Discover how the GIGABYTE AI TOP ATOM brings AI supercomputing to the desktop – specs, features and what it means for creators and developers.
Until very recently, working with artificial intelligence models meant relying on distant clouds, remote data centers, and unaffordable computing bills. Today, that barrier is beginning to be diluted. GIGABYTE’s new AI TOP ATOM, a compact desktop supercomputer, heralds that the era of local AI is no longer promising but present. Its power is not disguised as futurism: it is available, tangible and ready to be installed on any work table.
20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm; 128GB LPDDR5x Unified RAM; 4TB NVMe M2 SSD Blackwell Architecture, 10GbE, WIFI 7, Bluetooth 5.3
This device marks the official start of a new category of hardware: the personal super PC geared toward AI workloads. Presented by GIGABYTE, and now available in Spain, the TOP ATOM AI is designed for developers, researchers, and professionals who need to deploy large-scale models without relying on cloud infrastructure. The system offers an unusual combination of data center performance and desktop design. All with a specific focus on generative AI, machine learning, and advanced model fine-tuning.
At the heart of AI TOP ATOM is the NVIDIA Grace Blackwell GB10 chip, a processor that embodies the transition from AI to local. The computer includes 128 GB of unified memory and supports up to 4 TB of SSD storage. Its computing capacity reaches up to 1 petaflop, which allows it to handle language models with up to 200 million parameters without the need for an external connection. If two units are connected to each other, this figure rises to 405,000 million parameters, approaching the current limits of large-scale training.
But raw power isn’t everything. AI TOP ATOM comes integrated with NVIDIA’s AI software stack, a suite that provides libraries, development frameworks, and tools optimized to accelerate every phase of the model lifecycle—from creation to inference. In addition, GIGABYTE incorporates its own AI TOP interface, a graphical environment designed to facilitate the fine-tuning, testing, and deployment of large language models (LLMs) and multimodal models (LMMs) in a simple and efficient manner.
The target audience of this machine is broad and ambitious. It is not only aimed at research centers or large technical departments but also at advanced students, professionals in the area, small AI startups, and university laboratories that until now could not access this level of computing. In terms of cost and scalability, it is presented as a strategic alternative to the intensive use of cloud platforms, especially for those who need controlled, constant and latency-free environments.
Beyond its performance, TOP ATOM AI raises a fundamental question: what does it mean to develop AI locally? The ability to train, test, or refine models without sending data to external servers has clear advantages in terms of privacy, security, and autonomy. In addition, it allows you to iterate faster and reduce the recurring cost of using cloud services. This decentralization of computing power not only empowers the user but can also redefine the pace and direction of AI innovation.
From my point of view, the AI TOP ATOM is more than just a powerful piece of equipment: it is a statement of principles. At a time when AI is becoming critical infrastructure, GIGABYTE is proposing to give control back to those who employ it. The future of model development won’t just be decided in data centers—it will also be written from individual desks, where power is at your fingertips.
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