Ru

Running Gemma-4 26B at 124 tokens/SEC on a CPU, no GPU

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Running Gemma-4 26B at 124 tokens/SEC on a CPU, no GPU

I wanted to know how fast a 26B mixture-of-experts model could run on a desktop CPU with no GPU. Got ~40 tok/s single-stream (lossless) and ~124 batched. The surprising part was the byte budget: for this model you compress the output head (32% of per-token bytes), not the experts (16%). The writeup has the bandwidth roofline and the dead-ends; the repo has the reproducible recipe. Happy to answer questions. Repo: https://github.com/arun-prasath2005/gemma4-cpu-moe

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best fitHighest predicted score across all platforms for this description.
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60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
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8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

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