AI-Hypercomputer/gpu-recipes
Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.
140
Stars
86
Forks
47.5
Radar Score
Rising
Momentum
Scoring Breakdown
Impact36.8
Velocity56.0
Health52.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Strong momentum — adoption is accelerating week over week.
AI Infrastructure · gpu managementTop 46% globally
Popular Alternatives & Competitors
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🛡️ 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
B
Based on maintenance, issue response, and release cadence.
Radar Score
47.5
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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