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

Acer today introduced the Veriton GN100 AI Mini Workstation, a compact yet powerful computer designed to run large AI models locally, minimizing dependence on cloud services and helping reduce associated costs. 

The device is built on the NVIDIA® GB10 Grace Blackwell Superchip, delivering up to 1 PFLOPS of FP4 AI performance. This powerhouse combines next-generation CUDA® cores, fifth-gen Tensor Cores, and 20 Arm-based CPU cores, backed by 128 GB of unified system memory and 4 TB of NVMe M.2 SSD storage. This robust configuration enables server-grade performance in a mini-PC form factor. 

The Acer Veriton GN100 includes the NVIDIA AI software stack, providing a full stack solution for AI developers. Developers, researchers, data scientists, and students can leverage common frameworks and tools such as PyTorch, Jupyter, and Ollama to prototype, fine-tune, test, and deploy large language models locally or seamlessly scale out to any accelerated cloud or data center infrastructure.

Thanks to the NVIDIA ConnectX-7 NIC, users can link two Acer Veriton GN100 units to scale up and work with AI models reaching up to 405 billion parameters. Connectivity and security are also prioritized, with Wi-Fi 7, four USB 3.2 Type-C ports, an HDMI port, an Ethernet jack, and a Kensington lock ensuring robust protection and seamless system integration. 

Pricing 

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.