The Infrastructure Thesis

  AI systems consume enormous amounts of electricity. But electricity used in computation does not simply disappear. It becomes heat. As compute density rises, thermal output rises with it. Every GPU cluster generates heat continuously. And the more powerful the system becomes, the more heat it produces. At small scale, this is manageable. At large scale, heat becomes a constraint. Excess heat reduces performance. Processors begin to throttle when temperatures rise. Sustained high temperatures also shorten hardware lifespan. For large AI clusters, cooling is no longer a secondary concern. It becomes a central infrastructure problem. Modern AI data centers pack thousands of GPUs into dense server racks. These systems consume massive electricity and convert much of it into heat. Traditional air cooling is reaching its limits. Moving enough cold air through dense racks requires enormous energy. And air is not efficient at removing large thermal loads. This is why many AI operators are...