Acer has introduced the Veriton GN100 AI Mini Workstation, a desktop-sized yet highly capable system built on the Acer and NVIDIA GB10 Grace Blackwell Superchip. Engineered to run large AI models locally, it minimizes reliance on cloud services while delivering up to 1 PFLOPS of FP4 performance. This makes it an appealing choice for developers, data scientists, and researchers seeking server-grade performance in a compact form factor.
Next-Gen AI Performance in a Small Form
The GN100 leverages a 20-core Arm-based CPU combined with next-generation CUDA and Tensor Cores. Backed by 128 GB LPDDR5x unified memory and up to 4 TB of NVMe storage, the workstation is designed to handle demanding AI workloads. Despite its ultra-compact design, it provides performance levels typically associated with large-scale servers, making it ideal for local prototyping, model training, and inference.
Developer-Friendly AI Stack
Pre-installed with NVIDIA’s AI Software Stack, the Acer Veriton GN100 is ready for work right out of the box. It supports widely used tools like PyTorch, Jupyter, and Ollama, ensuring smooth workflows for AI developers and students. This integration helps reduce setup time, letting users focus on building, fine-tuning, and deploying large language models without additional configuration.
Scalable AI Collaboration
Equipped with NVIDIA ConnectX-7 SmartNIC, the GN100 enables two units to be linked, scaling capacity for AI models with up to 405 billion parameters. This modular scalability ensures the workstation can grow alongside project requirements, whether for academic research or enterprise AI development. Advanced networking options, including Wi-Fi 7, Bluetooth 5.1, and Ethernet connectivity, further enhance system flexibility.
Compact, Secure, and Ready for Work
Weighing less than 1.5 kg and measuring only 5.9 inches square, the GN100 is designed for efficiency and portability. Security is also a focus, with a Kensington lock and local AI execution for privacy. With pricing starting at USD 3,999, Acer positions the GN100 as a cost-effective solution for professional-grade AI performance without the operational costs of cloud services. Availability will vary by region, but this workstation sets a strong benchmark for compact AI computing.
| Specifications | Details |
|---|---|
| Name | Acer Veriton GN100 AI Mini Workstation |
| Model | GN100 |
| Operating System | DGX Base OS & NVIDIA AI Software Stack |
| Processors | 20-core Arm-based processor, up to 1 PFLOPS FP4 performance |
| Graphics | NVIDIA GB10 Grace Blackwell Superchip |
| Memory | 128 GB LPDDR5x Coherent Unified System memory |
| Storage | Up to 4 TB M.2 NVMe with self-encryption |
| Audio | HDMI multi-channel audio output |
| Ports | Four USB 3.2 Type C, HDMI 2.1b, RJ-45, NVIDIA ConnectX-7 Smart NIC |
| Networking | Wi-Fi 7, Bluetooth 5.1+ |
| Network Interface Card | NVIDIA ConnectX-7 Smart NIC |
| Security | Kensington lock, Local AI Model Execution |
| Dimensions/Weight | 150 × 150 × 50.5 mm (5.91 × 5.91 × 1.99 in), < 1.5 kg |
