How Hybrid Systems Meet AI’s Evolving Thermal Demands
Introduction AI models are growing at a geometric pace. Training large language models often requires thousands of GPUs running in parallel, with each GPU consuming more than 500 watts—and future chips may even surpass 1,000 watts. Such high energy use drives rack heat density to extreme levels, making traditional air cooling insufficient for managing hotspots. At the same time, [...]