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Testing & security
Rapid MLX Performance Workflow
Investigate Rapid MLX performance, prototype changes, benchmark results, and prepare reviewed improvements.
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raullenchai
Testing AI Skills
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Testing & security
Ponytail: Benchmark Scoreboard
Display Ponytail’s recorded benchmark results for code size, cost and execution speed.
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DietrichGebert
Apply practical large-model training and operations guidance, and evaluate GPU cluster performance and readiness.
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Evaluates an ML GPU cluster for a cloud trial or acceptance test: environment dump, isolated newest PyTorch, matmul FLOPS (MAMF/MSMF) on every GPU while the others compute, intra-node all-reduce bandwidth and per-call latency of every collective, the same inter-node on every node you were given (omit those sections if there is only one node), fio on local disk and shared FS, dated markdown report.
19.5KStars1.3KForks
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About Testing AI skills
Find skills for checking software behavior and examining code for defects and security issues.
- Test web applications
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- Examine security and quality