Acer Veriton GN100 AI Mini Workstation

Key features of the Acer Veriton GN100 AI Mini Workstation

Data centre performance in a miniature body

At the heart of the Acer Veriton GN100 AI is the GB10 Grace Blackwell superchip – a unique combination of a 20-core ARM processor (10× Cortex-X925 + 10× Cortex-A725) and a Blackwell architecture GPU with 5th generation Tensor cores and 4th generation RT cores. Both parts of the superchip are connected by NVLink-C2C technology, which provides 5× the throughput of 5th generation PCIe and allows the CPU and GPU to share a single 128GB pool of unified LPDDR5X memory. The result is tremendous performance that consumes a maximum of 240W and fits on any desk. This shared memory, without the traditional separation of GPU VRAM and system RAM, is a key advantage of the Gigabyte AI TOP ATOM over standard desktop builds – where a GeForce RTX 5090 graphics card offers 32GB of memory, the Acer Veriton GN100 AI provides four times that for AI models, without the need to quantise or split models across multiple devices.

A personal supercomputer that fits on any desk

The Acer Veriton GN100 AI proves that you don't need a server room or a rack full of hardware to run the biggest AI models today. With dimensions of 150×150×50.5mm and a weight of 1.2kg, the Acer Veriton GN100 AI fits on any desk next to a laptop – yet it offers performance that just a few years ago required an entire server full of graphics cards. Four USB-C 4.0 ports with speeds up to 40Gb/s, Wi-Fi 7, 10Gb Ethernet and an HDMI output ensure all accessories can be connected without needing an external hub or docking station. The Acer Veriton GN100 AI is designed for developers, scientists and AI professionals who want the full power of a local personal AI supercomputer without relying on the cloud – right where they work.

NVIDIA AI software ecosystem and task management

The Acer Veriton GN100 AI comes with pre-installed NVIDIA DGX OS – a specially optimised Linux distribution that includes the complete CUDA-X software stack, NVIDIA Container Toolkit and Docker to immediately start developing and deploying AI models without lengthy environment configuration. Access to the extensive NVIDIA NGC catalogue then provides pre-trained models, optimised containers and ready-made reference applications that significantly shorten the time from first launch to a functional AI project.

Fine-tune AI models with up to 70 billion parameters

Use the 128GB of unified memory in the Acer Veriton GN100 AI to fine-tune pre-trained models with up to 70 billion parameters right at your workstation. Training on your own data enables you to specialise AI models for specific needs, industry data, or particular use cases – without sending sensitive data to the cloud or paying for expensive GPU instances. The result is a model tailored precisely to your scenario, created locally, securely, and under your full control.

Acer Veriton GN100 AI facilitates top-tier data science

The combination of 128GB of unified memory and 1 PFLOP of parallel throughput makes the Acer Veriton GN100 AI the ideal workstation for demanding data analysis and machine learning projects. Extensive data sets, complex computational models, and demanding training and analysis processes that previously required a powerful cloud cluster or dedicated server can now run directly on your desk. Fast, local, and without waiting for remote infrastructure.

Inference for models with up to 200 billion parameters

The 5th generation Tensor cores with FP4 format support achieve up to 1 PFLOP of performance. Combined with 128GB of system memory, they let you run inference for state-of-the-art AI models with up to 200 billion parameters right on your desktop. Test, validate, and deploy models like Llama, Gemma, or Qwen locally and in real time – without cloud latency, shared infrastructure, or the risk of sensitive data leaks.

Application development for robotics, industry, and smart cities

The Acer Veriton GN100 AI is an exceptional platform for developing robotic systems, smart city solutions, and computer vision applications. Pre-installed NVIDIA Isaac for robotics, Metropolis for video analytics, and Holoscan for real-time data processing frameworks let developers take full advantage of the Acer Veriton GN100 AI's performance to quickly prototype and deploy applications – locally, without relying on cloud infrastructure, and with full support from the NVIDIA ecosystem.