Acer’s new workstation brings a frankly ridiculous 1 petaflop AI performance to your desktop – Get an Nvidia Grace Blackwell in your business device now
- Acer Veriton GN100 uses NVIDIA’s GB10 chip for extreme AI acceleration
- Acer’s mini workstation delivers one petaflop performance in a 1.2-kilogram chassis
- Two GN100 units can link together to manage huge model sizes
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 usually reserved for servers to business laptop and workstation users in compact office setups.
The company has opened early-access registration for UK organisations, presenting 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 target professionals and researchers seeking powerful edge-based computation.
Measuring 150 by 150 by 50.5 mm and weighing about 1.2 kg, the device 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 units can be connected using NVIDIA ConnectX-7 networking to manage 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.
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
This setup gives users an environment for prototyping and fine-tuning models directly on the desktop, removing the need for constant cloud access and helping reduce operational latency.
The Veriton GN100 integrates four USB 3.2 Type-C ports, HDMI 2.1b output, and an Ethernet interface for wired connectivity, alongside Wi-Fi 7 and Bluetooth 5.1 support.
Acer’s messaging emphasises privacy, cost control, and latency reduction, three areas where cloud-based AI services often fall short.
By enabling inference and data handling locally, the Veriton GN100 aims to keep sensitive data under internal governance, which is relevant for UK organisations bound by GDPR compliance.
The company also claims predictable expenses compared to fluctuating pay-per-use cloud pricing, though long-term cost comparisons remain untested.
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 is listed from €3,999 in EMEA, with pricing and availability varying by region.
Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. Make sure to click the Follow button!
And of course you can also follow TechRadar on TikTok for news, reviews, unboxings in video form, and get regular updates from us on WhatsApp too.
Acer Veriton GN100 uses NVIDIA’s GB10 chip for extreme AI acceleration Acer’s mini workstation delivers one petaflop performance in a 1.2-kilogram chassis Two GN100 units can link together to manage huge model sizes Acer has introduced the Veriton GN100 AI mini workstation, a small desktop device that claims to deliver…
Recent Posts
- Cyberdecks used to look like little laptops, but now they’re getting more personal
- Canada Prime Minister Mark Carney announces questionable national AI strategy
- Kevin O’Leary agrees to downsize massive Utah data center
- This HP Omen 16 deal with RTX 5050 graphics is a steal for video editing — and I can’t find it cheaper anywhere else
- Amazon’s new plan for games: James Bond and AI Snoop Dogg
Archives
- June 2026
- May 2026
- April 2026
- March 2026
- February 2026
- January 2026
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023