ASUS ExpertCenter Pro ET900N G3 AI Supercomputer (NVIDIA DGX Station GB300)

Product features CPU & GPU Processor: 1x NVIDIA Grace ™ 72-core Neoverse V2 CPU (ARM-based) GPU: 1x NVIDIA Blackwell Ultra GPU MIG: Multi-instance GPU for up to 7 MIGs optional: 1x dedicated NVIDIA Blackwell GPU for graphics rendering, e.g. RTX Pro 2000 Blackwell RAM total coherent memory: 748GB, linked via NVLink ®-C2C, at 900 GB/s interconnect bandwidth CPU memory: 496GB ECC LPDDR5X, 396 GB/s memory bandwidth GPU memory: 252GB ECC HBM3e, 7.1 TB/s memory bandwidth Networking Dual-port QSFP112 400GbE LAN via NVIDIA ConnectX-8 SuperNIC (= 800 Gbit/s bandwidth total) 1x RJ45 1GbE Dedicated BMC LAN port 1x RJ45 10GbE LAN port WIFI optional Storage 4x M.2 PCIe 5.0 x4 NVMe (M-key 2280) populated with 4x 2TB SSDs - configurable PCIe Slots 1x PCIe Gen 5 x16 FHFL double-width, for GPUs 2x PCIe Gen 5 x8 (in x16) FHHL 1x M.2 PCIe 2.0 x1 slot (E-Key 2230)) Front IO Ports and Connectors 2x USB 3.2 Gen2 port (Type-C) 2x USB 3.2 Gen2 ports (Type-A) 1x USB 2.0 port 1x headphone port 1x microphone port 1x power button 2x message LEDs Rear IO Ports and Connectors 4x USB 3.2 Gen2 ports (Type-A, 10 Gbit/s) 1x microUSB port (for BMC) 2x QSFP ports 400 Gbit/s (CX-8 NIC) 1x RJ45 port 10 Gbit/s Ethernet (Marvel) 1x RJ45 port 1 Gbit/s Ethernet (Realtek) 1x mini-DP (video port, for BMC) 3x Audio jacks (Audio in/Audio out/Mic) OS & security OS: Ubuntu 24.04 LTS with NVIDIA AI Developer Tools pre-installed with essential CUDA-X™ libraries, including tools for data science pre-installed with complete NVIDIA AI Software Stack out-of-the-box support for NVIDIA NemoClaw open source stack allowing organizations to build and deploy always-on autonomous AI assistants locally supports NVIDIA Nemotron IT manageability and enterprise features out-of-band telemetry via BMC Redfish API support NVIDIA Data Center GPU Manager visibility, monitoring, remote management capabilities hardware root of trust enterprise secure boot onsite hardware support (next business day) included Dimensions, weight, form factor Form factor: desktop tower with carrying handle height: 565 mm / 22.3 inch width: 232 mm / 9.1 inch depth: 584 mm / 23 inch net weight: 27 kg gross weight: 32 kg System cooling cooling system: closed-loop AIO liquid cooling (suitable for office use) data-center grade thermal architecture long-duration, full-load local AI computing with zero thermal throttling, consistent peak performance, 24/7 reliability for mission-critical workloads Power supply power supply: 1x 1600W Titanium ATX power supply, 100 - 240V compatible with C19 power cord Misc Audio: Realtek® ALC4080 Audio Codec operating temperature: TBD storage temperature: TBD operating relative humidity: TBD (non-condensing) storage relative humidity: TBD (non-condensing) certification: CE, FCC (Class A), BSMI, UL, KCC packing content: 1x ASUS ExpertCenter Pro ET900N G3 AI Supercomputer (NVIDIA DGX Station GB300) 1x power cord: IEC C19 to EU standard plug (US NEMA 5-20P available on request) AI performance FP4 Tensor core: 20 PFLOPS / 15 PFLOPS without sparsity FP8 / FP6 Tensor core: 10 PFLOPS Int8 Tensor Core: 330 TOPS FP16/BF16 Tensor Core: 5 PFLOPS TF32 Tensor Core: 2.5 PFLOPS FP32: 80 TFLOPS FP64 / FP64 Tensor Core: 1.3 TFLOPS Product description The 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. Example 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. Thanks to its MIG feature and its massive memory throughput it can be run headless to support several colleagues in a local workgroup. Compared 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. Two 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. As a special feature the ASUS ExpertCenter Pro ET900N G3 always includes onsite hardware support in its purchase price. ASUS also claims to plan future support for Windows-based AI development. A 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. Four strategic advantages over cloud data centers: Enhanced Data Privacy & Governance - sensitive corporate data, proprietary code, and intellectual property never leave the local corporate network Zero cloud latency - real-time AI inferencing and complex simulations operate at local bus speeds without regional network lag Predictable Operational Costs: eliminates ongoing variable cloud consumption, egress fees and API token billing in favor of a fixed hardware asset and electricity consumption Uncapped Experimentation: AI research labs and developers can run continuous, heavy fine-tuning and token-heavy autonomous agent testing 24/7 without risking budget overruns Optional GPUs One of the following optional GPUs can be added into the system to add graphics output options, and for scientific simulation and rendering workloads: NVIDIA RTX PRO 6000 Blackwell Workstation Edition NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition NVIDIA RTX PRO 4000 Blackwell SFF Edition NVIDIA RTX PRO 2000 Blackwell Datasheets, manuals and additional downloads ASUS ExpertCenter Pro ET900N G3 datasheet (PDF) Lead time & purchase This product is available on pre-order with a current lead time of about 8-9 weeks. Contact us to purchase it. Additional SKUs and codes model number: ExpertCenter Pro ET900N G3