arizqi/cpubrrr
Frontier-class LLM inference on a laptop CPU — gpt-oss:20b at ~110 tok/s on Apple M4 Max, 7.5x llama.cpp, no GPU. From-scratch NEON/SME kernels in Rust.
57
Stars
6
Forks
36.2
Radar Score
Rising
Momentum
Scoring Breakdown
Impact18.0
Velocity42.6
Health56.3
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Rust
Why it ranks
Steady growth — consistently collecting stars and contributors.
AI Infrastructure · model servingTop 69% globally
Popular Alternatives & Competitors
Top projects in the same category (AI Infrastructure) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
36.2
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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