\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eNVIDIA Tensor Cores\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e192\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eNVIDIA RT Cores\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eSingle-Precision Performance\u003csup data-mce-fragment=\"1\"\u003e1\u003c\/sup\u003e\n\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e26.7 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eRT Core Performance\u003csup data-mce-fragment=\"1\"\u003e1\u003c\/sup\u003e\n\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e61.8 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eTensor Performance\u003csup data-mce-fragment=\"1\"\u003e1\u003c\/sup\u003e\n\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e327.6 TFLOPS\u003csup data-mce-fragment=\"1\"\u003e2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eGPU Memory\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e20 GB GDDR6 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eMemory Interface\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e160-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eMemory Bandwidth\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e360 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eMax Power Consumption\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e130W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eGraphics Bus\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003ePCI Express 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eDisplay Connectors\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eDP 1.4a (4)\u003csup data-mce-fragment=\"1\"\u003e3\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eForm Factor\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e4.4\" (H) x 9.5\"(L) Single Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eProduct Weight\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e528 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eThermal Solution\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eNVIDIA 3D Vision\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eand 3D Vision Pro\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eSupport via 3-pin mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eFrame Lock\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eCompatible (with Quadro Sync II)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eNVLink\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003eNot Supported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003cth scope=\"row\" data-mce-fragment=\"1\"\u003e\n\u003ch4 class=\"h-h6\" data-mce-fragment=\"1\"\u003eNVENC | NVDEC\u003c\/h4\u003e\n\u003c\/th\u003e\n\u003ctd class=\"h-colorGrey\" data-mce-fragment=\"1\"\u003e2x | 2x (+AV1 Encode \u0026amp; Decode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot data-mce-fragment=\"1\"\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"h-softSm h-textCenter\" colspan=\"2\" data-mce-fragment=\"1\"\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003ePerformance numbers may be subject to change until product availability.\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"h-softSm h-colorGrey\" colspan=\"2\" data-mce-fragment=\"1\"\u003e\n\u003cul class=\"h-hardLeft\" data-mce-fragment=\"1\"\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003csmall data-mce-fragment=\"1\"\u003e\u003csup data-mce-fragment=\"1\"\u003e1\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003ePeak rates are based on GPU boost clock.\u003c\/small\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003csmall data-mce-fragment=\"1\"\u003e\u003csup data-mce-fragment=\"1\"\u003e2\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eEffective FP8 TFLOPS using the new sparsity feature.\u003c\/small\u003e\u003c\/li\u003e\n\u003cli data-mce-fragment=\"1\"\u003e\u003csmall data-mce-fragment=\"1\"\u003e\u003csup data-mce-fragment=\"1\"\u003e3\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eDisplay ports are on by default for the RTX 4000 Ada Generation.\u003c\/small\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e","brand":"PNY Technologies","offers":[{"title":"Default Title","offer_id":44299508678896,"sku":"NE_751492771540","price":1449.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0606\/5094\/6800\/files\/nvidia-rtx-4000-ada-front.png?v=1697565978"},{"product_id":"pny-nvidia-rtx-pro-6000-blackwell-workstation-edition-96gb-gddr7-gpu","title":"PNY Nvidia RTX PRO 6000 Blackwell Workstation Edition 96GB GDDR7 GPU","description":"\u003ch2\u003e\u003cstrong\u003ePNY Nvidia RTX PRO 6000 Blackwell Workstation Edition\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch4\u003eTransform Workflows With the Ultimate Single-GPU Powerhouse\u003c\/h4\u003e\n\u003cp\u003eAs AI continues to advance at an incredible pace, industries face mounting pressure\u003cbr\u003eto harness its transformative power and adopt tools capable of handling generative\u003cbr\u003eAI, real-time simulation, and hyper-realistic rendering. Enterprises need solutions\u003cbr\u003ethat combine breakthrough performance, scalability, and versatility to tackle the\u003cbr\u003erise of increasingly complex workloads—from training domain-specific AI models to\u003cbr\u003erendering billion-polygon engineering designs or simulating real-world physics with\u003cbr\u003ehigher fidelity and precision.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eExperience unparalleled compute power with the NVIDIA RTX PRO™ 6000 Blackwell\u003cbr\u003eWorkstation Edition—made for professionals who demand peak performance\u003cbr\u003efor the most complex workloads. Built on the revolutionary NVIDIA Blackwell\u003cbr\u003earchitecture, the RTX PRO 6000 delivers up to 4000 TOPS of AI processing power,\u003cbr\u003eenabling lightning-fast LLM fine-tuning, real-time rendering, and precision-driven\u003cbr\u003esimulations. Equipped with 96 GB of GDDR7 memory it effortlessly handles massive\u003cbr\u003edatasets and multi-billion-parameter models while sustaining seamless multi-app\u003cbr\u003eworkflows, from developing AI assistants and photorealistic visualization to AI powered engineering simulations.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eThe RTX PRO 6000 harnesses a 600W power design to fuel the most demanding\u003cbr\u003eprofessional workloads–from fine-tuning trillion-parameter AI models to\u003cbr\u003ehyper realistic cinematic rendering and simulating computational fluid dynamics. Its\u003cbr\u003edouble-flow-through cooling system channels airflow through dual axial pathways,\u003cbr\u003edissipating heat more efficiently to maintain stability while operating compute intensive workloads. This thermal innovation ensures engineers can simulate\u003cbr\u003ephysics models uninterrupted, AI researchers can iterate on neural networks faster,\u003cbr\u003eand VFX artists can render complex scenes without performance dips.\u003cbr\u003eIdeal for AI developers, researchers, engineers, and creative professionals, the RTX\u003cbr\u003ePRO 6000 unlocks breakthroughs in real-time ray tracing, low-latency AI inference,\u003cbr\u003eand scientific modeling. Whether optimizing LLMs, developing agentic AI applications,\u003cbr\u003erendering cinematic-grade assets, or simulating hyperdetailed 3D environments, the\u003cbr\u003eRTX PRO 6000 sets a new level of desktop workstation performance.\u003c\/p\u003e\n\u003ch4\u003eBreakthrough Innovations\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Blackwell Streaming Multiprocessor: The new SM features increased\u003cbr\u003eprocessing throughput, and new neural shaders that integrate neural networks\u003cbr\u003einside of programmable shaders to drive the next decade of AI-augmented\u003cbr\u003egraphics innovations.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e5th Gen Tensor Cores: Deliver up to 3X the performance of the previous generation\u003cbr\u003eand support for FP4 precision for faster AI model processing times with reduced\u003cbr\u003ememory usage, enabling local fine-tuning of LLMs and generative AI.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e4th Gen Ray Tracing Cores: Double the ray-triangle intersection rate of the previous\u003cbr\u003egeneration to create photoreal, physically accurate scenes and immersive 3D designs\u003cbr\u003ewith RTX Mega Geometry, which enables up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eNext-Gen Video Engines: Enhance video conferencing, video production, and\u003cbr\u003estreaming workflows with real-time AI processing. 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It operates quietly even during the\u003cbr\u003emost demanding tasks, eliminating thermal throttling and maximizing productivity.\u003c\/p\u003e","brand":"PNY Technologies","offers":[{"title":"Default Title","offer_id":47722959306992,"sku":"NE-VCNRTXPRO6000B-PB","price":8499.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0606\/5094\/6800\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Workstation-Edition-3QTR-Back-Right.png?v=1750212746"},{"product_id":"pny-technologies-the-nvidia-rtx-4000-sff-ada-generation-nvidia-ada-lovelace-architecture-20gb-g","title":"Pny Technologies The Nvidia Rtx 4000 Sff Ada Generation, Nvidia Ada Lovelace Architecture, 20gb G","description":"\u003cp\u003e\u003cstrong\u003eNVIDIA RTX PRO™ 4000 Blackwell SFF Edition\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe NVIDIA RTX PRO™ 4000 Blackwell SFF Edition combines next-gen RT Cores, Tensor Cores, and CUDA® cores with 24GB of GDDR7 memory for the ultimate performance in a compact design.\u003c\/p\u003e\u003cp\u003ePeak rates are based on GPU boost clock.Effective FP8 TFLOPS using the new sparsity feature.\u003c\/p\u003e\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel:\u003c\/strong\u003e VCNRTXPRO4000BLP-PB\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e 2.7\" H x 6.6\" HHHL, Dual-Slot\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eThermal:\u003c\/strong\u003e Active Fansink\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVR Ready:\u003c\/strong\u003e Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProcess Size:\u003c\/strong\u003e 4nm NVIDIA Custom Process\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDie Size:\u003c\/strong\u003e 378 mm\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTransistors:\u003c\/strong\u003e 45.6 Billion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProduct:\u003c\/strong\u003e NVIDIA RTX PRO 4000 Blackwell SFF Edition\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePNY Part Numbers:\u003c\/strong\u003e VCNRTXPRO4000BLP-PB\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArchitecture:\u003c\/strong\u003e NVIDIA Blackwell Architecture\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFoundry:\u003c\/strong\u003e TSMC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCUDA Parallel Processing cores:\u003c\/strong\u003e 8960\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSingle-Precision Performance:\u003c\/strong\u003e 24 TFLOPS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTensor Performance:\u003c\/strong\u003e 770 AI TOPS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRT Core Performance:\u003c\/strong\u003e 73 TFLOPS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU Memory:\u003c\/strong\u003e 24 GB GDDR7 with ECC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Interface:\u003c\/strong\u003e 192-bit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e 432 GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum Power Consumption:\u003c\/strong\u003e 70W\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGraphics Bus:\u003c\/strong\u003e PCI Express 5.0 x8\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDisplay Connectors:\u003c\/strong\u003e mDP 2.1b (4)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProduct weight with ATX Bracket:\u003c\/strong\u003e .339 kg\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProduct weight with Low Profile Bracket:\u003c\/strong\u003e .327 kg\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eThermal Solution:\u003c\/strong\u003e Blower Active Fan\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA 3D Vision and 3D Vision Pro:\u003c\/strong\u003e Support via 3-pin mini DIN\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFrame lock Compatible:\u003c\/strong\u003e (with RTX PRO Sync)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Connector:\u003c\/strong\u003e N\/A\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVENC | NVDEC | JPEG:\u003c\/strong\u003e 2x | 2x | 1x\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003csmall\u003eSource: PNY product page (https:\/\/www.pny.com\/nvidia-rtx-pro-4000-sff-blackwell). Specifications are subject to change.\u003c\/small\u003e\u003c\/p\u003e","brand":"Pny Technologies","offers":[{"title":"Default Title","offer_id":47816076493040,"sku":"SY14168408","price":1372.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0606\/5094\/6800\/files\/rtx-pro-4000-sff-3qtr-left-short-bracket.png?v=1794385339"},{"product_id":"pny-technologies-nvidia-rtx-2000-ada-generation-board-only","title":"Pny Technologies Nvidia Rtx 2000 Ada Generation, Board Only","description":"\u003cp\u003e\u003cstrong\u003eNVIDIA RTX™ 2000 Ada Generation\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eGenerative AI has revolutionized creative and technical workflows, ushering in a new era of computing. Its impact spans industries, from language processing to digital biology, manufacturing, and robotics. NVIDIA RTX™ leverages AI and ray tracing to deliver unprecedented levels of realism in graphics, while DLSS 3 introduces breakthroughs in AI-powered graphics. Additionally, NVIDIA Omniverse™ Enterprise bridges the gap between physical and digital worlds, enabling software-defined industries and fostering collaboration among large, highly skilled teams.\u003c\/p\u003e\u003cp\u003eAs professionals navigate this transformative wave of generative AI and accelerated computing, equipping them with powerful solutions becomes paramount. NVIDIA RTX solutions enable professionals to harness the full potential of AI and graphics, driving innovation and pushing the boundaries of what is possible. 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Specifications are subject to change.\u003c\/small\u003e\u003c\/p\u003e","brand":"Pny Technologies","offers":[{"title":"Default Title","offer_id":47816154317040,"sku":"SY14300584","price":723.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0606\/5094\/6800\/files\/pny-nvidia-rtx-2000-ada-top.png?v=1794381393"},{"product_id":"pny-technologies-pny-geforce-rtx-5080-triple-fan","title":"Pny Technologies Pny Geforce Rtx 5080 Triple Fan","description":"\u003cp\u003eGear up for game-changing experiences with the NVIDIA GeForce RTX™ 5080 and AI-powered DLSS 4.5. Built with NVIDIA Blackwell Architecture and equipped with blistering-fast GDDR7 memory, it lets you run the most graphically demanding games and creative applications with stunning fidelity and performance. With NVIDIA Studio you can bring your creative projects to life faster than ever.\u003c\/p\u003e\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eArchitecture:\u003c\/strong\u003e Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 10,752\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBase Clock Speed:\u003c\/strong\u003e 2.30 GHz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBoost Clock Speed:\u003c\/strong\u003e 2.78 GHz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Speed (Gbps):\u003c\/strong\u003e 30\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Size:\u003c\/strong\u003e 16GB GDDR7\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Interface:\u003c\/strong\u003e 256-bit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth (GB\/sec):\u003c\/strong\u003e Up to 960 GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVLink:\u003c\/strong\u003e Not Supported\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOutputs:\u003c\/strong\u003e DisplayPort 2.1b (x3), HDMI 2.1b\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Screen:\u003c\/strong\u003e 4\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResolution:\u003c\/strong\u003e 4K at 480Hz or 8K at 165Hz with DSC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Input:\u003c\/strong\u003e One 16-Pin (One 16-pin to Three 8-pin)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBus Type:\u003c\/strong\u003e PCI-Express 5.0 x16\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCard Dimensions:\u003c\/strong\u003e 12.94\" x 5.42\" x 2.35\"; 3 Slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003csmall\u003eSource: PNY product page (https:\/\/www.pny.com\/geforce-rtx-5080-models). Specifications are subject to change. Clock speeds and TDP vary by board model and are omitted here.\u003c\/small\u003e\u003c\/p\u003e","brand":"Pny Technologies","offers":[{"title":"Default Title","offer_id":47816222441712,"sku":"SY14506596","price":1481.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0606\/5094\/6800\/files\/1-pny-rtx-5080-argb-oc-epic-x-triple-fan-logo-ra_e490876e-6332-40dc-8ac6-60f92b8dc729.png?v=1794385773"},{"product_id":"pny-technologies-pny-geforce-rtx-5090-triple-fan","title":"Pny Technologies Pny Geforce Rtx 5090 Triple Fan","description":"\u003cp\u003eThe NVIDIA GeForce RTX™ 5090 is the most powerful GeForce GPU ever made, bringing game-changing capabilities to gamers and creators. Tackle the most advanced models and most challenging creative workloads with unprecedented AI horsepower. Game with full ray tracing and the lowest latency. The GeForce RTX 5090 is powered by the NVIDIA Blackwell architecture and equipped with 32GB of super-fast GDDR7 memory, so you can do it all.\u003c\/p\u003e\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eArchitecture:\u003c\/strong\u003e Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 21,760\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Speed (Gbps):\u003c\/strong\u003e 28\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Size:\u003c\/strong\u003e 32GB GDDR7\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Interface:\u003c\/strong\u003e 512-bit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth (GB\/sec):\u003c\/strong\u003e 1792\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVLink:\u003c\/strong\u003e Not Supported\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOutputs:\u003c\/strong\u003e DisplayPort 2.1b (x3), HDMI 2.1b\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Screen:\u003c\/strong\u003e 4\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResolution:\u003c\/strong\u003e 4K at 480Hz or 8K at 165Hz with DSC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Input:\u003c\/strong\u003e 16-pin (One 16-pin to Four 8-pin)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBus Type:\u003c\/strong\u003e PCI-Express 5.0 x16\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCard Dimensions:\u003c\/strong\u003e 12.94\" x 5.42\" x 2.8\"; 3.5 Slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003csmall\u003eSource: PNY product page (https:\/\/www.pny.com\/geforce-rtx-5090-models). Specifications are subject to change. Clock speeds and TDP vary by board model and are omitted here.\u003c\/small\u003e\u003c\/p\u003e","brand":"Pny Technologies","offers":[{"title":"Default Title","offer_id":47816223555824,"sku":"SY14506597","price":3695.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0606\/5094\/6800\/files\/1-pny-rtx-5090-argb-oc-epic-x-triple-fan-ra-new.png?v=1794385773"},{"product_id":"pny-technologies-pny-geforce-rtx-5070-ti-16gb-architecture-blackwell-cuda-cores-8960-clock-spee","title":"Pny Technologies Pny Geforce Rtx 5070 Ti 16gb Architecture: Blackwell Cuda Cores: 8960 Clock Spee","description":"\u003cp\u003eGet game-changing performance with the GeForce RTX™ 5070 Ti, powered by NVIDIA Blackwell Architecture. Game at high frame rates with DLSS 4.5, supercharge your creativity with NVIDIA Studio, and enable new experiences with the power of AI.\u003c\/p\u003e\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eArchitecture:\u003c\/strong\u003e Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCUDA Cores:\u003c\/strong\u003e 8,960\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Speed (Gbps):\u003c\/strong\u003e 28\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Size:\u003c\/strong\u003e 16GB GDDR7\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Interface:\u003c\/strong\u003e 256-bit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth (GB\/sec):\u003c\/strong\u003e Up to 896\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVLink:\u003c\/strong\u003e Not Supported\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOutputs:\u003c\/strong\u003e DisplayPort 2.1b (x3), HDMI 2.1b\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Screen:\u003c\/strong\u003e 4\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResolution:\u003c\/strong\u003e 4K at 480Hz or 8K at 165Hz with DSC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Input:\u003c\/strong\u003e 16-pin (One 16-pin to Three 8-pin)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBus Type:\u003c\/strong\u003e PCI-Express 5.0 x16\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCard Dimensions:\u003c\/strong\u003e 11.80\" x 4.73\" x2.35\"; 2.98 Slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003csmall\u003eSource: PNY product page (https:\/\/www.pny.com\/geforce-rtx-5070-ti-models). 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