{"product_id":"dell-poweredge-xe9680-ai-gpu-server-8-nvidia-hgx-h100-80gb-sxm-400gb-networking","title":"Dell PowerEdge XE9680 AI GPU Server – 8× NVIDIA HGX H100 80GB SXM – 400GB Networking","description":"\u003ch1\u003e\u003cstrong\u003eDell PowerEdge XE9680 AI GPU Server with 400GB Networking\u003c\/strong\u003e\u003c\/h1\u003e\n\u003ch2\u003e\u003cstrong\u003e8× NVIDIA HGX H100 80GB SXM Platform for Large-Scale AI \u0026amp; HPC\u003cbr\u003e\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp data-end=\"2038\" data-start=\"1675\"\u003eThe \u003cstrong data-end=\"1718\" data-start=\"1679\"\u003eDell PowerEdge XE9680 AI GPU Server\u003c\/strong\u003e is Dell’s flagship AI platform, purpose-built to support the most demanding GPU-accelerated workloads. This configuration features \u003cstrong data-end=\"1886\" data-start=\"1850\"\u003e8× NVIDIA HGX H100 80GB SXM GPUs\u003c\/strong\u003e, delivering exceptional performance for large language models (LLMs), generative AI, scientific computing, and high-performance computing environments.\u003c\/p\u003e\n\u003cp data-end=\"2419\" data-start=\"2040\"\u003eThis listing represents a \u003cstrong data-end=\"2086\" data-start=\"2066\"\u003edistinct variant\u003c\/strong\u003e of the XE9680 that includes an upgraded \u003cstrong data-end=\"2154\" data-start=\"2127\"\u003e400GB networking add-on\u003c\/strong\u003e, replacing the standard networking configuration with \u003cstrong data-end=\"2241\" data-start=\"2209\"\u003e8× 400GB ConnectX-7 adapters\u003c\/strong\u003e. This enhancement is designed for customers building \u003cstrong data-end=\"2321\" data-start=\"2295\"\u003emulti-node AI clusters\u003c\/strong\u003e, where ultra-low latency and extreme bandwidth are critical for scaling performance across nodes.\u003c\/p\u003e\n\u003cp data-end=\"2679\" data-start=\"2421\"\u003eWith enterprise-class reliability, redundant power, advanced cooling architecture, and Dell PowerEdge build quality, the XE9680 with 400GB networking is ideal for data centers, research institutions, and cloud providers running mission-critical AI workloads.\u003c\/p\u003e\n\u003chr data-end=\"3047\" data-start=\"3044\"\u003e\n\u003ch3 data-end=\"3081\" data-start=\"3049\"\u003e\u003cstrong\u003eProduct Specification For Dell PowerEdge XE9680 AI GPU Server –  8 NVIDIA HGX H100 80GB SXM\u003cbr\u003e\u003ca rel=\"noopener\" title=\"Dell PowerEdge XE9680 AI GPU Server – 8 NVIDIA HGX H100 80GB - Data Sheet\" href=\"https:\/\/www.delltechnologies.com\/asset\/en-in\/products\/servers\/technical-support\/poweredge-xe9680-spec-sheet.pdf\" target=\"_blank\"\u003eCLICK HERE FOR DATA SHEET\u003c\/a\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003ctable style=\"width: 100.036%; height: 441.2px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003cth style=\"width: 32.0989%; height: 19.6px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"width: 65.4412%; height: 19.6px;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eBrand\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eDell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eProduct Line\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003ePowerEdge\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eModel\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eXE9680\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eServer Category\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eAI \/ GPU Server\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eRackmount\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eGPU Configuration\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003e8 × NVIDIA HGX H100 SXM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003e80GB HBM3 per GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eTotal GPU Memory\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003e640GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eNVIDIA Hopper\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eGPU Interconnect\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eNVLink \u0026amp; NVSwitch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eNetworking (Add-on)\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003e8x 400GB ConnectX-7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 10px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 10px;\"\u003eNetworking Interface\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 10px;\"\u003e\u003cspan\u003e2× Broadcom 5720 Dual-Port 1GbE\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eNetworking Bandwidth\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003e400GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eCPU Support\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eDual-socket processors (platform configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eDDR5 memory (capacity configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eStorage Support\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eNVMe \/ SSD storage (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eExpansion Slots\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003ePCIe expansion (platform dependent)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eRedundant power supplies\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eCooling\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eHigh-performance enterprise cooling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eManagement\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eEnterprise out-of-band management\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003eDeployment\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eData center, cloud, AI cluster environments\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 32.0989%; height: 19.6px;\"\u003ePrimary Workloads\u003c\/td\u003e\n\u003ctd style=\"width: 65.4412%; height: 19.6px;\"\u003eAI, ML, LLM training, HPC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp data-end=\"677\" data-start=\"639\"\u003e \u003c\/p\u003e\n\u003chr data-end=\"3047\" data-start=\"3044\"\u003e\n\u003ch3 data-end=\"322\" data-start=\"293\"\u003e\u003cstrong data-end=\"322\" data-start=\"296\"\u003eAI, ML \u0026amp; HPC Use Cases\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp data-end=\"342\" data-start=\"324\"\u003e\u003cstrong\u003eIdeal For:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-end=\"1764\" data-start=\"344\"\u003e\n\u003cli data-end=\"536\" data-start=\"344\"\u003e\n\u003cp data-end=\"385\" data-start=\"346\"\u003eLarge Language Model (LLM) Training\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"682\" data-start=\"538\"\u003e\n\u003cp data-end=\"573\" data-start=\"540\"\u003eGenerative AI \u0026amp; Multimodal AI\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"851\" data-start=\"684\"\u003e\n\u003cp data-end=\"719\" data-start=\"686\"\u003eDistributed AI \u0026amp; GPU Clusters\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1016\" data-start=\"853\"\u003e\n\u003cp data-end=\"891\" data-start=\"855\"\u003eDeep Learning \u0026amp; Machine Learning\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1167\" data-start=\"1018\"\u003e\n\u003cp data-end=\"1056\" data-start=\"1020\"\u003eHigh-Performance Computing (HPC)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1312\" data-start=\"1169\"\u003e\n\u003cp data-end=\"1196\" data-start=\"1171\"\u003eAI Inference at Scale\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1451\" data-start=\"1314\"\u003e\n\u003cp data-end=\"1356\" data-start=\"1316\"\u003eData Analytics \u0026amp; Big Data Processing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1615\" data-start=\"1453\"\u003e\n\u003cp data-end=\"1488\" data-start=\"1455\"\u003eResearch \u0026amp; Academic Computing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1764\" data-start=\"1617\"\u003e\n\u003cp data-end=\"1662\" data-start=\"1619\"\u003eEnterprise AI \u0026amp; Cloud Service Providers\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-end=\"3047\" data-start=\"3044\"\u003e\n\u003ch3 data-start=\"3697\" data-end=\"3723\"\u003e\n\u003cstrong\u003eFAQs \u003c\/strong\u003e\u003cstrong\u003e(Frequently Asked Questions)\u003c\/strong\u003e\n\u003c\/h3\u003e\n\u003cp data-start=\"225\" data-end=\"430\"\u003e\u003cstrong data-start=\"225\" data-end=\"276\"\u003e1: What workloads is this server designed for?\u003c\/strong\u003e\u003cbr data-start=\"276\" data-end=\"279\"\u003eThis server is designed for AI training, machine learning, large language models (LLMs), high-performance computing (HPC), and GPU cluster deployments.\u003c\/p\u003e\n\u003cp data-start=\"432\" data-end=\"646\"\u003e\u003cstrong data-start=\"432\" data-end=\"494\"\u003e2: What does 400GB networking mean in this configuration?\u003c\/strong\u003e\u003cbr data-start=\"494\" data-end=\"497\"\u003e400GB networking refers to high-bandwidth network connectivity that enables fast, low-latency data transfer for distributed and multi-node workloads.\u003c\/p\u003e\n\u003cp data-start=\"648\" data-end=\"813\"\u003e\u003cstrong data-start=\"648\" data-end=\"707\"\u003e3: Is this server suitable for multi-node AI clusters?\u003c\/strong\u003e\u003cbr data-start=\"707\" data-end=\"710\"\u003eYes. The high-bandwidth networking is well suited for large-scale, distributed AI and HPC environments.\u003c\/p\u003e\n\u003cp data-start=\"815\" data-end=\"996\"\u003e\u003cstrong data-start=\"815\" data-end=\"881\"\u003e4: Can CPU, memory, and storage configurations be customized?\u003c\/strong\u003e\u003cbr data-start=\"881\" data-end=\"884\"\u003eYes. CPU, system memory, and storage options are configurable based on deployment requirements and availability.\u003c\/p\u003e\n\u003cp data-start=\"998\" data-end=\"1155\"\u003e\u003cstrong data-start=\"998\" data-end=\"1045\"\u003e5: Does the networking support InfiniBand?\u003c\/strong\u003e\u003cbr data-start=\"1045\" data-end=\"1048\"\u003eYes. The networking hardware is InfiniBand-ready, depending on fabric design and transceiver configuration.\u003cstrong data-start=\"3725\" data-end=\"3787\"\u003e\u003c\/strong\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":46731771019425,"sku":"Dell-XE9680-400GB","price":3885000.0,"currency_code":"BRL","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/2216\/8673\/files\/Dell-PowerEdge-XE9680-AI-GPU-Server-8x-NVIDIA-HGX-H100-80GB-SXM-400GB-Networking.png?v=1784705471","url":"https:\/\/www.foxti.com.br\/products\/dell-poweredge-xe9680-ai-gpu-server-8-nvidia-hgx-h100-80gb-sxm-400gb-networking","provider":"FoxTI","version":"1.0","type":"link"}