Evolving Liquid Cooling for AI’s Thermal Demands
Artificial intelligence workloads are transforming data centers into extremely dense computing environments. Training large language models, running real-time inference, and supporting accelerated analytics rely heavily on GPUs, TPUs, and custom AI accelerators that consume far more power per rack than traditional servers. While a conventional enterprise rack once averaged 5 to 10 kilowatts, modern AI racks can exceed 40 kilowatts, with some hyperscale deployments targeting 80 to 120 kilowatts per rack.This surge in power density directly translates into heat. Traditional air cooling systems, which depend on large volumes of chilled air, struggle to remove heat efficiently at these levels. As…
