{"product_id":"nvidia-quadro-rtx-a4500-20gb-gddr6-graphics-card","title":"NVIDIA Quadro RTX A4500 20GB Workstation Graphic Card","description":"\u003ch2\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0); text-decoration: underline;\"\u003e\u003cstrong\u003eFeatures Of NVIDIA Quadro RTX A4500 20GB Workstation \u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003ePowerful Performance for Professionals\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHarness the power of real-time ray tracing, simulation, and AI from your desktop with the NVIDIA Quadro RTX A4500 graphics card. Built on the NVIDIA Ampere architecture and featuring 20 GB of GPU memory, designers, engineers, and creators can push the limits of innovation forward, working interactively with complex models and datasets.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003ePOWERED BY THE NVIDIA AMPERE ARCHITECTURE\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eNVIDIA Ampere Architecture-Based CUDA Cores\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAccelerate graphics workflows with the latest CUDA® cores for up to 2X single-precision floating-point (FP32) performance compared to the previous generation architecture.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eSecond-Generation RT Cores\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eProduce more visually accurate renders faster with hardware-accelerated ray tracing and motion blur, with up to 2X faster performance than the previous generation architecture.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eThird-Generation Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBoost AI and data science model training performance compared to the previous generation with support for TF32 precision and structural sparsity while bringing advanced capabilities like AI denoising, DLSS, and more to graphics workflows.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e20 GB of GPU Memory\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eTackle memory-intensive workloads, from virtual production to engineering simulation, with 20 GB of GDDR6 memory with ECC.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eThird-Generation NVIDIA NVLink\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eScale memory and performance across multiple GPUs with NVIDIA® NVLink™ to tackle larger datasets, models, and scenes.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003ePCI Express Gen 4\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eImprove data-transfer speeds from CPU memory for data-intensive tasks with support for PCI Express Gen 4.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003ePower Efficiency\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eLeverage a dual-slot, power- efficient design crafted to fit a wide range of workstations.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eMulti-GPU Scalability\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003ch3\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eNVIDIA NVLINK BRIDGE\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eNVLink enables professional applications to quickly and easily scale memory and performance with multi-GPU configurations. NVIDIA NVLink Bridges allow you to connect two RTX A4500s. Delivering up to 112 gigabytes per second (GB\/s) of bandwidth and a combined 40GB of GDDR6 memory to tackle memory-intensive workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0); text-decoration: underline;\"\u003e\u003cstrong\u003eSpecifications Of NVIDIA Quadro RTX A4500 20GB Workstation \u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable cellpadding=\"0\" cellspacing=\"0\" border=\"1\" dir=\"ltr\"\u003e\n\u003ccolgroup\u003e \u003ccol width=\"218\"\u003e \u003ccol width=\"409\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Weight\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eWeight\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\".500 kg\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e.500 kg\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"BRANDS\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eBRANDS\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-hyperlink=\"https:\/\/gamesncomps.com\/brands\/nvidia\/\" data-sheets-value='{\"1\":2,\"2\":\"NVIDIA\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/gamesncomps.com\/brands\/nvidia\/\" style=\"color: #000000;\" class=\"in-cell-link\" target=\"_blank\"\u003eNVIDIA\u003c\/a\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"GPU memory\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eGPU memory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"20 GB GDDR6\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e20 GB GDDR6\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Memory interface\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eMemory interface\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"320-bit\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e320-bit\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Memory bandwidth\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eMemory bandwidth\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"640 GB\/s\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e640 GB\/s\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Error-correcting code (ECC)\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eError-correcting code (ECC)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Yes\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eYes\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"NVIDIA Ampere architecturebased CUDA Cores\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eNVIDIA Ampere architecturebased CUDA Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-numberformat='{\"1\":2,\"2\":\"#,##0\",\"3\":1}' data-sheets-value='{\"1\":3,\"3\":7168}'\u003e\u003cspan style=\"color: #000000;\"\u003e7,168\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"NVIDIA third-generation Tensor Cores\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eNVIDIA third-generation Tensor Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":3,\"3\":224}'\u003e\u003cspan style=\"color: #000000;\"\u003e224\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"NVIDIA second-generation RT Cores\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eNVIDIA second-generation RT Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":3,\"3\":56}'\u003e\u003cspan style=\"color: #000000;\"\u003e56\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Single-precision performance\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eSingle-precision performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"23.7 TFLOPS5\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e23.7 TFLOPS5\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"RT Core performance\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eRT Core performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"46.2 TFLOPS5\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e46.2 TFLOPS5\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Tensor performance\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eTensor performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"189.2 TFLOPS6\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e189.2 TFLOPS6\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"NVIDIA NVLink\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eNVIDIA NVLink\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Low profile bridges connect two NVIDIA RTX A4500 GPUs1\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eLow profile bridges connect two NVIDIA RTX A4500 GPUs1\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"NVIDIA NVLink bandwidth\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eNVIDIA NVLink bandwidth\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"112.5 GB\/s (bidirectional)\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e112.5 GB\/s (bidirectional)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"System interface\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eSystem interface\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"PCI Express 4.0 x16\"}'\u003e\u003cspan style=\"color: #000000;\"\u003ePCI Express 4.0 x16\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Power consumption\"}'\u003e\u003cspan style=\"color: #000000;\"\u003ePower consumption\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Total board power: 200 W\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eTotal board power: 200 W\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Thermal solution\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eThermal solution\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Active\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eActive\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Form factor\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eForm factor\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"4.4” H x 10.5” L, dual slot, full height\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e4.4” H x 10.5” L, dual slot, full height\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Display connectors\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eDisplay connectors\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"4x DisplayPort 1.4\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e4x DisplayPort 1.4\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Max simultaneous displays\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eMax simultaneous displays\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"4x 4096 x 2160 @ 120 Hz,n4x 5120 x 2880 @ 60 Hz,n2x 7680 x 4320 @ 60 Hz\"}'\u003e\n\u003cspan style=\"color: #000000;\"\u003e4x 4096 x 2160 @ 120 Hz,\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #000000;\"\u003e4x 5120 x 2880 @ 60 Hz,\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #000000;\"\u003e2x 7680 x 4320 @ 60 Hz\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Power connector\"}'\u003e\u003cspan style=\"color: #000000;\"\u003ePower connector\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"1x 8-pin PCIe\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e1x 8-pin PCIe\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Encode\/decode engines\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eEncode\/decode engines\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"1x encode, 1x decode (+AV1 decode)\"}'\u003e\u003cspan style=\"color: #000000;\"\u003e1x encode, 1x decode (+AV1 decode)\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"VR ready\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eVR ready\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Yes\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eYes\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Graphics APIs\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eGraphics APIs\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"DirectX 12.077, Shader Model 5.177, OpenGL 4.688, Vulkan 1.28\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eDirectX 12.077, Shader Model 5.177, OpenGL 4.688, Vulkan 1.28\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"Compute APIs\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eCompute APIs\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd data-sheets-value='{\"1\":2,\"2\":\"CUDA, DirectCompute,OpenCL™\"}'\u003e\u003cspan style=\"color: #000000;\"\u003eCUDA, DirectCompute,OpenCL™\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47028195918016,"sku":"Nvidia-Quadro-GeForce RTX-A4500-20GB-","price":103591.3,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/6251\/7952\/files\/ezgif.com-gif-maker-2022-01-06T181208.848.webp?v=1762464845","url":"https:\/\/www.braintechpc.in\/products\/nvidia-quadro-rtx-a4500-20gb-gddr6-graphics-card","provider":"brain tech","version":"1.0","type":"link"}