whether that's data centers or even more conservative is TSMC the chip infra people uh and so data centers historically were built like AI data centers they were built for training uh and training is the superset workload over inference you can make any training cluster work for inference but maybe not vice versa and what the difference there is networking uh how much do you invest in bandwidth between chips and how large of a cluster do you need? There's actually a diseconomy of scale to to data centers in some way. Like it's way more expensive and difficult to build a
whether that's data centers or even more conservative is TSMC the chip infra people uh and so data centers historically were built like AI data centers they were built for training uh and training is the superset workload over inference you can make any training cluster work for inference but maybe not vice versa and what the difference there is networking uh how much do you invest in bandwidth between chips and how large of a cluster do you need?