GIGABYTE has officially introduced its new AI TOP ATOM system, a breakthrough that brings data center–level artificial intelligence performance to the desktop. Powered by NVIDIA’s cutting-edge Grace Blackwell GB10 Superchip, the AI TOP ATOM is designed to accelerate on-premises AI development, model training, and inference workloads.
Desktop supercomputing powered by NVIDIA Grace Blackwell
AI TOP ATOM is specifically built for enterprise-grade on-premises AI development environments. Based on NVIDIA’s Grace Blackwell GB10 Superchip architecture, the system can run large language models (LLMs), multimodal models (LMMs), and machine learning (ML) applications directly on a desktop scale.
The device features 128 GB of unified system memory and up to 4 TB of SSD storage, delivering up to 1 petaFLOP of AI performance. This allows users to process models with up to 200 billion parameters locally. For more demanding workloads, two AI TOP ATOM systems can be linked together, enabling simultaneous execution of models with up to 405 billion parameters.
Despite its immense power, the system maintains a compact form factor, ensuring smooth operation even in limited spaces. This design makes data center–grade performance accessible not only to organizations but also to independent developers looking for advanced AI capabilities on their desks.
AI TOP ATOM also stands out for its software integration. The system is fully compatible with the NVIDIA AI software suite, which includes libraries, frameworks, and tools for generative AI workloads enabling faster prototyping, fine-tuning, and inference.
In addition, GIGABYTE’s proprietary AI TOP Utility software integrates seamlessly with the system, providing an intuitive interface that allows users to train, test, and manage models efficiently. With this combination of hardware and software, AI development is no longer confined to large data centers — it’s now achievable directly on the desktop.
