Liquid Cooling for AI: JetCool and Broadcom Team Up

JetCool has announced a collaboration with Broadcom to develop liquid cooling solutions specifically designed for chips used in artificial intelligence applications. The partnership aims to address the challenges posed by the increasing power density in modern AI processors.

Liquid cooling is becoming a necessity for high-performance AI systems, as it allows for more efficient heat dissipation compared to traditional air-based methods. This is particularly important for chips powering large language models (LLMs) and other deep learning applications, where the required computing power is constantly growing.

For those evaluating on-premise deployments, there are CapEx and OpEx trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.