Acer today introduced the Veriton GN100 AI Mini Workstation, a compact and powerful device designed to handle large AI models locally. By enabling on-device processing, the Veriton GN100 helps minimize dependence on cloud services, allowing organizations and individuals to reduce costs while maintaining control over their AI workloads.
High-Performance Hardware Powered by NVIDIA Grace Blackwell Superchip
The Acer Veriton GN100 is built on the NVIDIA GB10 Grace Blackwell Superchip. This technology delivers up to 1 PFLOPS of FP4 AI performance, providing developers and enterprises with significant computing power. The system combines next-generation CUDA cores, fifth-generation Tensor Cores, and 20 Arm-based CPU cores. With this combination, the Veriton GN100 offers the performance of a server-grade machine in a compact mini-PC form factor.
To support demanding workloads, the device comes with 128 GB of unified system memory and 4 TB of NVMe M.2 SSD storage. This configuration makes it possible to run large-scale AI models efficiently and handle high-intensity data processing tasks without requiring external cloud support. For users who need reliable, consistent performance, these specifications place the Veriton GN100 in a unique position within the AI workstation market.
Full-Stack AI Development Environment
The Acer Veriton GN100 includes the NVIDIA AI software stack, giving developers a complete environment to build, test, and deploy AI applications. This full-stack solution enables professionals to work with popular frameworks and tools such as PyTorch, Jupyter, and Ollama. By integrating these frameworks, developers, researchers, data scientists, and students can prototype, fine-tune, and deploy large language models directly on the workstation.
The ability to run and test locally gives users more flexibility and speed while still offering seamless scalability to accelerated cloud or data center infrastructure when needed. This approach supports experimentation and development at all stages, from early prototypes to production-level AI applications.
Scalable Performance for Large AI Models
For organizations handling massive AI models, scalability is a critical requirement. Thanks to the NVIDIA ConnectX-7 NIC, two Acer Veriton GN100 units can be linked to expand computing capacity. This configuration allows users to work with AI models reaching up to 405 billion parameters. By combining two units, the system provides researchers and enterprises with the ability to scale operations without requiring a traditional large server setup.
This scalability makes the Veriton GN100 suitable for advanced AI research, natural language processing, and other demanding workloads that rely on large-scale model training and deployment.

Connectivity and Security Features
The Acer Veriton GN100 balances performance with connectivity and security. The workstation supports Wi-Fi 7, ensuring fast and reliable wireless connectivity for data transfers and online operations. For wired connections, it includes four USB 3.2 Type-C ports, an HDMI port, and an Ethernet jack. These options provide flexibility for integrating the workstation into existing setups.
Security has also been considered in the design. The device comes equipped with a Kensington lock, giving users an additional layer of physical protection. These connectivity and security features help ensure that the workstation can be seamlessly integrated into offices, research facilities, and educational institutions.
Pricing and Availability
Exact specifications, pricing, and availability for the Acer Veriton GN100 will vary by region. Interested customers are encouraged to visit www.acer.com or contact their nearest Acer office to learn more about local product details, configurations, and prices.
The Veriton GN100 AI Mini Workstation reflects Acer’s focus on delivering high-performance solutions for professionals working in AI development and deployment. With its powerful hardware, comprehensive software stack, scalability, and secure connectivity, the Veriton GN100 offers a compact yet capable platform for advancing AI innovation.
Specifications
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 of FP4 AI 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 connector, NVIDIA ConnectX-7 Smart NIC |
Networking | Wi-Fi 7, Bluetooth 5.1 or above |
Network Interface Card | NVIDIA ConnectX-7 Smart NIC |
Security | Kensington lock, Local AI Model Execution (data privacy) |
Dimensions/Weight | 150 (W) x 150 (D) x 50.5 (H) mm (5.91 x 5.91 x 1.99 inches)/ less than 1.5 kg |