Engineering BlogAugust 2026
Jeff Dean Named the 1,000× Energy Penalty in AI Inference. PhantaField Designed the Chip That Deletes It
By PhantaField Architecture TeamIn a Y Combinator interview, Google's Chief Scientist said moving data from HBM costs ~1,000× more energy than the multiply it feeds — and that batching exists only to amortize that penalty, at the price of latency. Sophon's architecture collapses the factor to ~3×, and the consequences are exactly the ones Dean asked for.
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