There are a few companies doing analog compute-in-memory for ML. Usually on flash processes. Maybe cerebras could fit well for that. As for the models of the

There are a few companies doing analog compute-in-memory for ML. Usually on flash processes. Maybe cerebras could fit well for that. As for the models of the future getting much bigger - is the GPT family representative ? Are we seeing the same growth is in other domains ? And isn't there a big niche for smaller than GPT models ?