Buy the Gigabyte AI TOP ATOM – Compact AI Workstation for Local LLMs

The Gigabyte AI TOP ATOM brings supercomputer-class performance to your desk: Powered by the NVIDIA GB10 Grace Blackwell superchip with a 20-core ARM processor, this compact system delivers up to one petaFLOP of AI computing power with remarkable energy efficiency. 128 GB of unified memory is shared between the CPU and GPU, allowing you to run language models with up to 200 billion parameters locally—from DeepSeek to Llama to Gemma—without your data ever leaving your home. This unified memory architecture sets the AI TOP ATOM apart from traditional workstations with separate system and graphics memory: the model does not need to be copied between the CPU and GPU, which saves time and energy—especially with very large models.

Built for developing and fine-tuning AI models

With the pre-installed NVIDIA AI software stack and DGX OS, the AI TOP ATOM is ready to go from the very first boot: prototyping, fine-tuning, and inference run locally, and you can seamlessly deploy finished models to the data center or the cloud. Gigabyte’s AI TOP Utility provides an intuitive interface for model management and monitoring. As your project grows, you can link two AI TOP ATOM systems via the integrated NVIDIA ConnectX-7 network card and work with models containing up to 405 billion parameters. The system’s low power consumption compared to a multi-GPU workstation also makes it ideal for continuous operation in the office, without the cooling and noise requirements of larger systems.

Who the AI TOP ATOM Is Suited For

The system is designed for developers, data scientists, and small teams who want to start local AI development without purchasing a traditional multi-GPU workstation—for example, for prototyping that will later be migrated to a larger infrastructure. However, the fixed form factor also means that—unlike with a workstation—components cannot be replaced or upgraded individually; the system comes as a closed unit.

The alternative AI workstation in our lineup

If you’re looking for a freely configurable system with dedicated graphics cards instead of the compact, fixed form factor, you’ll find additional specialty products in our Workstation Technology Highlights section, and via the AI Workstations section, you can explore multi-GPU systems with up to 96 GB of graphics memory per card. If, on the other hand, you’re looking for AI as an add-on feature rather than a dedicated supercomputer, our NVIDIA AI on RTX category offers an easier entry point.

Business customers and public institutions also benefit from dedicated account managers, quotes for bids, purchase on account, or leasing. Contact our B2B team directly—by phone, email, or live chat.