Berlin, September 3, 2025 – Acer has announced the Veriton GN100 AI Mini Workstation, an ultra-compact system built on the NVIDIA® GB10 Grace Blackwell Superchip. The workstation is designed to run large AI models locally, offering server-grade performance in a small form factor while reducing reliance on cloud services.

Key Features

• High-Performance Hardware: Powered by the NVIDIA GB10 Superchip, the GN100 delivers up to 1 PFLOPS of FP4 AI performance, with next-gen CUDA® cores, fifth-gen Tensor Cores, and 20 Arm-based CPU cores. It comes with 128 GB unified memory and 4 TB NVMe SSD storage, enabling intensive AI workloads.

• AI Software Ready: Pre-installed with the NVIDIA AI software stack, the GN100 supports popular frameworks like PyTorch, Jupyter, and Ollama, allowing developers and researchers to train, fine-tune, and deploy models efficiently.

• Scalability: Using NVIDIA ConnectX-7 SmartNIC, two GN100 units can be linked together to handle AI models up to 405 billion parameters, making it suitable for enterprise-scale workloads.

• Compact & Secure: Despite its small footprint, the GN100 includes Wi-Fi 7, four USB 3.2 Type-C ports, HDMI, Ethernet, and Kensington lock support, combining versatility with strong security.

Pricing & Availability

The Acer Veriton GN100 AI Mini Workstation will be available starting at:

• USD 3,999 in North America

• EUR 3,999 in EMEA

• AUD 6,499 in Australia

Availability and configurations may vary by region. More details are available at www.acer.com.

Specifications

With the Veriton GN100, Acer is positioning a powerful yet space-efficient AI workstation that empowers developers, data scientists, and researchers to run large AI models locally and scale seamlessly as workloads grow.