{"product_id":"0-g9b318132","title":"Original for N-V IDIAxx Tesla V100 16GB 32GB GPU Tesla V100 PCIe 16GB HBM2 GPU Card Graphics Tesla V100 16GB 32GB","description":"\u003cp data-start=\"177\" data-end=\"320\"\u003eOriginal NVIDIA Tesla V100 GPU card: PCIe, 16\/32 GB HBM2 memory, 300 W TDP. Perfect for AI training, HPC, and deep learning. UAE-wide delivery!\u003c\/p\u003e\n\u003chr data-start=\"322\" data-end=\"325\"\u003e\n\u003ch3 data-start=\"327\" data-end=\"341\"\u003eOverview\u003c\/h3\u003e\n\u003cp data-start=\"342\" data-end=\"681\"\u003eUnleash blistering compute with the \u003cstrong data-start=\"378\" data-end=\"399\"\u003eNVIDIA Tesla V100\u003c\/strong\u003e. Whether you choose \u003cstrong data-start=\"420\" data-end=\"429\"\u003e16 GB\u003c\/strong\u003e or \u003cstrong data-start=\"433\" data-end=\"442\"\u003e32 GB\u003c\/strong\u003e of ultra-fast HBM2 memory, this PCIe GPU card accelerates AI training, scientific simulations, and high-performance computing. Its 300 W thermal envelope and voluminous memory deliver massive parallelism for your most demanding workloads.\u003c\/p\u003e\n\u003chr data-start=\"683\" data-end=\"686\"\u003e\n\u003ch3 data-start=\"688\" data-end=\"713\"\u003eProduct Description\u003c\/h3\u003e\n\u003cp data-start=\"714\" data-end=\"1113\"\u003eBuilt on the NVIDIA Volta™ architecture, the Tesla V100 packs 5 120 CUDA® cores and 640 Tensor cores for 120 TFLOPS of mixed-precision performance. The PCIe form-factor fits any standard server slot, while dual-slot cooling keeps it stable under continuous load. With ECC-protected HBM2 memory and hardware monitoring, it ensures both reliability and performance for data-center and workstation use.\u003c\/p\u003e\n\u003chr data-start=\"1115\" data-end=\"1118\"\u003e\n\u003ch3 data-start=\"1120\" data-end=\"1138\"\u003eKey Features\u003c\/h3\u003e\n\u003cul data-start=\"1139\" data-end=\"1536\"\u003e\n\u003cli data-start=\"1139\" data-end=\"1197\"\u003e\n\u003cp data-start=\"1141\" data-end=\"1197\"\u003e\u003cstrong data-start=\"1141\" data-end=\"1165\"\u003eCUDA \u0026amp; Tensor Cores:\u003c\/strong\u003e 5 120 CUDA + 640 Tensor cores\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1198\" data-end=\"1255\"\u003e\n\u003cp data-start=\"1200\" data-end=\"1255\"\u003e\u003cstrong data-start=\"1200\" data-end=\"1219\"\u003eMemory Options:\u003c\/strong\u003e 16 GB or 32 GB HBM2 ECC-protected\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1256\" data-end=\"1287\"\u003e\n\u003cp data-start=\"1258\" data-end=\"1287\"\u003e\u003cstrong data-start=\"1258\" data-end=\"1272\"\u003eInterface:\u003c\/strong\u003e PCIe 3.0 x16\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1288\" data-end=\"1335\"\u003e\n\u003cp data-start=\"1290\" data-end=\"1335\"\u003e\u003cstrong data-start=\"1290\" data-end=\"1311\"\u003eDouble Precision:\u003c\/strong\u003e Up to 7.8 TFLOPS FP64\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1336\" data-end=\"1354\"\u003e\n\u003cp data-start=\"1338\" data-end=\"1354\"\u003e\u003cstrong data-start=\"1338\" data-end=\"1346\"\u003eTDP:\u003c\/strong\u003e 300 W\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1355\" data-end=\"1424\"\u003e\n\u003cp data-start=\"1357\" data-end=\"1424\"\u003e\u003cstrong data-start=\"1357\" data-end=\"1374\"\u003eNVLink Ready:\u003c\/strong\u003e Scale across multiple GPUs (with NVLink bridge)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1425\" data-end=\"1482\"\u003e\n\u003cp data-start=\"1427\" data-end=\"1482\"\u003e\u003cstrong data-start=\"1427\" data-end=\"1439\"\u003eCooling:\u003c\/strong\u003e Dual-slot active fan for optimal airflow\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1483\" data-end=\"1536\"\u003e\n\u003cp data-start=\"1485\" data-end=\"1536\"\u003e\u003cstrong data-start=\"1485\" data-end=\"1501\"\u003eForm Factor:\u003c\/strong\u003e Full-height, half-length PCIe card\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"1538\" data-end=\"1541\"\u003e\n\u003ch3 data-start=\"1543\" data-end=\"1563\"\u003eSpecifications\u003c\/h3\u003e\n\u003cdiv class=\"_tableContainer_80l1q_1\"\u003e\n\u003cdiv class=\"_tableWrapper_80l1q_14 group flex w-fit flex-col-reverse\" tabindex=\"-1\"\u003e\n\u003ctable data-start=\"1565\" data-end=\"2446\" class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead data-start=\"1565\" data-end=\"1627\"\u003e\n\u003ctr data-start=\"1565\" data-end=\"1627\"\u003e\n\u003cth data-start=\"1565\" data-end=\"1590\" data-col-size=\"sm\"\u003eSpec\u003c\/th\u003e\n\u003cth data-start=\"1590\" data-end=\"1627\" data-col-size=\"sm\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody data-start=\"1691\" data-end=\"2446\"\u003e\n\u003ctr data-start=\"1691\" data-end=\"1753\"\u003e\n\u003ctd data-start=\"1691\" data-end=\"1716\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"1693\" data-end=\"1709\"\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"sm\" data-start=\"1716\" data-end=\"1753\"\u003eNVIDIA Volta™\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1754\" data-end=\"1816\"\u003e\n\u003ctd data-start=\"1754\" data-end=\"1779\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"1756\" data-end=\"1770\"\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"sm\" data-start=\"1779\" data-end=\"1816\"\u003e5 120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1817\" data-end=\"1879\"\u003e\n\u003ctd data-start=\"1817\" data-end=\"1842\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"1819\" data-end=\"1835\"\u003eTensor Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"1842\" data-end=\"1879\" data-col-size=\"sm\"\u003e640\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1880\" data-end=\"1942\"\u003e\n\u003ctd data-start=\"1880\" data-end=\"1905\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"1882\" data-end=\"1902\"\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-col-size=\"sm\" data-start=\"1905\" data-end=\"1942\"\u003e900 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"1943\" data-end=\"2005\"\u003e\n\u003ctd data-start=\"1943\" data-end=\"1968\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"1945\" data-end=\"1960\"\u003eMemory Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"1968\" data-end=\"2005\" data-col-size=\"sm\"\u003eHBM2 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data-start=\"2157\" data-end=\"2194\" data-col-size=\"sm\"\u003e7.8 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2195\" data-end=\"2257\"\u003e\n\u003ctd data-start=\"2195\" data-end=\"2220\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2197\" data-end=\"2212\"\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2220\" data-end=\"2257\" data-col-size=\"sm\"\u003eFull-height, half-length\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2258\" data-end=\"2320\"\u003e\n\u003ctd data-start=\"2258\" data-end=\"2283\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2260\" data-end=\"2269\"\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2283\" data-end=\"2320\" data-col-size=\"sm\"\u003e300 W TDP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2321\" data-end=\"2383\"\u003e\n\u003ctd data-start=\"2321\" data-end=\"2346\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2323\" 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4.80371C18.1657 5.25395 18.165 5.81091 18.165 6.5V9.33301Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003c\/button\u003e\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr data-start=\"2448\" data-end=\"2451\"\u003e\n\u003ch3 data-start=\"2453\" data-end=\"2494\"\u003eSupported Applications \u0026amp; Industries\u003c\/h3\u003e\n\u003cul data-start=\"2495\" data-end=\"2714\"\u003e\n\u003cli data-start=\"2495\" data-end=\"2549\"\u003e\n\u003cp data-start=\"2497\" data-end=\"2549\"\u003e\u003cstrong data-start=\"2497\" data-end=\"2520\"\u003eAI \u0026amp; Deep Learning:\u003c\/strong\u003e TensorFlow, PyTorch, MXNet\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2550\" data-end=\"2600\"\u003e\n\u003cp data-start=\"2552\" data-end=\"2600\"\u003e\u003cstrong data-start=\"2552\" data-end=\"2573\"\u003eHPC \u0026amp; Simulation:\u003c\/strong\u003e ANSYS, GROMACS, OpenFOAM\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2601\" data-end=\"2644\"\u003e\n\u003cp data-start=\"2603\" data-end=\"2644\"\u003e\u003cstrong data-start=\"2603\" data-end=\"2622\"\u003eData Analytics:\u003c\/strong\u003e RAPIDS, MATLAB, SAS\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2645\" data-end=\"2714\"\u003e\n\u003cp data-start=\"2647\" data-end=\"2714\"\u003e\u003cstrong data-start=\"2647\" data-end=\"2662\"\u003eIndustries:\u003c\/strong\u003e Research, finance, healthcare, oil \u0026amp; gas, logistics\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"2716\" data-end=\"2719\"\u003e\n\u003ch3 data-start=\"2721\" data-end=\"2751\"\u003eBenefits \u0026amp; Compatibility\u003c\/h3\u003e\n\u003cul data-start=\"2752\" data-end=\"3055\"\u003e\n\u003cli data-start=\"2752\" data-end=\"2819\"\u003e\n\u003cp data-start=\"2754\" data-end=\"2819\"\u003e\u003cstrong data-start=\"2754\" data-end=\"2777\"\u003eMassive Throughput:\u003c\/strong\u003e Tensor cores speed up matrix ops by 12×\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2820\" data-end=\"2882\"\u003e\n\u003cp data-start=\"2822\" data-end=\"2882\"\u003e\u003cstrong data-start=\"2822\" data-end=\"2839\"\u003eLarge Models:\u003c\/strong\u003e Up to 32 GB memory for giant neural nets\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2883\" data-end=\"2936\"\u003e\n\u003cp data-start=\"2885\" data-end=\"2936\"\u003e\u003cstrong data-start=\"2885\" data-end=\"2902\"\u003eServer-Ready:\u003c\/strong\u003e PCIe plug-and-play in x16 slots\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2937\" data-end=\"2993\"\u003e\n\u003cp data-start=\"2939\" data-end=\"2993\"\u003e\u003cstrong data-start=\"2939\" data-end=\"2952\"\u003eScalable:\u003c\/strong\u003e Link multiple cards via NVLink bridges\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2994\" data-end=\"3055\"\u003e\n\u003cp data-start=\"2996\" data-end=\"3055\"\u003e\u003cstrong data-start=\"2996\" data-end=\"3020\"\u003eTrusted Reliability:\u003c\/strong\u003e ECC memory and hardware monitoring\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"3057\" data-end=\"3060\"\u003e\n\u003ch3 data-start=\"3062\" data-end=\"3082\"\u003ePurpose of Use\u003c\/h3\u003e\n\u003cp data-start=\"3083\" data-end=\"3252\"\u003eAccelerate AI training, inference, and scientific computation. Ideal for data centers, research labs, or any environment seeking to crush large-scale parallel workloads.\u003c\/p\u003e\n\u003chr data-start=\"3254\" data-end=\"3257\"\u003e\n\u003ch3 data-start=\"3259\" data-end=\"3275\"\u003eHow to Use\u003c\/h3\u003e\n\u003col data-start=\"3276\" data-end=\"3558\"\u003e\n\u003cli data-start=\"3276\" data-end=\"3326\"\u003e\n\u003cp data-start=\"3279\" data-end=\"3326\"\u003ePower down server and unlock PCIe slot latch.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3327\" data-end=\"3389\"\u003e\n\u003cp data-start=\"3330\" data-end=\"3389\"\u003eInsert V100 into a PCIe 3.0 x16 slot until firmly seated.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3390\" data-end=\"3437\"\u003e\n\u003cp data-start=\"3393\" data-end=\"3437\"\u003eSecure bracket and reconnect power cables.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3438\" data-end=\"3496\"\u003e\n\u003cp data-start=\"3441\" data-end=\"3496\"\u003eBoot system and install NVIDIA driver \u0026amp; CUDA toolkit.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3497\" data-end=\"3558\"\u003e\n\u003cp data-start=\"3500\" data-end=\"3558\"\u003eVerify GPU with \u003ccode data-start=\"3516\" data-end=\"3528\"\u003envidia-smi\u003c\/code\u003e and launch your compute jobs.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003chr data-start=\"3560\" data-end=\"3563\"\u003e\n\u003ch3 data-start=\"3565\" data-end=\"3602\"\u003ePackaging \/ Weight \/ Dimensions\u003c\/h3\u003e\n\u003cul data-start=\"3603\" data-end=\"3740\"\u003e\n\u003cli data-start=\"3603\" data-end=\"3670\"\u003e\n\u003cp data-start=\"3605\" data-end=\"3670\"\u003e\u003cstrong data-start=\"3605\" data-end=\"3618\"\u003eIncludes:\u003c\/strong\u003e Tesla V100 card, quick-start guide, NVLink covers\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3671\" data-end=\"3716\"\u003e\n\u003cp data-start=\"3673\" data-end=\"3716\"\u003e\u003cstrong data-start=\"3673\" data-end=\"3688\"\u003eDimensions:\u003c\/strong\u003e 267 × 111 × 40 mm (L×H×W)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3717\" data-end=\"3740\"\u003e\n\u003cp data-start=\"3719\" data-end=\"3740\"\u003e\u003cstrong data-start=\"3719\" data-end=\"3730\"\u003eWeight:\u003c\/strong\u003e ~1.4 kg\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"3742\" data-end=\"3745\"\u003e\n\u003ch3 data-start=\"3747\" data-end=\"3768\"\u003eWarranty \u0026amp; FAQs\u003c\/h3\u003e\n\u003cp data-start=\"3769\" data-end=\"3840\"\u003e\u003cstrong data-start=\"3769\" data-end=\"3782\"\u003eWarranty:\u003c\/strong\u003e 3-year hardware warranty through NVIDIA\/HPE\u003cbr data-start=\"3826\" data-end=\"3829\"\u003e\u003cstrong data-start=\"3829\" data-end=\"3838\"\u003eFAQs:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3841\" data-end=\"4072\"\u003e\n\u003cli data-start=\"3841\" data-end=\"3922\"\u003e\n\u003cp data-start=\"3843\" data-end=\"3922\"\u003e\u003cstrong data-start=\"3843\" data-end=\"3864\"\u003eCan I link cards?\u003c\/strong\u003e Yes—use NVLink bridges for high-bandwidth GPU clusters.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3923\" data-end=\"4008\"\u003e\n\u003cp data-start=\"3925\" data-end=\"4008\"\u003e\u003cstrong data-start=\"3925\" data-end=\"3944\"\u003eDriver support?\u003c\/strong\u003e Compatible with R450+ Linux drivers and Windows Server 2016+.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"4009\" data-end=\"4072\"\u003e\n\u003cp data-start=\"4011\" data-end=\"4072\"\u003e\u003cstrong data-start=\"4011\" data-end=\"4028\"\u003ePower cables?\u003c\/strong\u003e Requires two 8-pin PCIe power connectors.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"4074\" data-end=\"4077\"\u003e\n\u003ch3 data-start=\"4079\" data-end=\"4131\"\u003ePerformance, Quality, Durability \u0026amp; Reliability\u003c\/h3\u003e\n\u003cp data-start=\"4132\" data-end=\"4295\"\u003eEngineered for 24×7 operation in data-center environments. Comes with thermal sensors, power monitoring, and ECC memory to ensure continuous, error-free operation.\u003c\/p\u003e\n\u003chr data-start=\"4297\" data-end=\"4300\"\u003e\n\u003ch3 data-start=\"4302\" data-end=\"4328\"\u003eBest Price Guarantee\u003c\/h3\u003e\n\u003cp data-start=\"4329\" data-end=\"4418\"\u003eFound a lower price on an identical Tesla V100 card? We’ll match it—shop with confidence.\u003c\/p\u003e\n\u003chr data-start=\"4420\" data-end=\"4423\"\u003e\n\u003ch3 data-start=\"4425\" data-end=\"4481\"\u003eShop Today \u0026amp; Receive Your Delivery Across the UAE!\u003c\/h3\u003e\n\u003cp data-start=\"4482\" data-end=\"4579\"\u003eFast dispatch to Dubai, Abu Dhabi, Sharjah, and beyond. Single or bulk orders ship within 24 hrs.\u003c\/p\u003e\n\u003chr data-start=\"4581\" data-end=\"4584\"\u003e\n\u003ch3 data-start=\"4586\" data-end=\"4637\"\u003eRequest for Customer Reviews and Testimonials\u003c\/h3\u003e\n\u003cp data-start=\"4638\" data-end=\"4737\"\u003eDeployed the Tesla V100? Drop a quick review to help peers choose the best GPU for their workloads!\u003c\/p\u003e\n\u003chr data-start=\"4739\" data-end=\"4742\"\u003e\n\u003ch3 data-start=\"4744\" data-end=\"4769\"\u003eAfter-Sales Support\u003c\/h3\u003e\n\u003cp data-start=\"4770\" data-end=\"4881\"\u003eOur GPU experts are on call 24\/7 via chat, email, or phone for driver help, cluster setup, and troubleshooting.\u003c\/p\u003e\n\u003chr data-start=\"4883\" data-end=\"4886\"\u003e\n\u003ch3 data-start=\"4888\" data-end=\"4906\"\u003eGet in Touch\u003c\/h3\u003e\n\u003cp data-start=\"4907\" data-end=\"5051\"\u003eNeed volume quotes, cluster design assistance, or pro-services? Reach out anytime on our \u003ca data-start=\"4996\" data-end=\"5050\" rel=\"noopener\" class=\"cursor-pointer\"\u003eContact Page\u003c\/a\u003e.\u003c\/p\u003e\n\u003chr data-start=\"5053\" data-end=\"5056\"\u003e\n\u003ch3 data-start=\"5058\" data-end=\"5082\"\u003eStock Availability\u003c\/h3\u003e\n\u003cp data-start=\"5083\" data-end=\"5197\"\u003eTypically in stock for immediate dispatch. For urgent or bulk orders, please confirm availability before checkout.\u003c\/p\u003e\n\u003chr data-start=\"5199\" data-end=\"5202\"\u003e\n\u003ch3 data-start=\"5204\" data-end=\"5220\"\u003eDisclaimer\u003c\/h3\u003e\n\u003cp data-start=\"5221\" data-end=\"5366\"\u003eSpecifications and pricing subject to change without notice. Images are illustrative. Verify final details with our sales team prior to purchase.\u003c\/p\u003e","brand":"NEO Digital","offers":[{"title":"Default Title","offer_id":42452889632829,"sku":null,"price":0.0,"currency_code":"AED","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0596\/3235\/3341\/files\/pixelcut-export_-_2025-07-06T221628.998.jpg?v=1751865634","url":"https:\/\/neolyn.ae\/products\/0-g9b318132","provider":"NEOLYN ","version":"1.0","type":"link"}