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Hyperpod Version Checker

AWS LabsOfficialPublished by AWS Labs

  • Skill
  • Review and audit
  • Cloud and DevOps
  • Apache-2.0
  • Low risk
  • Has scripts

From the author

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), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches across nodes, planning upgrades, documenting cluster configuration, or troubleshooting version-related issues on HyperPod. Triggers on requests about versions, compatibility, component checks, or upgrade planning for HyperPod clusters.
— the description by AWS Labs

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The HyperPod Version Checker is a diagnostic tool designed to audit the software stack on SageMaker HyperPod cluster nodes. It systematically detects versions of critical components including NVIDIA drivers, CUDA toolkits, deep learning libraries like NCCL and PyTorch, networking stacks like EFA, and AWS Neuron SDKs for Trainium/Inferentia instances. By providing both human-readable reports and machine-parseable JSON output, it enables administrators to verify cluster-wide consistency, validate compatibility between drivers and toolkits, and troubleshoot environment-related issues during distributed training or inference workloads.

What it does

  • Detects versions for NVIDIA drivers, CUDA, cuDNN, NCCL, EFA, and MPI.
  • Identifies versions for AWS Neuron SDK, Python, PyTorch, and container runtimes.
  • Generates detailed text reports or structured JSON output for automated analysis.
  • Provides built-in compatibility reference tables for drivers, CUDA, EFA, and NCCL.
  • Supports multi-node comparison workflows when executed across a cluster.
  • Allows for custom output file paths and logging-friendly console output.

When to use it

  • When verifying software consistency across all nodes in a HyperPod cluster.
  • During troubleshooting of version-related errors in distributed training jobs.
  • When planning upgrades for drivers, CUDA toolkits, or AWS Neuron SDKs.
  • To document the current configuration state of a cluster for audit purposes.
  • When validating compatibility between installed GPU drivers and CUDA versions.

Advantages

  • Reduces manual effort in checking complex software stacks on individual nodes.
  • Facilitates easy diffing of node configurations using JSON output.
  • Includes reference data to quickly spot incompatible driver and library combinations.
  • Supports both interactive debugging and automated logging workflows.

Usage examples

“Check the current software versions on this HyperPod node.”
The script executes and outputs a formatted text report listing all detected versions for drivers, CUDA, and ML libraries.
“Generate a JSON report of all installed components for comparison.”
The script outputs structured JSON to stdout, which can be piped to a file or a comparison tool to identify version mismatches across the cluster.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/awslabs/hyperpod-version-checker/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip hyperpod-version-checker.zip -d .agents/skills

Documentation by AWS Labs

HyperPod Version Checker

Upload to cluster nodes via hyperpod-ssm skill, then execute.

Usage

# Text report to console + file
bash hyperpod_check_versions.sh

# JSON only to stdout (text report still saved to file) — best for piping/parsing
bash hyperpod_check_versions.sh --json

# Custom output file
bash hyperpod_check_versions.sh --output /tmp/versions.txt

# No color (for logging)
bash hyperpod_check_versions.sh --no-color

Output file: component_versions_<hostname>_<timestamp>.txt (default)

What It Checks

ComponentDetection MethodApplicable When
NVIDIA Drivernvidia-smiGPU instances (p3/p4/p5/g5)
CUDA Toolkitnvcc, /usr/local/cuda symlinkGPU instances
cuDNNHeader file, packagesGPU instances doing deep learning
NCCLLibrary filename, header, packagesDistributed GPU training
EFA/opt/amazon/efa_installed_packages, fi_infoEFA-capable instances (p4d/p4de/p5/trn1/trn2)
AWS OFI NCCLefa_installed_packages, library searchEFA + NCCL workloads
GDRCopyrpm/dpkg, kernel moduleGPU instances with RDMA (p4d+/p5)
MPImpirun, /opt/amazon/openmpiDistributed training
Neuron SDKneuronx-cc, neuron-ls, packagesTrainium/Inferentia (trn1/trn2/inf1/inf2)
Python/PyTorchpython3, torch importML workloads
Container runtimedocker, containerd, kubectl, nvidia-ctkEKS clusters

Multi-Node Comparison

Run on each node individually via the hyperpod-ssm skill. With --json, stdout is clean JSON for easy diffing.

Compatibility Reference

The script automatically analyzes CUDA/driver compatibility. For reference:

Driver SeriesSupported CUDA
580+13.x, 12.x, 11.x
570+12.8+ (Blackwell), 12.x, 11.x
545+12.3-12.7, 11.x
525-53512.0-12.2, 11.x
450+11.x only

NCCL: Use 2.18+ for CUDA 12.x, 2.12+ for CUDA 11.x. Must be consistent across all nodes.

EFA InstallerAWS OFI NCCL
1.29+v1.7.3+ (recommended)
1.26-1.28v1.7.0-v1.7.2
1.20-1.25v1.6.0+

Files

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Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python, Needs Node.js

Security

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Attribution and licence

Published by
AWS Labs
Publisher
AWS Labs (Official)
Source
awslabs/agent-plugins · plugins/sagemaker-ai/skills/hyperpod-version-checker · commit fbefb37
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download hyperpod-version-checker.zip