Maybe it's just me misunderstanding, but to me "inference" and "training" are one and the same. But the article defined it thus:<p>This first generation of TPUs targeted inference (the use of an already trained model, as opposed to the training phase of a model, which has somewhat different characteristics)<p>This Nvidia article treats them differently, too: <a href="https://blogs.nvidia.com/blog/2016/08/22/difference-deep-learning-training-inference-ai/" rel="nofollow">https://blogs.nvidia.com/blog/2016/08/22/difference-deep-lea...</a><p>But the definition of "statistical inference" on Wikipedia says "Statistical inference is the process of deducing properties of an underlying distribution by analysis of data" which seems exactly like training.