{"product_id":"asus-expertcenter-pro-et900n-g3-nvidia-dgx-station-gb300","title":"ASUS ExpertCenter Pro ET900N G3 AI Supercomputer (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\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003e™\u003c\/span\u003e 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\u003cli\u003eWIFI optional\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 4x 2TB 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, for GPUs\u003c\/li\u003e\n\u003cli\u003e2x PCIe Gen 5 x8 (in x16) FHHL \u003c\/li\u003e\n\u003cli\u003e1x M.2 PCIe 2.0 x1 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 3.2 Gen2 port (Type-C)\u003c\/li\u003e\n\u003cli\u003e2x USB 3.2 Gen2 ports (Type-A)\u003c\/li\u003e\n\u003cli\u003e1x USB 2.0 port\u003c\/li\u003e\n\u003cli\u003e1x headphone port\u003c\/li\u003e\n\u003cli\u003e1x microphone port\u003c\/li\u003e\n\u003cli\u003e1x power button\u003c\/li\u003e\n\u003cli\u003e2x message LEDs\u003cbr\u003e\n\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 3.2 Gen2 ports (Type-A, 10 Gbit\/s)\u003c\/li\u003e\n\u003cli\u003e1x microUSB port (for BMC)\u003c\/li\u003e\n\u003cli\u003e2x QSFP ports 400 Gbit\/s (CX-8 NIC)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 port 10 Gbit\/s Ethernet (Marvel)\u003c\/li\u003e\n\u003cli\u003e1x RJ45 port 1 Gbit\/s Ethernet (Realtek)\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e1x mini-DP (video port, for BMC)\u003c\/li\u003e\n\u003cli\u003e3x Audio jacks (Audio in\/Audio out\/Mic)\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\u003eOS: Ubuntu 24.04 LTS with NVIDIA AI Developer Tools\u003c\/li\u003e\n\u003cli\u003epre-installed with essential CUDA-X™ libraries, including tools for data science\u003c\/li\u003e\n\u003cli\u003epre-installed with complete NVIDIA AI Software Stack\u003c\/li\u003e\n\u003cli\u003eout-of-the-box support for NVIDIA NemoClaw open source stack allowing organizations to build and deploy always-on autonomous AI assistants locally\u003c\/li\u003e\n\u003cli\u003esupports NVIDIA Nemotron\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\u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eonsite hardware support (next business day) included\u003c\/strong\u003e\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: desktop tower with carrying handle\u003c\/li\u003e\n\u003cli\u003eheight: 565 mm \/ 22.3 inch\u003c\/li\u003e\n\u003cli\u003ewidth: 232 mm \/ 9.1 inch\u003c\/li\u003e\n\u003cli\u003edepth: 584 mm \/ 23 inch\u003c\/li\u003e\n\u003cli\u003enet weight: 27 kg\u003c\/li\u003e\n\u003cli\u003egross weight: 32 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 AIO liquid cooling (suitable for office use)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003edata-center grade thermal architecture\u003c\/li\u003e\n\u003cli\u003elong-duration, full-load local AI computing with zero thermal throttling, consistent peak performance, 24\/7 reliability for mission-critical workloads\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 ATX power supply, 100 - 240V\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ecompatible with C19 power cord\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eMisc\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAudio: Realtek® ALC4080 Audio Codec\u003c\/li\u003e\n\u003cli\u003eoperating temperature: TBD\u003c\/li\u003e\n\u003cli\u003estorage temperature: \u003cmeta charset=\"utf-8\"\u003eTBD\u003c\/li\u003e\n\u003cli\u003eoperating relative humidity: \u003cmeta charset=\"utf-8\"\u003eTBD (non-condensing)\u003c\/li\u003e\n\u003cli\u003estorage relative humidity: \u003cmeta charset=\"utf-8\"\u003eTBD (non-condensing)\u003c\/li\u003e\n\u003cli\u003ecertification: CE, FCC (Class A), BSMI, UL, KCC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003epacking content:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1x ASUS ExpertCenter Pro ET900N G3 AI Supercomputer (NVIDIA DGX Station GB300)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e1x power cord: IEC C19 to EU standard plug (US NEMA 5-20P available on request)\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 ASUS ExpertCenter Pro ET900N G3 AI Supercomputer is an NVIDIA DGX Station based on the GB300 Grace™ Blackwell 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 ExpertCenter Pro ET900N G3 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\u003eAs a special feature the ASUS ExpertCenter Pro ET900N G3 \u003cstrong\u003ealways\u003c\/strong\u003e includes onsite hardware support in its purchase price. \u003c\/p\u003e\n\u003cp\u003eASUS also claims to plan future support for Windows-based AI development.\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 ASUS DGX Station GB300. \u003c\/p\u003e\n\u003ch2\u003eFour strategic advantages over cloud data centers:\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eEnhanced Data Privacy \u0026amp; Governance - sensitive corporate data, proprietary code, and intellectual property never leave the local corporate network\u003c\/li\u003e\n\u003cli\u003eZero cloud latency - real-time AI inferencing and complex simulations operate at local bus speeds without regional network lag\u003c\/li\u003e\n\u003cli\u003ePredictable Operational Costs: eliminates ongoing variable cloud consumption, egress fees and API token billing in favor of a fixed hardware asset and electricity consumption\u003c\/li\u003e\n\u003cli\u003eUncapped Experimentation: AI research labs and developers can run continuous, heavy fine-tuning and token-heavy autonomous agent testing 24\/7 without risking budget overruns\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eOptional GPUs\u003c\/h2\u003e\n\u003cp\u003eOne of the following optional GPUs can be added into the system to add graphics output options, and for scientific simulation and rendering workloads:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO 4000 Blackwell SFF Edition\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eNVIDIA RTX PRO 2000 Blackwell\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\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\/asus-expertcenter-pro-et900n-g3-datasheet-NVIDIA-DGX-Station.pdf?v=1785693779\"\u003eASUS ExpertCenter Pro ET900N G3 datasheet (PDF)\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 8-9 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\"\u003emodel number: ExpertCenter Pro ET900N G3\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"ASUS","offers":[{"title":"Default Title","offer_id":53284338761995,"sku":"ASUS-ExpertCenter-Pro-ET900N-G3","price":127500.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/asus-expertcenter-pro-et900n-g3-NVIDIA-DGX-Station-right.jpg?v=1785694400","url":"https:\/\/buyzero.de\/en\/products\/asus-expertcenter-pro-et900n-g3-nvidia-dgx-station-gb300","provider":"buyzero.de","version":"1.0","type":"link"}