Application overview
PyTorch publishes platform and compute-specific installation guidance. Select the operating system, package manager, language, and accelerator configuration in the official installer before deploying to a cluster.
Typical use cases
Model development and machine-learning workloads.
HPC compatibility
Compatibility details shown here reflect administrator-maintained project information. Review the upstream release documentation against your exact operating system, drivers, accelerator, MPI stack, and cluster policy before deployment.
The official installer offers CPU and accelerator build options; select a build compatible with the installed operating system, drivers, and accelerator.
Upstream references
- Project homepage ↗
- Source repository ↗ Link status: Verified
- Documentation ↗
- Download / package page ↗
Link details last reviewed 2026-10-12 by MCR Tech. Project versions, licenses, hardware behavior, and hosted model access can change; follow current upstream terms.
Report a broken link or incorrect guideNeed help with PyTorch?
Send us the software version, environment and error details. Never include passwords, keys, access tokens, private data or raw credential-bearing logs.
Request installation help