#1
Cross-Platform Installation and GPU Compatibility
34 issues · 8.3 demand · Developer Experience
Users are encountering multiple installation failures and compatibility issues across Windows, Apple Silicon, ARM64, and various GPU architectures (Pascal, Blackwell, Jetson Orin). These include PyTorch installation failures in restricted network environments, environment conflicts with Anaconda/Google Colab, missing GPU support for specialized hardware, and platform-specific issues like Windows ACL inheritance and CUDA library path conflicts. Users need resilient installation options with configurable sources and better fault tolerance.