Gigabyte Launches AI TOP: A Revolutionary Tool for Local AI Fine-Tuning

GIGABYTE Introduces Groundbreaking AI TOP Utility for Seamless Local AI Fine-Tuning

GIGABYTE TECHNOLOGY Co. Ltd released the GIGABYTE exclusive groundbreaking AI TOP Utility. With reinvented workflows with no-code input, user-friendly interface, and real-time progress monitoring, AI TOP Utility provides a reinventing touch of local AI model training and fine-tuning. It features a variety of groundbreaking technologies that can be easily adapted by beginners or experts, for most common open-source LLMs, in any place even on your desk. The GIGABYTE AI TOP Utility is now ready to be downloaded on the GIGABYTE website.

Gigabyte releases AI software to help train your own AI -- AI TOP utility taps Gigabyte motherboards, GPUs, SSDs, and power supplies to fine-tune local AI model training

Gigabyte has officially released its new local AI model training and fine-tuning utility to work with a new line of AI-targeted hardware. Using the new utility with Gigabyte's recommended hardware, users can locally train and fine-tune AI models with up to 236 billion parameters or more. Previously, training an AI model this size would typically require the help of a remote data center. The new Linux-based AI TOP utility works with hardware Gigabyte and was explicitly designed to run AI models. The list includes motherboards, AI TOP-branded SSDs, graphics cards, and power supplies. Currently, the dedicated website comprises just a single power supply and motherboard. It also lists two SSDs and three graphics cards. According to the press release, Other Gigabyte graphics cards should work with AI TOP. These include Gigabyte's Nvidia GeForce RTX 40 series graphics cards, AMD Radeon RX 7900 series, Radeon Pro W7900, and W7800 series. AI TOP is already set up to support more than 70 open-source LLM models on Hugging Face. These include Baichuan 2, Distill-GPT2, GLM4, Llama 2 and Llama 3, and more. While Hugging Face lists more than 770,000 different models, the selection in AI TOP is limited by several factors, including memory capacity limitations in what is effectively still desktop PC hardware. By performing the AI model fine-tuning locally, users can be more assured their sensitive data remains secure and private when training the model. Users don't need AI programming skills to use the tool, and a dashboard makes monitoring hardware loading states and training quality easy. Gigabyte has simplified what used to be sophisticated command parameters for training AI models into customizable settings and easy-to-operate fine-tuning options. It provides what Gigabyte calls a "friendly graphical user interface" to help beginners and more experienced users understand the information and settings. Gigabyte's software also includes its AI TOP Tutor, AI technology to help with consultation for AI TOP solutions, setup guidance, and technical support for beginners and advanced AI model operators. The utility only runs under Linux and is available as a free download from Gigabyte's web page.

This new free tool lets you train AI models on your own | Digital Trends

Gigabyte has announced the launch of AI TOP, its in-house software utility designed to bring advanced AI model training capabilities to home users. Making its first appearance at this year's Computex, AI TOP allows users to locally train and fine-tune AI models with a capacity of up to 236 billion parameters when used with recommended hardware. AI TOP is essentially a comprehensive solution for local AI model fine-tuning, enhancing privacy and security for sensitive data while providing maximum flexibility and real-time adjustments. According to Gigabyte, the utility comes with a user-friendly interface and has been designed to help beginners and experienced users easily navigate and understand the information and settings. Additionally, the utility includes AI TOP Tutor, which offers various AI TOP solutions, setup guidance, and technical support for all types of AI model operators. Currently, the software supports over 70 open-source LLM models from Hugging Face, including popular options such as Baichuan 2, Distill-GPT2, GLM4, Llama 2, and Llama 3. Despite Hugging Face hosting over 770,000 models, AI TOP's selection is limited by the memory capacity constraints inherent in desktop PC hardware. Recommended Videos The free-to-use software is optimized for Gigabyte hardware, including motherboards, SSDs, graphics cards, and power supplies. Supported GPUs include most of Gigabyte's Nvidia GeForce RTX 40 series, AMD Radeon RX 7900 series, and Radeon Pro W7900 and W7800 series. For optimal performance, Gigabyte has listed AI TOP-branded hardware on its dedicated website, featuring a power supply, a motherboard, two SSDs, and three graphics cards. Training AI models locally offers enhanced privacy and security by keeping data on your system, cost efficiency by avoiding cloud service fees, and faster processing with reduced latency. It provides customization and control over the training environment, allows offline capabilities, and enables scalable hardware resource management. Users benefit from immediate feedback and iteration, eliminating data transfer limitations, and making full use of existing hardware. This approach fosters hands-on learning and experimentation, making it ideal for novice and experienced users seeking a secure, flexible, and efficient AI training solution. You can download the AI TOP utility free of cost from Gigabyte's official web page. While it is available for all users, it is only supported on Linux systems.