No longer supported for local development, though host tools for profiling remote targets are available. Installation Guide: Step-by-Step 1. Windows Installation CUDA Toolkit 11.7 Downloads - NVIDIA Developer
Before starting your download, ensure your hardware and environment are compatible: cuda 11.7 download
| Field | Reason for Sticking with CUDA 11.7 | |-------|-------------------------------------| | | PyTorch 1.13–2.0 and TensorFlow 2.11–2.13 were precompiled against CUDA 11.7. | | Academic Research | Older codebases, published experiments with environment lock-in. | | Enterprise AI | Internal pipelines validated on CUDA 11.7 – recertification for newer CUDA is resource-intensive. | | Driver Constraints | Legacy datacenter GPUs (e.g., V100, T4) with older driver versions (R515 or earlier) that do not support CUDA 12+. | No longer supported for local development, though host