{"enrichment":{"capability":"NCCL provides GPU collective communication primitives (all-reduce, all-gather, reduce, broadcast, reduce-scatter) optimized for high-bandwidth transfers across PCIe, NVLink, NVswitch, InfiniBand, and TCP/IP.","verdict":"nvidia-nccl-cu13 is an actively maintained library for GPU collective communication in distributed training, with no known vulnerabilities and broad Python version support. However, unclear licensing and platform-specific installation requirements demand careful evaluation before production use."},"id":"nvidia-nccl-cu13","links":{"html":"https://skillfed.io/packages/nvidia-nccl-cu13","md":"https://skillfed.io/packages/nvidia-nccl-cu13.md","pypi":"https://pypi.org/project/nvidia-nccl-cu13/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"unclear","name":"nvidia-nccl-cu13","python_support":"supports_current","summary":"NVIDIA Collective Communication Library (NCCL) Runtime"},"popularity":{"tier":"top_1000"},"security":{"n_vulnerabilities":0},"version":"2.31.2"}