AI & LLM Engineering · Amazon Web Services · awslabs/agent-plugins

Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput.

awslabs/agent-plugins

Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters.

awslabs/agent-plugins

Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM).

awslabs/agent-plugins

Selects a base model for the user's use case by querying SageMaker Hub.

awslabs/agent-plugins

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/agent-plugins

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/agent-plugins

Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock.

awslabs/agent-plugins

Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens.

awslabs/agent-plugins