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-colorOutput 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+ |