- The Acer Veriton GN100 uses NVIDIA’s GB10 chip for extreme AI acceleration
- Acer’s mini workstation delivers one petaflop of performance in a 1.2-kilogram chassis
- Two GN100 units can be linked together to handle huge model sizes
Acer has introduced the Veriton GN100 AI mini workstation, a small desktop unit 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 normally reserved for servers to users of business laptops and workstations in compact office setups.
The company has opened early access registration to UK organizations and is pitching the system as a way to handle local AI workloads without relying heavily on cloud computing.
Desktop AI with enterprise ambitions
The Veriton GN100 appears to be targeted at professionals and researchers seeking powerful edge-based computing.
The device measures 150 x 150 x 50.5 mm and weighs around 1.2 kg, and includes up to 128 GB of LPDDR5x unified memory for shared CPU-GPU access and 4 TB of self-encrypting NVMe storage.
Acer says two devices can be connected using NVIDIA ConnectX-7 networking to control large-scale models with up to 405 billion parameters.
The system runs NVIDIA DGX OS 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 right on the desktop, removing the need for constant cloud access and helping to reduce operational latency.
The Veriton GN100 integrates four USB 3.2 Type-C ports, HDMI 2.1b output and an Ethernet interface for wired connection, along with Wi-Fi 7 and Bluetooth 5.1 support.
Acer’s announcements emphasize privacy, cost control and latency reduction, three areas where cloud-based AI services often fall short.
By enabling inference and data management locally, the Veriton GN100 aims to keep sensitive data under internal control, relevant to UK organizations bound by GDPR compliance.
The company also claims predictable costs compared to fluctuating pay-per-use cloud prices, although long-term cost comparisons remain untested.
This device is aimed at 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 is listed from €3,999 in EMEA, with pricing and availability varying by region.
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