In the current era, humanity has fully embraced the age of big data and artificial intelligence. The processing and analysis of big data, as well as the development of foundational AI model training, not only rely on algorithmic evolution and innovation but, most critically, require hardware computational power. Previously, model training was conducted on standard servers or discrete graphics cards. However, companies like NVIDIA have continually introduced specialized AI chips and computers, ushering in a significant revolution in the hardware domain of the AI industry. Recently, at CES on January 6, 2025, NVIDIA’s CEO, Jensen Huang, unveiled a supercomputer named Project DIGITS, designed for AI researchers and data scientists. This small box, comparable in size to an Apple Mac Mini, is equipped with NVIDIA’s GB10 Grace Blackwell superchip (NVIDIA). Unlike traditional graphics GPUs, this product is specifically tailored for AI training and inference tasks. The fifth-generation Tensor ...
Thinking independently about the world, unshackled from dependencies. This is Ning Liu's personal blog, a space dedicated to casual musings