{"product_id":"0-gbfac38cc","title":"AI Inference Server with Tensor Core GPUs","description":"\u003cp data-start=\"178\" data-end=\"309\"\u003eDeploy AI models at scale with our Tensor Core GPU server—NVIDIA A100, 512 GB RAM, 8× 10 GbE, NVMe. Fast UAE delivery. Order today!\u003c\/p\u003e\n\u003chr data-start=\"311\" data-end=\"314\"\u003e\n\u003ch2 data-start=\"316\" data-end=\"329\"\u003eOverview\u003c\/h2\u003e\n\u003cp data-start=\"330\" data-end=\"661\"\u003eFuel real-time AI inference with our dedicated server powered by NVIDIA Tensor Core GPUs. Equipped with dual Intel® Xeon® CPUs, up to four NVIDIA A100 GPUs, and 512 GB DDR4 ECC RAM, it delivers sub-millisecond latency for vision, speech, and recommendation engines. Scalable, energy-efficient, and built for data-center deployment.\u003c\/p\u003e\n\u003chr data-start=\"663\" data-end=\"666\"\u003e\n\u003ch2 data-start=\"668\" data-end=\"692\"\u003eProduct Description\u003c\/h2\u003e\n\u003cp data-start=\"693\" data-end=\"1234\"\u003eThis AI Inference Server integrates four NVIDIA A100 Tensor Core GPUs in a 2U chassis, delivering up to 312 TeraFLOPS of mixed-precision throughput. Dual Intel® Xeon® Scalable processors handle I\/O and preprocessing tasks, while 512 GB DDR4 ECC memory and 8 × 1 TB NVMe drives ensure fast data access. Eight 10 GbE ports provide high-speed connectivity for model serving and data ingestion. Remote management via IPMI and iDRAC9 simplifies updates and monitoring. Ideal for deploying TensorFlow, PyTorch, ONNX, and Triton workloads at scale.\u003c\/p\u003e\n\u003chr data-start=\"1236\" data-end=\"1239\"\u003e\n\u003ch2 data-start=\"1241\" data-end=\"1258\"\u003eKey Features\u003c\/h2\u003e\n\u003cul data-start=\"1259\" data-end=\"1514\"\u003e\n\u003cli data-start=\"1259\" data-end=\"1300\"\u003e\n\u003cp data-start=\"1261\" data-end=\"1300\"\u003eUp to 4 × NVIDIA A100 40 GB PCIe GPUs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1301\" data-end=\"1352\"\u003e\n\u003cp data-start=\"1303\" data-end=\"1352\"\u003eDual Intel® Xeon® Scalable CPUs (24 cores each)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1353\" data-end=\"1376\"\u003e\n\u003cp data-start=\"1355\" data-end=\"1376\"\u003e512 GB DDR4 ECC RAM\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1377\" data-end=\"1408\"\u003e\n\u003cp data-start=\"1379\" data-end=\"1408\"\u003e8 × 1 TB NVMe hot-swap SSDs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1409\" data-end=\"1443\"\u003e\n\u003cp data-start=\"1411\" data-end=\"1443\"\u003e8 × 10 GbE RJ-45 network ports\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1444\" data-end=\"1479\"\u003e\n\u003cp data-start=\"1446\" data-end=\"1479\"\u003eIPMI \u0026amp; iDRAC9 remote management\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1480\" data-end=\"1514\"\u003e\n\u003cp data-start=\"1482\" data-end=\"1514\"\u003eRedundant 1600 W Titanium PSUs\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"1516\" data-end=\"1519\"\u003e\n\u003ch2 data-start=\"1521\" data-end=\"1540\"\u003eSpecifications\u003c\/h2\u003e\n\u003cul data-start=\"1541\" data-end=\"1934\"\u003e\n\u003cli data-start=\"1541\" data-end=\"1577\"\u003e\n\u003cp data-start=\"1543\" data-end=\"1577\"\u003e\u003cstrong data-start=\"1543\" data-end=\"1559\"\u003eForm Factor:\u003c\/strong\u003e 2U rack chassis\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1578\" data-end=\"1632\"\u003e\n\u003cp data-start=\"1580\" data-end=\"1632\"\u003e\u003cstrong data-start=\"1580\" data-end=\"1589\"\u003eGPUs:\u003c\/strong\u003e 4 × NVIDIA A100 Tensor Core (40 GB each)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1633\" data-end=\"1691\"\u003e\n\u003cp data-start=\"1635\" data-end=\"1691\"\u003e\u003cstrong data-start=\"1635\" data-end=\"1644\"\u003eCPUs:\u003c\/strong\u003e 2 × Intel® Xeon® Scalable (up to 205 W each)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1692\" data-end=\"1746\"\u003e\n\u003cp data-start=\"1694\" data-end=\"1746\"\u003e\u003cstrong data-start=\"1694\" data-end=\"1705\"\u003eMemory:\u003c\/strong\u003e 16 × DDR4 ECC DIMM slots, up to 512 GB\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1747\" data-end=\"1796\"\u003e\n\u003cp data-start=\"1749\" data-end=\"1796\"\u003e\u003cstrong data-start=\"1749\" data-end=\"1761\"\u003eStorage:\u003c\/strong\u003e 8 × 1 TB NVMe SSD, RAID 0\/1\/5\/10\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1797\" data-end=\"1839\"\u003e\n\u003cp data-start=\"1799\" data-end=\"1839\"\u003e\u003cstrong data-start=\"1799\" data-end=\"1814\"\u003eNetworking:\u003c\/strong\u003e 8 × 10 GbE RJ-45 ports\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1840\" data-end=\"1891\"\u003e\n\u003cp data-start=\"1842\" data-end=\"1891\"\u003e\u003cstrong data-start=\"1842\" data-end=\"1852\"\u003ePower:\u003c\/strong\u003e 2 × 1600 W Titanium PSUs (redundant)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1892\" data-end=\"1934\"\u003e\n\u003cp data-start=\"1894\" data-end=\"1934\"\u003e\u003cstrong data-start=\"1894\" data-end=\"1909\"\u003eManagement:\u003c\/strong\u003e IPMI 2.0, iDRAC9, SNMP\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"1936\" data-end=\"1939\"\u003e\n\u003ch2 data-start=\"1941\" data-end=\"1986\"\u003eSupported OS \/ Applications \/ Industries\u003c\/h2\u003e\n\u003cul data-start=\"1987\" data-end=\"2182\"\u003e\n\u003cli data-start=\"1987\" data-end=\"2039\"\u003e\n\u003cp data-start=\"1989\" data-end=\"2039\"\u003e\u003cstrong data-start=\"1989\" data-end=\"1996\"\u003eOS:\u003c\/strong\u003e Ubuntu Server, CentOS, RHEL, VMware ESXi\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2040\" data-end=\"2100\"\u003e\n\u003cp data-start=\"2042\" data-end=\"2100\"\u003e\u003cstrong data-start=\"2042\" data-end=\"2057\"\u003eFrameworks:\u003c\/strong\u003e TensorFlow, PyTorch, MXNet, ONNX, Triton\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2101\" data-end=\"2182\"\u003e\n\u003cp data-start=\"2103\" data-end=\"2182\"\u003e\u003cstrong data-start=\"2103\" data-end=\"2118\"\u003eIndustries:\u003c\/strong\u003e AI services, autonomous vehicles, healthcare imaging, finance\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"2184\" data-end=\"2187\"\u003e\n\u003ch2 data-start=\"2189\" data-end=\"2218\"\u003eBenefits \u0026amp; Compatibility\u003c\/h2\u003e\n\u003cul data-start=\"2219\" data-end=\"2412\"\u003e\n\u003cli data-start=\"2219\" data-end=\"2271\"\u003e\n\u003cp data-start=\"2221\" data-end=\"2271\"\u003eScales deep-learning inference with Tensor Cores\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2272\" data-end=\"2320\"\u003e\n\u003cp data-start=\"2274\" data-end=\"2320\"\u003eLowers latency for real-time AI applications\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2321\" data-end=\"2360\"\u003e\n\u003cp data-start=\"2323\" data-end=\"2360\"\u003eFits standard 19″ data-center racks\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2361\" data-end=\"2412\"\u003e\n\u003cp data-start=\"2363\" data-end=\"2412\"\u003eIntegrates with Kubernetes and ML ops pipelines\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"2414\" data-end=\"2417\"\u003e\n\u003ch2 data-start=\"2419\" data-end=\"2438\"\u003ePurpose of Use\u003c\/h2\u003e\n\u003cp data-start=\"2439\" data-end=\"2598\"\u003eDeploy production AI inference workloads—computer vision, natural language processing, recommendation systems, and time-series forecasting—at enterprise scale.\u003c\/p\u003e\n\u003chr data-start=\"2600\" data-end=\"2603\"\u003e\n\u003ch2 data-start=\"2605\" data-end=\"2620\"\u003eHow to Use\u003c\/h2\u003e\n\u003col data-start=\"2621\" data-end=\"2861\"\u003e\n\u003cli data-start=\"2621\" data-end=\"2661\"\u003e\n\u003cp data-start=\"2624\" data-end=\"2661\"\u003eRack-mount the server in a 19″ bay.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2662\" data-end=\"2703\"\u003e\n\u003cp data-start=\"2665\" data-end=\"2703\"\u003eConnect to power and 10 GbE network.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2704\" data-end=\"2765\"\u003e\n\u003cp data-start=\"2707\" data-end=\"2765\"\u003eUse iDRAC9 for BIOS, firmware, and GPU firmware updates.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2766\" data-end=\"2861\"\u003e\n\u003cp data-start=\"2769\" data-end=\"2861\"\u003eInstall your AI stack (CUDA, cuDNN, frameworks) and deploy models via Triton or custom APIs.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003chr data-start=\"2863\" data-end=\"2866\"\u003e\n\u003ch2 data-start=\"2868\" data-end=\"2904\"\u003ePackaging \/ Weight \/ Dimensions\u003c\/h2\u003e\n\u003cul data-start=\"2905\" data-end=\"3065\"\u003e\n\u003cli data-start=\"2905\" data-end=\"2954\"\u003e\n\u003cp data-start=\"2907\" data-end=\"2954\"\u003e\u003cstrong data-start=\"2907\" data-end=\"2922\"\u003eDimensions:\u003c\/strong\u003e 89 mm H × 438 mm W × 800 mm D\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2955\" data-end=\"2992\"\u003e\n\u003cp data-start=\"2957\" data-end=\"2992\"\u003e\u003cstrong data-start=\"2957\" data-end=\"2968\"\u003eWeight:\u003c\/strong\u003e ~35 kg (fully loaded)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2993\" data-end=\"3065\"\u003e\n\u003cp data-start=\"2995\" data-end=\"3065\"\u003e\u003cstrong data-start=\"2995\" data-end=\"3009\"\u003ePackaging:\u003c\/strong\u003e Anti-static wrap, foam-lined crate, quick-start guide\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"3067\" data-end=\"3070\"\u003e\n\u003ch2 data-start=\"3072\" data-end=\"3092\"\u003eWarranty \u0026amp; FAQs\u003c\/h2\u003e\n\u003cul data-start=\"3093\" data-end=\"3143\"\u003e\n\u003cli data-start=\"3093\" data-end=\"3143\"\u003e\n\u003cp data-start=\"3095\" data-end=\"3143\"\u003e\u003cstrong data-start=\"3095\" data-end=\"3108\"\u003eWarranty:\u003c\/strong\u003e 3-Year Limited Hardware Warranty\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"3145\" data-end=\"3155\"\u003e\u003cstrong data-start=\"3145\" data-end=\"3153\"\u003eFAQ:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3156\" data-end=\"3370\"\u003e\n\u003cli data-start=\"3156\" data-end=\"3225\"\u003e\n\u003cp data-start=\"3158\" data-end=\"3225\"\u003e\u003cem data-start=\"3158\" data-end=\"3181\"\u003eCan I mix GPU models?\u003c\/em\u003e Yes, mix A100 and A40 in supported slots.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3226\" data-end=\"3302\"\u003e\n\u003cp data-start=\"3228\" data-end=\"3302\"\u003e\u003cem data-start=\"3228\" data-end=\"3253\"\u003eIs NVMe RAID supported?\u003c\/em\u003e Supports RAID 0\/1\/5\/10 via onboard controller.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3303\" data-end=\"3370\"\u003e\n\u003cp data-start=\"3305\" data-end=\"3370\"\u003e\u003cem data-start=\"3305\" data-end=\"3333\"\u003eHow to monitor GPU health?\u003c\/em\u003e Use iDRAC9 dashboard or NVIDIA DCGM.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"3372\" data-end=\"3375\"\u003e\n\u003ch2 data-start=\"3377\" data-end=\"3428\"\u003ePerformance, Quality, Durability \u0026amp; Reliability\u003c\/h2\u003e\n\u003cp data-start=\"3429\" data-end=\"3601\"\u003eCertified for 24\/7 AI workloads, this server uses enterprise-grade components, redundant cooling zones, and power supplies to ensure consistent high-performance and uptime.\u003c\/p\u003e\n\u003chr data-start=\"3603\" data-end=\"3606\"\u003e\n\u003ch2 data-start=\"3608\" data-end=\"3633\"\u003eBest Price Guarantee\u003c\/h2\u003e\n\u003cp data-start=\"3634\" data-end=\"3727\"\u003eFound a lower UAE price? We’ll match it. Shop confidently with NEOTECH’s price-match promise.\u003c\/p\u003e\n\u003chr data-start=\"3729\" data-end=\"3732\"\u003e\n\u003ch2 data-start=\"3734\" data-end=\"3789\"\u003eShop Today \u0026amp; Receive Your Delivery Across the UAE!\u003c\/h2\u003e\n\u003cp data-start=\"3790\" data-end=\"3916\"\u003eOrder now for secure, trackable delivery across all Emirates. We pack and ship on your timeline to meet your project deadline.\u003c\/p\u003e\n\u003chr data-start=\"3918\" data-end=\"3921\"\u003e\n\u003ch2 data-start=\"3923\" data-end=\"3973\"\u003eRequest for Customer Reviews and Testimonials\u003c\/h2\u003e\n\u003cp data-start=\"3974\" data-end=\"4080\"\u003eDeployed this server for inference? Share a quick testimonial to guide peers and showcase your AI success.\u003c\/p\u003e\n\u003chr data-start=\"4082\" data-end=\"4085\"\u003e\n\u003ch2 data-start=\"4087\" data-end=\"4111\"\u003eAfter Sales Support\u003c\/h2\u003e\n\u003cp data-start=\"4112\" data-end=\"4225\"\u003eOur ML-specialist engineers provide setup, optimization, and troubleshooting support via phone or remote session.\u003c\/p\u003e\n\u003chr data-start=\"4227\" data-end=\"4230\"\u003e\n\u003ch2 data-start=\"4232\" data-end=\"4249\"\u003eGet in Touch\u003c\/h2\u003e\n\u003cp data-start=\"4250\" data-end=\"4375\"\u003eNeed custom GPU counts or ML-ops integration? Contact NEOTECH’s AI infrastructure team for expert advice and tailored quotes.\u003c\/p\u003e\n\u003chr data-start=\"4377\" data-end=\"4380\"\u003e\n\u003ch2 data-start=\"4382\" data-end=\"4405\"\u003eStock Availability\u003c\/h2\u003e\n\u003cp data-start=\"4406\" data-end=\"4504\"\u003ePlease confirm stock status before ordering to secure your delivery slot and avoid project delays.\u003c\/p\u003e\n\u003chr data-start=\"4506\" data-end=\"4509\"\u003e\n\u003ch2 data-start=\"4511\" data-end=\"4526\"\u003eDisclaimer\u003c\/h2\u003e\n\u003cp data-start=\"4527\" data-end=\"4677\"\u003eSpecifications and pricing are subject to change without notice. Images are illustrative only. Verify all details with our sales team before purchase.\u003c\/p\u003e","brand":"NEOTECH","offers":[{"title":"Default Title","offer_id":50870552396096,"sku":null,"price":0.0,"currency_code":"AED","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0686\/0737\/7728\/files\/pixelcut-export-2025-07-08T060452.417.jpg?v=1752292569","url":"https:\/\/neotech.ae\/products\/0-gbfac38cc","provider":"NEOTECH","version":"1.0","type":"link"}