Acer Unveils the Veriton GN100 AI Mini Workstation Built on the NVIDIA GB10 Superchip!

Acer has unveiled the Veriton GN100 AI Mini Workstation—a compact yet high-performance system built to run large AI models locally, reducing reliance on cloud services and cutting associated costs.

Powered by the NVIDIA® GB10 Grace Blackwell Superchip, the GN100 delivers up to 1 PFLOPS of FP4 AI performance. It combines next-generation CUDA® cores, fifth-generation Tensor Cores, and 20 Arm-based CPU cores, supported by 128 GB of unified system memory and 4 TB of NVMe M.2 SSD storage. This configuration brings server-grade capabilities into a mini-PC form factor.

The workstation comes preloaded with the NVIDIA AI software stack, offering a complete solution for developers. Users—including researchers, data scientists, and students—can leverage popular frameworks and tools such as PyTorch, Jupyter, and Ollama to prototype, fine-tune, test, and deploy large language models locally, or scale them seamlessly to accelerated cloud and data center environments.

With its NVIDIA ConnectX-7 NIC, two Veriton GN100 units can be linked to scale AI workloads up to 405 billion parameters. For connectivity and security, the device features Wi-Fi 7, four USB 3.2 Type-C ports, HDMI, Ethernet, and a Kensington lock, ensuring smooth integration and reliable protection.

Pricing  

The Acer Veriton GN100 AI Mini Workstation will be available in North America starting at USD  3,999; in EMEA starting at EUR 3,999, and in Australia starting at AUD 6,499. 

Exact specifications, prices, and availability will vary by region.

To learn more about  availability, product specifications and prices in specific markets, please contact your nearest  Acer office via www.acer.com.