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answer: direct
beat: ai-technology
source: 1 article · updated: October 17, 2026
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Why do 23 billion active parameters not mean Beam fits in 128 gigabytes?

Active parameters describe the subset used for a token in a sparse mixture-of-experts model. The remaining experts still need to be stored or fetched somehow, and memory is also used by runtime components and the context cache. Exact requirements depend on format, software and placement strategy.

Answered in

Reflection Beam Is Open-Weight. Your Deployment Still Has a Memory Problem.

Beam’s Apache-licensed weights widen access, but 501 billion total parameters make hosting, memory and evaluation the real decisions.

Crashtech Editorial October 17, 2026 How AI Actually Works

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