GIGABYTE Showcases NVIDIA-Powered AI Solutions from Desktop to Enterprise Scale at GISEC Global 2026
DUBAI(News Desk):: GIGABYTE Technology is showcasing its latest NVIDIA-powered artificial intelligence infrastructure at GISEC Global 2026, highlighting solutions designed to support AI development from individual desktops to large-scale enterprise data centres.
A key highlight of the company’s showcase is the GIGABYTE AI TOP ATOM, a compact personal AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip. The system delivers up to 1 PFLOPS of FP4 performance and is designed for local AI development, model fine-tuning, data science and secure handling of sensitive information.
The plug-and-play system offers 1TB to 4TB of storage and can support four-node clustering through USB-C connections, providing up to 512GB of unified memory. The solution enables developers and small and medium-sized businesses to develop and test AI models locally while maintaining greater control over their data before scaling projects to enterprise data centres or cloud platforms.
Also featured at the event is the GIGABYTE W775-V10, a high-performance deskside AI workstation powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. It delivers up to 20 PFLOPS of FP4 performance and 748GB of coherent memory, with the capability to support up to 400 concurrent requests.
Jay Lee, GM META at Giga Computing, said the availability of powerful local AI infrastructure gives smaller teams an opportunity to develop and test AI applications without relying exclusively on expensive cloud resources or shared computing clusters.
The company said its solutions are aimed at giving organisations greater flexibility to develop AI locally and then seamlessly scale successful workloads to enterprise infrastructure or the cloud.
Visitors to GISEC Global 2026 can experience GIGABYTE’s AI infrastructure solutions at Hall 2-D82, where the company is demonstrating its approach to scalable AI computing for developers, businesses and enterprises.
