{"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 C++ Core Compute Libraries (CCCL) for GPU-accelerated computing on Windows and Linux systems.","skillfed_tags":["gpu-acceleration","cuda","nvidia"],"use_cases":["Integrate CUDA compute libraries into custom GPU acceleration pipelines for scientific computing.","Provide foundational GPU compute support for machine learning frameworks and deep learning applications.","Accelerate numerical algorithms and mathematical operations on NVIDIA GPUs.","Build or extend GPU-enabled data processing workflows in research and production environments."],"what_it_does":"nvidia-cuda-cccl is a Python package that wraps NVIDIA's CUDA C++ Core Compute Libraries, enabling GPU-accelerated computing for scientific and machine learning workloads. It targets developers working with deep learning, numerical computing, and AI applications on NVIDIA hardware.\n\nThe package provides low-level access to CUDA compute primitives and is designed to integrate with higher-level frameworks. It has no Python runtime dependencies, making it a lightweight addition to GPU-enabled environments. Installation requires matching your system architecture (x86_64, aarch64, or Windows) to the available wheels. The package is actively maintained and supports Python 3.5 through 3.11.","worth_installing":"Yes, if you need direct access to NVIDIA CUDA C++ compute libraries and your system has compatible GPU hardware. The active maintenance, zero runtime dependencies, and top-5000 popularity suggest solid adoption. However, verify the unclear license terms with NVIDIA and confirm your system architecture matches an available wheel before installing. Not suitable without an NVIDIA GPU."},"id":"nvidia-cuda-cccl","links":{"html":"https://skillfed.io/packages/nvidia-cuda-cccl","md":"https://skillfed.io/packages/nvidia-cuda-cccl.md","pypi":"https://pypi.org/project/nvidia-cuda-cccl/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cuda-cccl","python_support":"supports_current","summary":"CUDA CCCL"},"popularity":{"monthly_downloads":1892828,"position":3459,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"13.3.3.4.1"}