Acer Veriton GN100_2TB
Acer Veriton GN100_2TB
Acer today introduced the Veriton GN100 AI Mini Workstation, a compact yet powerful computer designed to run large AI models locally, minimizing dependence on cloud services and helping reduce associated costs.
The device is built on the NVIDIA GB10 Grace Blackwell Superchip, delivering up to 1 PFLOPS of FP4 AI performance. This powerhouse combines next-generation CUDA cores, fifth-gen Tensor Cores, and 20 Arm-based CPU cores, backed by 128 GB of unified system memory and 4 TB of NVMe M.2 SSD storage. This robust configuration enables server-grade performance in a mini-PC form factor.
The Acer Veriton GN100 includes the NVIDIA AI software stack, providing a full stack solution for AI developers. Developers, researchers, data scientists, and students can leverage common frameworks and tools such as PyTorch, Jupyter, and Ollama to prototype, fine-tune, test, and deploy large language models locally or seamlessly scale out to any accelerated cloud or data center infrastructure.
Thanks to the NVIDIA ConnectX-7 NIC, users can link two Acer Veriton GN100 units to scale up and work with AI models reaching up to 405 billion parameters. Connectivity and security are also prioritized, with Wi-Fi 7, four USB 3.2 Type-C ports, an HDMI port, an Ethernet jack, and a Kensington lock ensuring robust protection and seamless system integration.
The Acer Veriton GN100 AI Mini Workstation is a compact on-premises powerhouse featuring an NVIDIA GB10 Grace Blackwell Superchip that boasts up to 1 petaFLOP of AI performance and is built to run large AI models locally and spark scalable innovation, reducing reliance on cloud services and associated costs.
Developers
Accelerate AI model building locally with the power of an AI supercomputer cost-efficiently in a desktop-friendly size.
Universities & Schools
Provide a preconfigured and optimized solution for students to spark AI development and creative exploration.
Data Scientists
Analyze large datasets efficiently with unified memory and fast compute power.
Researchers
Run complex simulations and experiments with high-speed, scalable AI performance.
Unmatched Speed for AI Workloads
Tackle complex AI tasks with the NVIDIA GB10 Grace Blackwell Superchip, featuring 128GB of unified memory, up to 4TB of NVMe M.2 SSD storage, and up to 1 petaFlop of powerful AI compute performance for software developers, startups, researchers, and schools.
Ultra-Compact, Ultra-Capable
Robust and compact, the Acer Veriton GN100 AI Mini Workstation delivers AI server-level performance in a mini pc form factor without compromising on data size, proprietary model privacy, or the speed of scalability.
Accelerated by the NVIDIA AI Platform
The NVIDIA GB10 and NVIDIA AI software stack provide the most advanced AI platform available for developers to build and run AI workloads and easily scale out to any accelerated cloud or data center infrastructure.
Scalable Network Solutions
Scale your setup with high-performance ConnectX-7, allowing you to connect up to two Acer Veriton GN100 AI Mini Workstations together to work with AI models up to 405 billion parameters.
Built for Real-World AI Use
Developers can use their favorite tools like PyTorch, Jupyter, and Ollama to prototype, fine-tune, and run LLMs locally and then seamlessly deploy them to any accelerated data center or cloud infrastructure.
