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Nvidia GB300-powered DGX Station desktop listed for nearly $100,000

🔄 Updated 1h ago
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Key points

  • Exxact listed Nvidia DGX Station for $94,930.
  • Features GB300 Superchip with Blackwell Ultra GPU and Grace CPU.
  • Offers 748GB unified memory for local AI model work.
  • Configurable with additional GPUs and storage options.

DGX Station Price Confirmed

Exxact has listed Nvidia's GB300-powered DGX Station desktop, the Valence VWS-158270643, on its website for $94,930. This listing confirms earlier estimates for the enterprise-grade AI hardware, which was officially launched at Computex 2026 without an explicit price tag.

Hardware Specifications

The Valence VWS-158270643 includes one GB300 Superchip, which integrates a Blackwell Ultra GPU with 252GB of HBM3e memory. This GPU connects to a 72-core Arm-based Grace CPU via a 900 GB/s NVLink-C2C interconnect, with the CPU providing an additional 496GB of LPDDR5x RAM.

Unified Memory for AI Workloads

The combined system offers 748GB of unified memory, enabling local fine-tuning and deployment of AI models. This configuration is designed to address concerns about token costs and cloud vulnerabilities for large enterprises requiring rapid iteration and maximum security for their AI operations.

Configuration Options

The Valence VWS-158270643 can be customized with different GPUs for video output, as the GB300 lacks one, and various SSD options for training data storage. Optimized configurations are available, with the top-tier manual configuration reaching $108,350, including an RTX Pro 6000 Blackwell GPU and additional PCIe 5.0 SSDs.

Power and Operating System

The system is equipped with a 1,600W 80+ Titanium power supply, allowing it to operate from a standard electrical outlet. It comes pre-installed with the Linux-based DGX OS.

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Reporting from

Exxact listed Nvidia's GB300-powered DGX Station desktop, the Valence VWS-158270643, for $94,930, confirming previous price estimates. This makes the enterprise-grade AI workstation available for purchase, offering local AI model fine-tuning and deployment capabilities for businesses.