Acer has announced the launch of the Veriton GN100 AI Workstation, a compact yet powerful computer designed to run large AI models locally. This approach reduces dependence on cloud services and helps cut related costs.

The Veriton GN100 is powered by the NVIDIA® GB10 Grace Blackwell Superchip, delivering up to 1 PFLOPS of FP4 AI performance. It combines next-generation CUDA® cores, fifth-generation Tensor Cores, and 20 Arm-based CPU cores. The device also includes 128 GB of unified system memory and 4 TB of NVMe M.2 SSD storage, enabling server-grade performance in a mini-PC form factor.

Acer revealed that the AI workstation includes the NVIDIA AI software stack, offering a full solution for AI developers. Researchers, data scientists, and students can leverage frameworks such as PyTorch, Jupyter, and Ollama to prototype, fine-tune, test, and deploy large language models locally. The system also supports seamless scaling to any accelerated cloud or data center infrastructure.

Thanks to the NVIDIA ConnectX-7 NIC, users can connect two Veriton GN100 units to work with AI models reaching up to 405 billion parameters.

Key features include:

• Wi-Fi 7, HDMI, Ethernet, and four USB 3.2 Type-C ports
• Kensington lock support for security
• Compact mini-PC design with high computing power

Acer reported that the Veriton GN100 AI Mini Workstation will be available in EMEA starting at USD 3,999. Specifications, prices, and availability may vary by region.

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