Desktop ai supercomputer
ASUS ExpertCenter Pro ET900N G3
The ASUS ExpertCenter Pro ET900N G3 is part of a new class of deskside AI supercomputers. Designed from the ground up to build and run AI, this revolutionary system unleashes the NVIDIA® GB300 Grace Blackwell Ultra Desktop Superchip and a massive 748GB of large coherent memory. Fully compatible with NVIDIA NemoClaw and NVIDIA AI Enterprise, it enables the local deployment of trillion-parameter models and autonomous AI agents at the deskside. Capable of developing and running large local AI training and inferencing workloads, this desktop system uses the NVIDIA® AI Software Stack to put an unprecedented amount of compute performance at the fingertips of AI development teams.
This system is offered exclusively to business customers via our B2B Sales Team.
To place an order or request further details, please contact us directly using the button below.
KEY SPECIFICATIONS
- Operating System
- 4TB WDS400T2X0E-00BCA0
- Ubuntu with NVIDIA AI Developer Tools
- Central Processor
- Grace 72-Core Neoverse V2
- Graphics Processor
- NVIDIA Blackwell Ultra
- Dimensions (W x D x H) and Weight
- 232 x 584 x 565 mm ( 9.1 x 23 x 22.3 inch)
- 27 kg (net weight)
- 32 kg (gross weight)
- Memory
- 748GB of Coherent Memory
- Storage
- Up to 4 x M.2 2280 NVMe PCIe 5.0 SSD, total 8TB
- Power Supply
- 1600W TITANIUM ATX Power Supply
- Networking
- Optional (WIFI)
- 1 x 10G LAN
- 1 x 1G LAN (Dedicated management LAN for BMC)
- Audio
- Realtek ALC269Q
- Soundblaster Cinema 6 DSP
- Connectivity
- (2) Thunderbolt 4 USB Type-C
- (1) USB 3.1 Gen 2
- (1) HDMI 2.0 Output
- (1) 3.5mm Audio In/Out Jack
- (1) Kensington Lock Ready
- Front(Side) I/O Ports
- 2 x USB 10Gbs Type-C ports
- 2 x USB 10Gbs ports
- 1 x USB 2.0 port 1 x Head phone port
- 1 x Microphone port
- Back I/O Ports
- 4 x USB 10Gbps port (4 x Type-A)
- 1 x USB Micro B (for BMC)
- 1 x Marvel 10Gb Ethernet port
- 1 x Realtek 1Gb Ethernet port (for BMCC)
- 2 x CX-8 NIC ports
- 1 x mini DisplayPort (for BMC)
- 3x Audio jacks
Secure and Scalable Agentic AI
The ASUS ExpertCenter Pro ET900N G3 with the NVIDIA NemoClaw open source stack, adds privacy and security controls to OpenClaw. NemoClaw installs NVIDIA OpenShell to enforce policy-based privacy and security guardrails, giving users control over how agents behave and handle data and provides the compute resources to run open models like NVIDIA Nemotron locally for enhanced privacy and cost efficiency.
Extreme Cooling for Extreme AI Workloads
The ASUS ExpertCenter Pro ET900N G3 features a data center-grade thermal architecture designed to sustain extreme AI workloads without compromise. With optimised airflow, advanced heat dissipation, and precision thermal control, it efficiently supports next-generation deskside supercomputer performance for AI training and inference. This enables long-duration, full-load local AI computing with zero thermal throttling, consistent peak performance, and 24/7 reliability for mission-critical workloads.
NVIDIA DGX STATION ASUS ExpertCenter Pro ET900N G3 4TB
Ubuntu with NVIDIA AI Developer Tools NVIDIA Grace 72-Core Neoverse V2 NVIDIA Blackwell Ultra 748GB Coherent Memory 4TB (2x2TB) NVMe M.2 2280 PCIe 5.0
0 Review
Estimated dispatch date: Friday, 11/9/2026
NVIDIA DGX STATION ASUS ExpertCenter Pro ET900N G3 8TB
Ubuntu with NVIDIA AI Developer Tools NVIDIA Grace 72-Core Neoverse V2 NVIDIA Blackwell Ultra 748GB Coherent Memory 8TB (4x2TB) NVMe M.2 2280 PCIe 5.0
0 Review
Estimated dispatch date: Friday, 11/9/2026
Frequently Asked Questions
What is a deskside AI supercomputer?
A deskside AI supercomputer delivers data center–class AI performance in a compact, office-ready system. It enables local training and inference of large AI models with lower latency and greater data control. The ASUS ExpertCenter Pro ET900N G3, powered by the NVIDIA® GB300 Grace Blackwell Ultra Desktop Superchip, brings this capability to the deskside for enterprise AI deployment.
What is the difference between cloud AI and on-prem AI?
Cloud AI runs on remote data centers, offering scalability but with potential latency, cost, and data privacy concerns.
On-prem AI runs locally, delivering faster performance, predictable costs, and full data control.
Systems like the ASUS ExpertCenter Pro ET900N G3 bring data center–class AI performance to the deskside, enabling large AI models to run locally.
What AI performance does ASUS ExpertCenter Pro ET900N G3 deliver?
The ET900N G3 delivers up to 20 PFLOPS of AI performanceK, powered by the NVIDIA® GB300 Grace Blackwell Ultra Desktop Superchip, enabling large-scale AI training and real-time inference at the deskside.
How much memory does ET900N G3 support?
The system features 748GB of large coherent unified memory, allowing developers to run trillion-parameter AI models and memory-intensive workloads locally.
Can ET900N G3 run large AI models locally?
Yes. With its unified memory architecture and NVIDIA AI software stack, ET900N G3 enables local deployment of large language models (LLMs) and AI agents without relying on cloud infrastructure.
What makes ET900N G3 different from traditional workstations?
Unlike traditional workstations, ET900N G3 is a deskside AI supercomputer designed specifically for AI workloads, combining data center-class compute, memory, and software in a desktop form factor.
What AI applications does ET900N G3 support?
ET900N G3 supports a wide range of AI workloads, including:
• Large language model (LLM) training & inference
• Autonomous AI agents
• Computer vision
• Generative AI content creation
• Scientific computing
What software ecosystem is supported?
The ASUS ExpertCenter Pro ET900N G3 is designed to support leading AI software ecosystems, including:
NVIDIA AI Enterprise
NVIDIA OpenShell
NVIDIA AI software stack
These platforms can be deployed on ET900N G3 to enable optimised performance across AI training, inference, and deployment workflows.
Is ET900N G3 suitable for continuous AI workloads?
Yes. With its data center-grade thermal architecture, ET900N G3 is designed for 24/7 operation, ensuring stable performance under sustained AI workloads.