{"library":"nvidia-nccl-cu13","type":"library","category":null,"description":"The `nvidia-nccl-cu13` package provides the NVIDIA Collective Communication Library (NCCL) runtime specific to CUDA 13.x. NCCL is a library of standard routines for inter-GPU communication, optimized for NVIDIA GPUs. It is primarily used as a backend by deep learning frameworks like PyTorch and TensorFlow for distributed training on multi-GPU systems. This package does not expose a direct Python API for end-users but provides the necessary shared libraries. It's released in conjunction with NVIDIA CUDA Toolkit versions.","language":"python","status":"active","version":"2.29.7","tags":["nvidia","cuda","deep-learning","distributed-computing","nccl","runtime","gpu","pytorch","tensorflow"],"install":[{"cmd":"pip install nvidia-nccl-cu13","imports":["This package primarily provides shared library files (e.g., libnccl.so) that deep learning frameworks (like PyTorch or TensorFlow) link against. It does NOT expose a direct Python API for end-user import."]}],"homepage":"https://developer.nvidia.com/cuda-zone","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/nvidia-nccl-cu13/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":4.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/nvidia-nccl-cu13/compatibility"},"provenance":{"verified_status":"skip","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}