Im an outsider to data center operations, but I work in machine learning. My suspicion is that this will be driven by either the next-Gen or next-to-next-Gen GPUs/AI accelerators. It’s the curse of the field that no matter how fast the chips get, and how much memory bandwidth they get, it’s never fast enough for the state-of-the-art research. So it’s probably naturally going to require some form of liquid cooling as the chips continue to get bigger and faster. And companies that build their business around machine learning will need to adopt these deployment patterns to stay on the cutting edge.