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Amazon Web Services · GPU and accelerator computing
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Runs ML training and batch jobs across clouds with SkyPilot, using spot instances, automatic region selection and managed recovery to cut GPU cost. | Orchestra-Research/ | 13k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | A skill your agent uses for GPU training or inference clusters on SageMaker HyperPod (Slurm or EKS), ParallelCluster, or self-managed EC2/EKS GPU instances. | aws/ | 103 | — | ~5.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. | awslabs/ | 916 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)… | awslabs/ | 916 | — | ~910 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Diagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce / collective-op timeouts, EFA or libfabric errors, rendezvous failures… | awslabs/ | 916 | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
