Open models may end up needing more compute, memory, and networking
BenBajarin · x · 2026-07-23
The post argues that open models may end up requiring more compute, memory, and networking than closed models. The implication is that even if open models dominate adoption, total compute demand could still rise.
- Open models are framed as infrastructure-heavy.
- Memory and networking overhead matter, not just raw model quality.
- The conclusion is that compute spend could stay high even in an open-model world.
Related event: Open Models May Drive Greater Hardware Demand(2 posts)→
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