Strengths
- Enables GPU acceleration via CUDA bindings.
- Supports automatic parallelization of training.
- Provides stable and preview builds for different needs.
- Backed by the PyTorch Foundation for long-term stability.
- Used in production systems like ChatGPT and Tesla Autopilot.
Limitations
- Installation can fail to detect CUDA with certain pip links from the official site.
- Version mismatches between torch and torchvision during pip installs.
- Requires Python 3.10 or later for the latest stable version.