ASUS ExpertCenter Pro ET900N G3-8T-04 8TB RTX PRO 6000 Max-Q

Pre-sale price 146,179 €

Benefits of Pre-Orders:

  • We are guarding the price for you - If the price gets lower when the product is available, the difference will be refunded.
  • Guaranteed purchase - When the goods are in stock, nobody will snatch your piece.
  • Priority delivery - With a pre-order, you get a fixed spot on the waiting list. You will be among the first customers to receive the goods.
  • No worries - You don't have to check the availability, we'll do it for you.

ASUS ExpertCenter Pro ET900N G3-8T-04 8TB RTX PRO 6000 Max-Q

ℹ️

This product is intended solely for businesses, government and educational institutions. Completing an order on the e-shop does not constitute a binding contract, but rather the submission of an enquiry.

The sale of this product is subject to export control, sanctions and other legal restrictions. Before an order can be accepted, the buyer, the end user, the country of delivery and the intended use must be verified. An enquiry can only be accepted after successful authorisation by the supplier.

If the required conditions are not met, the enquiry may be declined or the order cancelled without any entitlement to delivery of the goods.

If you are interested in purchasing an AI solution or accelerator, you can also email us at [email protected]. We will then prepare a proposal and an individual contract for you. For further information, please refer to our terms and conditions (Articles 3.33 and 3.34).

ASUS

ASUS ExpertCenter Pro ET900N G3-8T-04 8TB RTX PRO 6000 Max-Q workstation

The most powerful AI supercomputer for your desk – data centre performance without the server room

The ASUS ExpertCenter Pro ET900N G3-8T-04 is a powerful deskside AI supercomputer based on the NVIDIA DGX Station architecture, designed for data scientists, AI researchers, and developers who need the power of an entire data centre right at their workstation. At its core beats the NVIDIA GB300 Grace Blackwell Ultra superchip – a combination of the Blackwell Ultra GPU architecture with 252GB of HBM3e memory and a 72-core Grace Neoverse V2 ARM processor with 496GB of LPDDR5X memory, connected by NVLink-C2C technology with 900GB/s throughput. This results in a 748GB coherent memory space capable of holding and running models with up to 1 trillion parameters locally at up to 20 petaFLOPS in FP4 format – without cloud dependency, shared infrastructure, and with full control over sensitive data. NVIDIA MIG technology allows the GPU to be partitioned into up to seven isolated instances for concurrent work by an entire AI team. Connecting two stations via the NVIDIA ConnectX-8 SuperNIC with up to 800Gb/s bandwidth doubles the performance to over 1.4TB of coherent memory and 40 petaFLOPS of AI performance. The pre-installed NVIDIA DGX OS with CUDA-X libraries, TensorRT, NIM microservices, NVIDIA AI Enterprise, PyTorch, TensorFlow, and NVIDIA OpenShell ensures an immediate start without lengthy configuration – all within a Midi Tower case measuring 232×584×565mm with a 1600W 80 PLUS Titanium certified power supply.

Nvidia GeForce RTX 40

748GB (HBM3e + LPDDR5x)

Coherent memory
Nvidia GeForce RTX 40

Blackwell GB300

Chip architecture
NVIDIA DGX Station workstation

NVIDIA ConnectX

High-speed network card
NVIDIA DGX Station workstation

NVIDIA AI Software Stack

Complete software stack
Nvidia GeForce RTX 40

1600W

Power consumption
ASUS ExpertCenter Pro ET900N G3-4T

Key features of the ASUS ExpertCenter Pro ET900N G3-8T-04 8TB RTX PRO 6000 Max-Q workstation

  • NVIDIA GB300 Grace Blackwell Ultra superchip with Blackwell Ultra GPU (252GB HBM3e, 7.1TB/s) and 72-core Grace Neoverse V2 ARM processor (496GB LPDDR5X) connected via NVLink-C2C technology with 900GB/s throughput
  • The system is additionally equipped with an NVIDIA RTX PRO 6000 Max-Q Blackwell graphics card
  • Up to 20 petaFLOPS of FP4 performance and 330 TOPS of Int8 performance for training, fine-tuning, and inference of the most demanding AI models
  • 748GB of coherent memory capable of loading and running models with up to 1 trillion parameters locally, without reliance on the cloud or an external server
  • NVIDIA MIG technology for partitioning the GPU into up to 7 isolated instances – a powerful local cluster for an entire AI team in a single device
  • Internal M.2 2280 NVMe PCIe 5.0 drive with 4TB capacity
  • Connect two stations via ConnectX-8 SuperNIC (up to 800Gb/s) for over 40 petaFLOPS of performance and over 1.4TB of coherent memory
  • Pre-installed NVIDIA DGX OS with CUDA-X, TensorRT, NIM microservices, NVIDIA AI Enterprise, PyTorch, TensorFlow, and NVIDIA OpenShell for an immediate start without configuration
ASUS ExpertCenter Pro ET900N G3-4T

GB300 Grace Blackwell Ultra superchip and 748GB of coherent memory

At the heart of the ASUS ExpertCenter Pro ET900N G3-8T-04 is the NVIDIA GB300 Grace Blackwell Ultra superchip – a unique combination of the Blackwell Ultra GPU with 252GB of HBM3e memory and 7.1TB/s throughput, and the 72-core Grace Neoverse V2 ARM processor with 496GB of LPDDR5X memory and 396GB/s throughput. Both parts of the superchip are connected by NVLink-C2C technology with 900GB/s bandwidth, which eliminates the traditional bottleneck between CPU and GPU memory and creates a unified 748GB coherent memory space. This delivers 20 petaFLOPS of FP4 performance and 330 TOPS of Int8 performance – right where an entire server room floor was once required.

ASUS ExpertCenter Pro ET900N G3-4T

NVIDIA MIG and ConnectX-8 for AI team performance in a single device

The ASUS ExpertCenter Pro ET900N G3-8T-04 is not just a personal supercomputer, but a powerful local compute node for your entire AI team. NVIDIA MIG technology partitions the GPU into up to seven fully isolated instances, each with its own dedicated memory, compute cores, and network connection, allowing multiple researchers to work concurrently without impacting each other. Connecting two stations via the NVIDIA ConnectX-8 SuperNIC with up to 800Gb/s bandwidth then doubles the performance to over 40 petaFLOPS and over 1.4TB of coherent memory for working with the largest available models – without the need to build an expensive server cluster.

ASUS ExpertCenter Pro ET900N G3-4T

Borderless AI application prototyping and development

The complete NVIDIA AI software stack, combined with NVIDIA OpenShell, provides developers with a comprehensive platform for creating AI models, AI agents, and AI-enhanced applications – all locally, without cloud dependency. NVIDIA DGX OS comes preconfigured with CUDA-X libraries, Container Toolkit, Docker, and NVIDIA AI Enterprise for an immediate start to development. Once a solution is ready for production deployment, the ASUS ExpertCenter Pro ET900N G3-8T-04 enables direct and seamless migration of workloads to the NVIDIA DGX Cloud or other NVIDIA-accelerated infrastructure – using the same tools, libraries, and pre-trained models.

ASUS ExpertCenter Pro ET900N G3-4T

Fine-tune AI models with billions of parameters right at your workstation

Use the ASUS ExpertCenter Pro ET900N G3-8T-04 to fine-tune pre-trained models with billions of parameters right at your workstation. Training on your own data allows you to specialise AI models for specific industry data or use cases – without having to send sensitive data to the cloud or pay for expensive GPU instances. The NemoClaw platform then ensures the secure and isolated operation of autonomous AI agents with full governance control. The result is a model precisely tailored to your scenario, created locally, securely, and under your complete control.

ASUS ExpertCenter Pro ET900N G3-4T

ASUS ExpertCenter Pro delivers top-tier data science

The combination of 748GB of coherent memory and 20 petaFLOPS of performance makes the ASUS ExpertCenter Pro ET900N G3-8T-04 the ideal workstation for demanding data analysis and machine learning projects. Extensive datasets, complex computational models, and demanding training processes that once required a powerful cloud cluster or a dedicated server now run right on your desk. Four M.2 NVMe slots—two PCIe 5.0 x2 and two PCIe 6.0 x4 for training data—two 400Gb/s QSFP network interfaces and three PCIe 5.0 x16 slots ensure data throughput worthy of a research facility—fast, local, and without waiting for remote infrastructure.

NVIDIA DGX Station workstation

Inference for models with up to 1 trillion parameters

The Blackwell Ultra architecture's Tensor Cores, with support for the FP4 format, achieve up to 20 petaFLOPS of performance. Combined with 748GB of coherent memory, they enable you to run inference for the largest available AI models with up to 1 trillion parameters, right on your desk. Test, validate, and deploy models locally and in real time—without cloud latency, shared infrastructure, or the risk of sensitive data leaks. NVIDIA NIM microservices then allow for the rapid deployment of optimised models as containers for production inference.

Nvidia GeForce RTX 40

AI supercomputer performance

Up to 20 petaFLOPS in FP4 format inference
Nvidia GeForce RTX 40

Up to 1 trillion parameters

Local inference without cloud dependency
Nvidia GeForce RTX 40

Connect two systems

Cluster for over 40 petaFLOPS and 1.4TB of coherent memory
Nvidia GeForce RTX 40

Ready to work immediately

Pre-installed NVIDIA AI software stack
Nvidia GeForce RTX 40

Memory without compromise

748GB of unified CPU and GPU memory
Nvidia GeForce RTX 40

Your own data

Fine-tune models with billions of parameters directly at your workplace
Nvidia GeForce RTX 40

Network throughput

ConnectX-8 SuperNIC with bandwidth up to 800Gb/s
Nvidia GeForce RTX 40

Secure local work

Full data control without sending to the cloud

Specifications

Use

Assembly type Performance

Processor

Processor model number NVIDIA GB300

GPU series/model

Graphics card series NVIDIA
Model graphics cards GB300, RTX PRO 6000 Max-Q Blackwell

Graphics card

Number of stream processors 8,960×

Hard Drive

Storage capacity (total) 8,000 GB (8 TB)
SSD Capacity 8,000 GB (8 TB)
Internal interface M.2 (PCIe 5.0 4x NVMe)
Number of occupied slots M.2 4 ×
Slots in total M.2 4 ×

Colour and design

Colour Grey
Wardrobe size Midi Tower
Front panel location front
Sidewalls Opaque

PSU

PSU 1,600 W

Memory

Size of operational RAM 496 GB
Memory type LPDDR5x
Coherent memory size 748 GB

Outputs

USB 2.0 1 ×
USB 3.2 Gen 2 6 pc(s)
USB-C 2 pc(s)
Other Audio Jack 3.5mm, Mini DisplayPort, RJ-45 (LAN) 10Gbps, NVIDIA ConnectX-8 SuperNIC
Optical drive Without Optical Drive

Case

Width 232 mm
Height 565 mm
Depth 584 mm
Weight 27 kg

Package contents

Package includes Power cable

Warranty

Extended warranty Servis u zákazníka (On-site)

AI

Number of TOPS (GPU) 1,178

Product series

PC series ASUS ExpertCenter

Workstation – GPU model combinations

Graphics card combination GB300 + RTX PRO 6000 Blackwell

NCNR (Non-Cancellable, Non-Returnable)

Způsob nákupu pro firmy Na poptávku s individuální smlouvou

GPU configuration

Number of GPUs in configuration 2 ×
Code:  NRn2010b05
Warranty: 36 months
Links: Producer's Website:
Manufacturer information

ASUSTek COMPUTER INC. 1F.,No.15, Lide Rd., Beitou Dist., Taipei City 112 Tel: +886-2-2894-3447 Tel: +886-2-2890-7798 https://gr.asus.com/ProductSafety ASUS COMPUTER GmbH Harkortstrasse 21-23 40880 Ratingen Germany, Europe Email: [email protected]


ASUS COMPUTER GmbH, Harkortstrasse 21-23, 40880 Ratingen, Germany, Europe, [email protected]

ASUS is a symbol of the growth of Taiwan's economy. The firm's beginnings date back to April 2, 1989, when as a small manufacturer of motherboards began his work with a few employees. Today, Asus employs more than 12,500 employees worldwide.

ASUS products can be found in almost every category of the information technology marketplace. ASUS is focused on desktops, laptops, phones, optical drives and components. In the manufacture of motherboards, the company is now the dominant player with a staggering 40% market share.

Show more