ASUS ExpertCenter Pro ET900N G3-4T-01 4TB
Code: ASUS-ECP-G3-4T-01Related products
Product detailed description
The ASUS ExpertCenter Pro ET900N G3-4T-01 4TB is a professional AI supercomputer built on the NVIDIA DGX Station GB300 architecture. It brings data-center-class computing capabilities directly to a workstation and is designed for generative AI development, large language model training and fine-tuning, machine learning, scientific simulations 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 primary 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 exceptional memory capacity enables local deployment and fine-tuning of very 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, computer vision, deep learning and scientific computing. Local processing also provides greater control over sensitive data and reduces dependence on external cloud services.
The integrated NVIDIA Blackwell Ultra accelerator uses advanced Tensor cores based on the NVIDIA Blackwell architecture and supports low-precision computation, including NVFP4. This technology is optimized for demanding AI workloads, inference and large neural networks. The advertised performance of up to 20 PFLOPS represents the platform's peak capability in supported AI operations rather than general-purpose performance across all types of computation.
This configuration uses the primary NVIDIA Blackwell Ultra accelerator integrated into the GB300 Superchip and does not include a dedicated NVIDIA RTX PRO graphics card. However, the platform supports optional expansion with one compatible NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition, RTX PRO 4000 Blackwell SFF Edition or RTX PRO 2000 Blackwell graphics card. Expansion allows the system to be adapted to workflows requiring dedicated display outputs, CAD, 3D rendering or professional visualization.
For the operating system, AI models and projects, the system provides 4 TB of NVMe SSD storage comprising two 2 TB drives. The system drives use PCI Express 5.0 x4 and are preconfigured for RAID 1, which mirrors data to improve resilience against the failure of a single drive. With mirroring, usable capacity is approximately 2 TB. The platform offers four M.2 2280 slots in total: two PCIe 5.0 x4 slots for system drives and two additional PCIe 6.0 x4 slots for data-intensive workloads and future storage expansion.
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 infrastructure. Appropriate transceivers or compatible cabling are required to use the QSFP112 ports. Remote management is handled by an ASPEED AST2600 controller running AMI MegaRAC firmware, with support for IPMI 2.0 and DMTF Redfish. A TPM 2.0 security module is also included.
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 platform supports NVIDIA CUDA, CUDA-X and modern frameworks such as PyTorch, TensorFlow and NVIDIA TensorRT with appropriate software configuration. It is suitable for neural network training, inference, model optimization, AI agent workflows and large-scale computational tasks.
The robust chassis measures 232 × 584 × 565 mm and features a 1600 W Titanium-class power supply. Its construction is designed for sustained computational workloads and efficient 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 headphone and microphone jacks. The rear panel provides four additional 10 Gb/s USB-A ports, network interfaces, remote management connections, a Mini DisplayPort for BMC and three analog audio jacks. The system weighs approximately 27 kg.
Key features
- Model: ASUS ExpertCenter Pro ET900N G3-4T-01
- 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: not included in this configuration
- Supported optional graphics cards: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition, RTX PRO 4000 Blackwell SFF Edition, RTX PRO 2000 Blackwell
- Storage: 4 TB NVMe SSD (2× 2 TB)
- System drive configuration: RAID 1
- Usable RAID 1 capacity: approximately 2 TB
- M.2 slots: 4× M.2 2280
- System storage: 2× M.2 PCIe 5.0 x4
- Data storage / expansion: 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, large-scale data processing
Additional parameters
| Category: | AI Computers (AI Systems) |
|---|---|
| Warranty: | 36 months (Company 36) |
| EAN: | 4711636684347 |
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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 |