{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/3"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Provides NVIDIA CUDA NVRTC (runtime compilation) native libraries for Python, enabling just-in-time compilation of CUDA kernels on x86_64 and aarch64 Linux and Windows systems.","skillfed_tags":["cuda","gpu-computing","abandoned"],"use_cases":["Satisfy NVRTC dependencies for GPU-accelerated Python libraries like CuPy that perform runtime kernel compilation","Enable just-in-time CUDA kernel compilation in scientific computing workflows without pre-compiling kernels","Support legacy projects pinned to CUDA 11 that require runtime compilation capabilities","Provide NVRTC libraries in containerized environments where CUDA toolkit installation is not feasible"],"what_it_does":"This package bundles NVIDIA's NVRTC (CUDA Runtime Compiler) native libraries as a Python wheel, allowing developers to compile CUDA kernels at runtime rather than ahead-of-time. It is a low-level distribution mechanism for CUDA 11 tooling, not a high-level API\u2014it exists primarily to satisfy dependencies of higher-level frameworks like CuPy or other GPU acceleration libraries that need runtime kernel compilation capabilities.\n\nThe package provides no Python API of its own; it simply makes compiled NVIDIA libraries available to other packages. Installation requires matching your system architecture (x86_64 or aarch64 Linux, or x86_64 Windows) and Python version (3.5 through 3.11). Because the package is abandoned and has not been updated since October 2022, it is locked to CUDA 11.8.89 and will not receive updates for newer CUDA versions or security patches.","worth_installing":"Yes, but only if you need CUDA 11.8.89 NVRTC support and have no alternative. The package is abandoned and will not receive updates; if you are starting a new project, prefer a maintained CUDA distribution or newer CUDA version. Install only as a transitive dependency of a package you already require, or if you are locked to CUDA 11 by other constraints. Verify NVIDIA's proprietary license permits your use case before deployment."},"id":"nvidia-cuda-nvrtc-cu11","links":{"html":"https://skillfed.io/packages/nvidia-cuda-nvrtc-cu11","md":"https://skillfed.io/packages/nvidia-cuda-nvrtc-cu11.md","pypi":"https://pypi.org/project/nvidia-cuda-nvrtc-cu11/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-10-03","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cuda-nvrtc-cu11","python_support":"supports_current","summary":"NVRTC native runtime libraries"},"popularity":{"monthly_downloads":2248632,"position":3189,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"11.8.89"}