ASUS ExpertCenter Pro ET900N G3-8T-04 8TB RTX PRO 6000 Max-Q
Code: ASUS-ECP-G3-8T-04Related products
Product detailed description
The ASUS ExpertCenter Pro ET900N G3-8T-04 8TB RTX PRO 6000 Max-Q is an exceptionally powerful AI supercomputer built on the NVIDIA DGX Station GB300 architecture. It brings data-center-class computing capabilities directly to a professional workstation and is designed for generative AI development, large language model training and fine-tuning, advanced scientific simulations, machine learning and large-scale data processing. At its core is the NVIDIA GB300 Grace Blackwell Ultra Superchip, combining a 72-core NVIDIA Grace CPU with a powerful NVIDIA Blackwell Ultra accelerator. The platform delivers up to 20 PFLOPS of performance in supported AI workloads.
The NVIDIA GB300 Grace Blackwell Ultra connects its CPU and GPU components through the high-speed NVIDIA NVLink-C2C interconnect. The NVIDIA Grace processor features 72 Arm Neoverse V2 cores and 496 GB of LPDDR5X memory with bandwidth of up to 396 GB/s. The integrated NVIDIA Blackwell Ultra accelerator provides an additional 252 GB of HBM3e memory with bandwidth of up to 7.1 TB/s. The total 748 GB of coherent memory enables efficient CPU–GPU collaboration on massive data structures while reducing the need to copy data between separate memory spaces.
The enormous memory capacity enables local deployment and fine-tuning of exceptionally large AI models, including selected models with up to 1 trillion parameters under suitable quantization and configuration conditions. The system is suitable for large language models (LLMs), multimodal AI, image and video generation, autonomous AI agents, robotics, physics simulations and research applications. Local processing also provides greater control over sensitive data, reduces dependence on cloud services and enables more predictable operating costs.
The configuration is enhanced by an NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition with 96 GB of GDDR7 ECC memory. This dedicated professional graphics card adds further compute capabilities for professional 3D rendering, CAD, visualization and GPU-accelerated workflows. It features 24,064 CUDA cores, fifth-generation Tensor cores, fourth-generation RT cores, a 512-bit memory interface and memory bandwidth of up to 1792 GB/s. The Max-Q design is optimized for high performance with a maximum power consumption of 300 W. The dedicated graphics card has its own memory, separate from the GB300 Superchip's 748 GB of coherent memory.
For the operating system, AI models, training datasets and projects, the system provides 8 TB of NVMe SSD storage. The platform supports four M.2 2280 slots, including two PCI Express 5.0 x4 slots for system drives with RAID 1 configuration support and two PCI Express 6.0 x4 slots for data-intensive workloads. High-performance storage enables fast model loading, efficient handling of large datasets and responsive development environments.
Professional networking includes an NVIDIA ConnectX-8 SuperNIC with two QSFP112 ports supporting up to 400 Gb/s per port, a dedicated Marvell 10GbE port and a separate Realtek 1GbE management port. High-speed connectivity enables integration with additional compute nodes, network storage and data-center infrastructure. Remote management is handled by an ASPEED AST2600 controller running AMI MegaRAC firmware, with support for IPMI 2.0 and the DMTF Redfish API. A TPM 2.0 security module is also integrated.
The ASUS ExpertCenter Pro ET900N G3 is ready for the professional NVIDIA AI ecosystem. It comes with Ubuntu and NVIDIA AI Developer Tools, providing an environment for developing, testing and deploying AI applications. The NVIDIA DGX Station architecture is designed to work with modern frameworks and libraries such as PyTorch, TensorFlow, CUDA and NVIDIA TensorRT when appropriately configured. The platform supports GPU acceleration for neural network training, inference, model optimization and data processing.
The robust workstation chassis measures 232 × 584 × 565 mm and is equipped with a 1600 W Titanium-class power supply. Its construction is designed for sustained compute workloads and appropriate cooling of high-performance components. Front connectivity includes two 10 Gb/s USB-C ports, two 10 Gb/s USB-A ports, one USB 2.0 port and separate audio connectors. The rear panel provides four additional 10 Gb/s USB-A ports, network connections, management interfaces, a mini DisplayPort for BMC and analog audio connectors. The system has a net weight of approximately 27 kg.
Key features
- Model: ASUS ExpertCenter Pro ET900N G3-8T-04
- Device type: professional AI supercomputer / workstation
- Platform: NVIDIA DGX Station GB300
- Superchip: NVIDIA GB300 Grace Blackwell Ultra
- Processor: NVIDIA Grace, 72 Arm Neoverse V2 cores
- Primary AI accelerator: NVIDIA Blackwell Ultra
- CPU–GPU interconnect: NVIDIA NVLink-C2C
- Total coherent memory: 748 GB
- CPU memory: 496 GB LPDDR5X
- CPU memory bandwidth: up to 396 GB/s
- Primary GPU memory: 252 GB HBM3e
- Primary GPU memory bandwidth: up to 7.1 TB/s
- AI platform performance: up to 20 PFLOPS in supported AI workloads
- Dedicated graphics card: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
- Dedicated GPU memory: 96 GB GDDR7 ECC
- Dedicated GPU CUDA cores: 24,064
- Dedicated GPU Tensor cores: 5th generation
- Dedicated GPU RT cores: 4th generation
- Dedicated GPU memory interface: 512-bit
- Dedicated GPU memory bandwidth: up to 1792 GB/s
- Dedicated GPU maximum power: 300 W
- Storage: 8 TB NVMe SSD
- M.2 slots: 4× M.2 2280
- System storage: 2× M.2 PCIe 5.0 x4, RAID 1 support
- Data storage: 2× M.2 PCIe 6.0 x4
- Expansion slots: 1× PCIe 5.0 x16, 2× PCIe 5.0 x8
- High-speed networking: NVIDIA ConnectX-8 SuperNIC, 2× QSFP112, up to 400 Gb/s per port
- Ethernet: 1× Marvell 10GbE
- Management LAN: 1× Realtek 1GbE
- Remote management controller: ASPEED AST2600
- Management: AMI MegaRAC, IPMI 2.0, DMTF Redfish
- Security: TPM 2.0
- Front USB: 2× USB-C 10 Gb/s, 2× USB-A 10 Gb/s, 1× USB 2.0
- Front audio: headphone and microphone jacks
- Rear USB: 4× USB-A 10 Gb/s, 1× Micro USB for BMC
- Rear system video output: 1× mini DisplayPort for BMC
- Rear audio: 3× analog audio jacks
- Operating system: Ubuntu
- Development tools: NVIDIA AI Developer Tools
- Power supply: 1600 W Titanium
- Operating temperature: 10–35 °C
- Dimensions: 232 × 584 × 565 mm
- Weight: approximately 27 kg
- Applications: generative AI, LLMs, inference, fine-tuning, deep learning, AI agents, scientific simulation, 3D rendering, professional visualization
Additional parameters
| Category: | AI Computers (AI Systems) |
|---|---|
| Warranty: | 36 months (Company 36) |
| EAN: | 4711636684408 |
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| Manufacturing company : | ASUSTeK Computer Inc. |
|---|---|
| Address : | No. 15, Li-Te Rd., Beitou Dist., Taipei City 112, Taiwan |
| E-mail : | info@asus.com |
| EU representative of the manufacturer : | ASUS Computer GmbH |
| Address of the EU representative : | Harkortstr. 21-23, 40880 Ratingen, Germany |
| Email of the EU representative : | support@asus.com |