Acer’s Veriton GN100 AI Mini Workstation features Nvidia’s GB10 Grace Blackwell Superchip delivering 1 PFLOPS FP4 AI performance. The compact system includes 20 Arm CPU cores, 128GB unified memory, and 4TB NVMe storage, and supports AI frameworks like PyTorch and Jupyter. Two units can interconnect for 405 billion-parameter models. Pricing starts at US $3,999, EUR €3,999, and AUD $6,499.
(Source: Acer)
Acer announced the Veriton GN100 AI Mini Workstation, a compact computer engineered to run large AI models locally, reducing dependence on cloud services and helping control related costs.
The system builds on the Nvidia GB10 Grace Blackwell Superchip, rated for up to 1 PFLOPS of FP4 AI throughput. The platform integrates next-generation CUDA cores, fifth-generation Tensor cores, and 20 Arm-based CPU cores, paired with 128GB of unified memory and 4TB of NVMe M.2 SSD storage. This configuration targets workstation-class performance in a mini-PC enclosure.
The Veriton GN100 ships with the Nvidia AI software stack, providing an end-to-end toolchain for AI development. Developers, researchers, data scientists, and students can use familiar frameworks and tools such as PyTorch, Jupyter, and Ollama to prototype, fine-tune, test, and deploy large language models on the device or scale to accelerated cloud or data center infrastructure.
With an Nvidia ConnectX-7 NIC, users can interconnect two Veriton GN100 units to increase aggregate capacity and work with models up to 405 billion parameters. The design also addresses connectivity and security with Wi-Fi 7, four USB 3.2 Type-C ports, an HDMI port, an Ethernet jack, and a Kensington lock for physical protection and straightforward integration.
The Acer Veriton GN100 AI Mini Workstation will ship initially in North America starting at USD $3,999; in EMEA starting at EUR €3,999; and in Australia starting at AUD $6,499.
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