Here's a number that shouldn't work: a 744-billion-parameter Mixture-of-Experts model, running on 25GB of plain CPU RAM. No GPU cluster. No data center. A regular consumer machine.
The trick is in the name — Mixture-of-Experts. Instead of activating all 744 billion parameters for every single token, the model only loads the small subset of "experts" actually needed for that specific input. Most of the model just sits on disk, untouched, until it's relevant.
This is the same logic behind everything I work on with BitFace: you don't need the whole model active to get a smart answer, you need the right part of it active.
Numbers like this quietly kill the assumption that "bigger AI" requires "bigger hardware." Sometimes it just requires smarter routing.
Worth watching if you care about running real AI without a six-figure GPU budget.
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