- Acer Veriton GN100 uses NVIDIA’s GB10 chip for extreme AI acceleration
- Acer’s mini workstation delivers petaflop performance in a 1.2-kilogram chassis
- Two GN100 units can be linked together to handle large models
Acer has introduced the Veriton GN100 AI Mini Workstation, a small desktop device that claims to deliver up to 1 petaflop of FP4 AI performance.
It uses the Nvidia GB10 Grace Blackwell superchip, bringing a level of processing power typically reserved for servers to professional laptop and workstation users in compact desktop setups.
The company opened early access registration for UK organizations, pitching the system as a way to manage local AI workloads without relying heavily on cloud computing.
Desktop AI with enterprise ambitions
The Veriton GN100 appears to target professionals and researchers looking for powerful edge-based computing.
Measuring 150 x 150 x 50.5 mm and weighing approximately 1.2 kg, the device includes up to 128 GB of unified LPDDR5x memory for shared CPU-GPU access and 4 TB of self-encrypting NVMe storage.
Acer says two units can be connected using the NVIDIA ConnectX-7 network to manage large-scale models with up to 405 billion parameters.
The system runs the NVIDIA DGX operating system alongside the company’s AI software stack and supports development tools such as PyTorch, Jupyter and Ollama.
This setup provides users with an environment for prototyping and fine-tuning models directly on the desktop, eliminating the need for constant access to the cloud and helping to reduce operational latency.
The Veriton GN100 features four USB 3.2 Type-C ports, an HDMI 2.1b output, and an Ethernet interface for wired connectivity, as well as support for Wi-Fi 7 and Bluetooth 5.1.
Acer’s messaging emphasizes privacy, cost control and latency reduction, three areas where cloud-based AI services often fail.
By enabling data inference and processing locally, the Veriton GN100 aims to keep sensitive data under internal governance, which is relevant for UK organizations bound by GDPR compliance.
The company also claims predictable spending compared to fluctuating pay-per-use cloud pricing, although long-term cost comparisons have not yet been tested.
This device targets enterprise environments that require high-speed on-device AI processing in a desktop form factor and includes a Kensington lock for added security.
This mobile workstation starts at €3,999 in EMEA, with pricing and availability varying by region.
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