Memory Gigabyte AI TOP ATOM ARM Personal AI System ATAGB10-9002 128GB LPDDR5x - official importer

Gigabyte AI TOP ATOM - Personal AI SuperComputer, 128GB / 1TB on the DGX Spark Platform

Gigabyte's AI TOP ATOM is a personal AI superComputer in a compact, power-efficient desktop form. Built on the DGX Spark platform, it carries 128GB of unified LPDDR5x memory and 1TB of storage, and is designed to develop and run models locally right from your desk.

Purpose and platform

The device is built to accelerate the entire AI workflow in a desktop-friendly footprint. It suits AI developers, researchers, students, hobbyists and data scientists who want to run local AI workloads. Typical uses span rapid prototyping, fine-tuning pre-trained models with your own private data, inference for running personal AI assistants, and a full data-science pipeline that goes from exploratory analysis through to building predictive models.

Capabilities and AI performance

At its heart beats the NVIDIA GB10 Grace Blackwell Superchip together with fifth-generation Tensor cores, supplying the processing muscle that today's demanding AI workloads call for. The 128GB of unified memory lets you hold and process large models locally, so you can move between prototyping, fine-tuning, inference and data science on a single system. Working locally keeps data private, allows a fast iteration cycle and gives you full control without relying on the cloud.

Connectivity, storage and compatibility

Local storage of 1TB provides fast room for datasets, models and projects, removing the need to push everything to the cloud. The DGX Spark platform's ground-breaking architecture is tuned specifically for AI tasks, from prototyping and fine-tuning through to inference and edge AI. Thanks to its strong performance and compact design, the unit is equally at home deploying edge systems such as robotics and multimodal intelligence at the edge.

• Category: personal AI superComputer
• Platform: DGX Spark
• Chip: NVIDIA GB10 Grace Blackwell Superchip
• Cores: fifth-generation Tensor cores
• Unified memory: 128GB LPDDR5x
• Storage: 1TB fast local
• Use: prototyping · fine-tuning · inference · data science · edge AI