{"product_id":"supermicro-super-ai-station-ars-511gd-nb-lcc-nvidia-dgx-station-gb300","title":"Supermicro Super AI Station ARS-511GD-NB-LCC (NVIDIA DGX Station GB300)","description":"\u003ch2\u003eProduct features \u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eCPU \u0026amp; GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProcessor: 1x NVIDIA Grace 72-core Neoverse V2 CPU (ARM-based)\u003c\/li\u003e\n\u003cli\u003eGPU: 1x NVIDIA Blackwell Ultra GPU\u003c\/li\u003e\n\u003cli\u003eMIG: Multi-instance GPU for up to 7 MIGs\u003c\/li\u003e\n\u003cli\u003eoptional: 1x dedicated NVIDIA Blackwell GPU for graphics rendering, e.g. RTX Pro 2000 Blackwell\u003cmeta charset=\"utf-8\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003etotal coherent memory: 748GB, linked via NVLink\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003e®\u003c\/span\u003e-C2C, at 900 GB\/s interconnect bandwidth\u003c\/li\u003e\n\u003cli\u003eCPU memory: 496GB ECC LPDDR5X, 396 GB\/s memory bandwidth\u003c\/li\u003e\n\u003cli\u003eGPU memory: 252GB ECC HBM3e, 7.1 TB\/s memory bandwidth\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDual-port QSFP112 400GbE LAN via NVIDIA ConnectX-8 SuperNIC (= 800 Gbit\/s bandwidth total)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 1GbE Dedicated BMC LAN port\u003c\/li\u003e\n\u003cli\u003e1x RJ45 10GbE LAN port\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4x M.2 PCIe 5.0 x4 NVMe (M-key 2280)\u003c\/li\u003e\n\u003cli\u003epopulated with 3x 2TB Phison SSDs - configurable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Slots\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1x PCIe Gen 5 x16 FHFL double-width\u003c\/li\u003e\n\u003cli\u003e2x PCIe Gen 5 x8 (in x16) FHHL \u003c\/li\u003e\n\u003cli\u003e1x M.2 PCIe 5.0 x4 slot (E-Key 2230))\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eFront IO Ports and Connectors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e2x USB 3.1 Type A\u003c\/li\u003e\n\u003cli\u003epower on\/off button\u003c\/li\u003e\n\u003cli\u003ereset button\u003c\/li\u003e\n\u003cli\u003eHDD activity LED\u003c\/li\u003e\n\u003cli\u003ePower status LED\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eRear IO Ports and Connectors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4x USB 3.1 Gen2 Type A (10 Gbit\/s)\u003c\/li\u003e\n\u003cli\u003e1x mini-DP (video port)\u003c\/li\u003e\n\u003cli\u003eaudio ports (3 audio jacks)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eOS \u0026amp; security\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003esecurity hardware: Silicon Root of Trust (RoT) – NIST 800-193 Compliant\u003c\/li\u003e\n\u003cli\u003eBIOS type: AMI 64MB SPI Flash EEPROM\u003cmeta charset=\"utf-8\"\u003e\n\u003c\/li\u003e\n\u003cli\u003eOS: Ubuntu 24.04 LTS with NVIDIA AI Developer Tools\u003c\/li\u003e\n\u003cli\u003epre-installed with essential CUDA-X™ libraries\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIT manageability and enterprise features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eout-of-band telemetry via BMC\u003c\/li\u003e\n\u003cli\u003eRedfish API support\u003c\/li\u003e\n\u003cli\u003eNVIDIA Data Center GPU Manager\u003c\/li\u003e\n\u003cli\u003evisibility, monitoring, remote management capabilities\u003c\/li\u003e\n\u003cli\u003ehardware root of trust\u003c\/li\u003e\n\u003cli\u003eenterprise secure boot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDimensions, weight, form factor\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eForm factor: 5U rack-mountable desktop tower\u003c\/li\u003e\n\u003cli\u003eheight: 8.6\" (218.4 mm)\u003c\/li\u003e\n\u003cli\u003ewidth: 17.9\" (454.7 mm)\u003c\/li\u003e\n\u003cli\u003edepth: 27.6\" (701 mm)\u003c\/li\u003e\n\u003cli\u003epackage: 25.8\" (H) x 15.3\" (W) x 37.6\" (D)\u003c\/li\u003e\n\u003cli\u003egross weight: 112.4 lbs (51 kg)\u003c\/li\u003e\n\u003cli\u003enet weight: 88 lbs (40 kg)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSystem cooling\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ecooling system: closed-loop liquid cooling (suitable for office use)\u003c\/li\u003e\n\u003cli\u003eliquid cooling: Direct to Chip (D2C) Cold Plate\u003c\/li\u003e\n\u003cli\u003e2 x 120mm Fans\u003c\/li\u003e\n\u003cli\u003e1x 80mm Fan\u003c\/li\u003e\n\u003cli\u003e1x 60mm Fan\u003c\/li\u003e\n\u003cli\u003e1x 40mm Fan \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePower supply\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003epower supply: 1x 1600W Titanium Level (94%) power supply, 100 - 240V\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003epower input @ 1300W: 100-114Vac \/ 50-60Hz\u003c\/li\u003e\n\u003cli\u003epower input @ 1600W: 115-240Vac \/ 50-60Hz\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eMisc\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ecolor: black front + black body\u003c\/li\u003e\n\u003cli\u003eoperating temperature: 10°C to 25°C (50°F to 77°F)\u003c\/li\u003e\n\u003cli\u003estorage temperature: -40°C to 60°C (-40°F to 140°F)\u003c\/li\u003e\n\u003cli\u003eoperating relative humidity: 8% to 90% (non-condensing)\u003c\/li\u003e\n\u003cli\u003estorage relative humidity: 5% to 95% (non-condensing)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAI performance\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eFP4 Tensor core: 20 PFLOPS \/ 15 PFLOPS without sparsity\u003c\/li\u003e\n\u003cli\u003eFP8 \/ FP6 Tensor core: 10 PFLOPS\u003c\/li\u003e\n\u003cli\u003eInt8 Tensor Core: 330 TOPS\u003c\/li\u003e\n\u003cli\u003eFP16\/BF16 Tensor Core: 5 PFLOPS\u003c\/li\u003e\n\u003cli\u003eTF32 Tensor Core: 2.5 PFLOPS\u003c\/li\u003e\n\u003cli\u003eFP32: 80 TFLOPS\u003c\/li\u003e\n\u003cli\u003eFP64 \/ FP64 Tensor Core: 1.3 TFLOPS\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eProduct description\u003c\/h2\u003e\n\u003cp\u003eThe Supermicro Super AI Station ARS-511GD-NB-LCC is an NVIDIA DGX Station based on the GB300 superchip. It can be used for running local AI applications for development and production purposes. \u003c\/p\u003e\n\u003cp\u003eExample AI applications include LLM inference for frontier models of up to 1 Trillion parameters, scientific workloads (e.g. BioNeMo), finetuning models, hosting AI agents, and running RAGs for AI-enhanced document workflows. In particular it is well-suited to run MoE (mixture of experts) models. \u003c\/p\u003e\n\u003cp\u003eThanks to its MIG feature and its massive memory throughput it can be run headless to support several colleagues in a local workgroup. \u003c\/p\u003e\n\u003cp\u003eCompared to server systems, or heavy multi-GPU systems, it runs cooler and quieter, and is uniquely suited for office use. Its server-grade management features, such as the integrated BMC, the Redfish API support, and enterprise secure boot allow to integrate it into a corporate IT management landscape.\u003c\/p\u003e\n\u003cp\u003eTwo \u003cmeta charset=\"utf-8\"\u003eARS-511GD-NB-LCC DGX Stations can be joined using the Dual-port QSFP112 400GbE LAN to serve even bigger models, increase precision, or general model performance.\u003c\/p\u003e\n\u003cp\u003eSupermicro offers a special feature: You can use their DGX Station version at your desk, or mount it into a rack with the optional Supermicro DGX Station rack mounting kit.\u003c\/p\u003e\n\u003cp\u003eA 48U sample rack configuration could include 8x the Supermicro ARS-511GD-NB-LCC Super AI Station (this product), two storage servers, two Ethernet switches, and would use 18kW of operating power. \u003c\/p\u003e\n\u003cp\u003eA separately obtainable NVIDIA AI Enterprise software license provides a suite of software tools, libraries, and frameworks to fast-track your AI deployment on the Supermicro DGX station. \u003c\/p\u003e\n\u003ch2\u003eDatasheets, manuals and additional downloads\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/Supermicro-datasheet_Supermicro_Super_AI_Station.pdf?v=1785070755\"\u003eSupermicro Super AI Station ARS-511GD-NB-LCC datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eLead time \u0026amp; purchase\u003c\/h2\u003e\n\u003cp\u003eThis product is available on pre-order with a current lead time of about 4-6 weeks. \u003ca href=\"https:\/\/buyzero.de\/pages\/kontakt\"\u003eContact us to purchase it.\u003c\/a\u003e\u003c\/p\u003e\n\u003ch2\u003eAdditional SKUs and codes \u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eARS-511GD-NB-LCC\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eARS-511GD-NB-LCC-01-G2 = Gold Series version with pre-configured components\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eChassis model: CSE-759TS-R0CNBP\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eMotherboard: Super GPU-NVGB300-WSHPM\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Supermicro","offers":[{"title":"Default Title","offer_id":53272198185227,"sku":"supermicro-ARS-511GD-NB-LCC","price":106000.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/Supermicro-Super-AI-Station-NVIDIA-DGX-Station-GB-300-ARS-511GD-NB-LCC_angle.jpg?v=1785070028","url":"https:\/\/buyzero.de\/products\/supermicro-super-ai-station-ars-511gd-nb-lcc-nvidia-dgx-station-gb300","provider":"buyzero.de","version":"1.0","type":"link"}