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.
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