awslabs/hyperpod-version-checker
plugins/sagemaker-ai/skills/hyperpod-version-checker/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add awslabs/agent-plugins hyperpod-version-checkerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 17, 2026, 3:30 AM142.9s2 files scanned
SKILL.md
- name:
- hyperpod-version-checker
- description:
- 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.
- version:
- 1.0.0
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
| Component | Detection Method | Applicable When |
| ----------------- | ----------------------------------------------- | --------------------------------------------- |
| NVIDIA Driver | nvidia-smi | GPU instances (p3/p4/p5/g5) |
| CUDA Toolkit | nvcc, /usr/local/cuda symlink | GPU instances |
| cuDNN | Header file, packages | GPU instances doing deep learning |
| NCCL | Library filename, header, packages | Distributed GPU training |
| EFA | /opt/amazon/efa_installed_packages, fi_info | EFA-capable instances (p4d/p4de/p5/trn1/trn2) |
| AWS OFI NCCL | efa_installed_packages, library search | EFA + NCCL workloads |
| GDRCopy | rpm/dpkg, kernel module | GPU instances with RDMA (p4d+/p5) |
| MPI | mpirun, /opt/amazon/openmpi | Distributed training |
| Neuron SDK | neuronx-cc, neuron-ls, packages | Trainium/Inferentia (trn1/trn2/inf1/inf2) |
| Python/PyTorch | python3, torch import | ML workloads |
| Container runtime | docker, containerd, kubectl, nvidia-ctk | EKS 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 Series | Supported CUDA | | ------------- | ----------------------------- | | 580+ | 13.x, 12.x, 11.x | | 570+ | 12.8+ (Blackwell), 12.x, 11.x | | 545+ | 12.3-12.7, 11.x | | 525-535 | 12.0-12.2, 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 Installer | AWS OFI NCCL | | ------------- | --------------------- | | 1.29+ | v1.7.3+ (recommended) | | 1.26-1.28 | v1.7.0-v1.7.2 | | 1.20-1.25 | v1.6.0+ |
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