GIGABYTE AI TOP is a groundbreaking desktop solution that empowers developers to train their own AI models locally. Featuring advanced memory offloading technology and support for open-source LLMs, LMMs, and other machine learning models, it delivers enterprise-grade performance in a compact desktop form factor. This solution enables both AI beginners and professionals to build, fine-tune, and deploy state-of-the-art models with enhanced privacy, flexibility, and security.
Charles Le
Dr. Charles Le currently serves as Chief Technology Officer of Channel AI Solutions at GIGABYTE. He leads the AI software division and is the architect behind GIGABYTE’s flagship platform, AI TOP Utility, which empowers developers and enterprises to train and deploy large AI models with ease.
He is an expert in the training, finetuning, and inference of LLMs, LMMs, and other machine learning models, with deep knowledge across algorithm design, hardware acceleration, and system integration.
Before joining GIGABYTE, Dr. Le spent four years applying deep learning to the development of radiative cooling materials for marine robotics. He also has six years of experience in structural health monitoring and modal identification for infrastructure under dynamic loads such as earthquakes and wind. More recently, he has applied AI to enhance business intelligence, hardware R&D, and service AI assistants using tools like LangChain and LLM deployment.