About this Skill
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.
Why we picked it
A task from ML Engineering Skills. Retain the upstream supporting files and follow the repository’s setup instructions.
Before you use it
- The relevant ML stack and cluster access. Cluster evaluation runs hardware/software checks and needs the upstream test dependencies.
Sources & references
Original sources are linked below. Practical starting points are editorial suggestions from SkillHey.
