{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Enables JAX to run numerical computations and machine learning workloads on NVIDIA GPUs with CUDA 12 support.","skillfed_tags":["gpu-acceleration","cuda","numerical-computing"],"use_cases":["Accelerate machine learning training by offloading gradient computation and matrix operations to NVIDIA GPUs.","Speed up numerical simulations and scientific computing workloads using JAX's automatic differentiation and JIT compilation.","Enable per-example gradient computation and vectorized operations on GPU for batch processing in deep learning pipelines.","Scale JAX programs across multiple GPUs using data parallelism and sharding strategies on NVIDIA hardware."],"what_it_does":"jax-cuda12-plugin is a runtime plugin that bridges JAX (a numerical computing library for automatic differentiation and XLA compilation) to NVIDIA GPUs via CUDA 12. When installed, it registers GPU support as a backend for JAX, allowing numerical operations and machine learning computations to execute on NVIDIA hardware instead of CPU.\n\nThe plugin depends on jax-cuda12-pjrt, a compiled component that handles low-level GPU communication. It is distributed as platform-specific wheels for Linux x86_64 and aarch64 only, and requires Python 3.12 or later. Installation is straightforward via pip, but GPU availability and proper CUDA environment setup are prerequisites for runtime use.","worth_installing":"Yes, if you have an NVIDIA GPU with CUDA 12 support and want to use JAX for accelerated numerical computing or machine learning. The plugin is actively maintained, has no known vulnerabilities, and carries a permissive license. Install friction is moderate due to platform specificity and compiled dependencies, but this is typical for GPU acceleration packages. Not applicable on systems without NVIDIA GPUs or on unsupported platforms."},"id":"jax-cuda12-plugin","links":{"html":"https://skillfed.io/packages/jax-cuda12-plugin","md":"https://skillfed.io/packages/jax-cuda12-plugin.md","pypi":"https://pypi.org/project/jax-cuda12-plugin/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-16","license_spdx":null,"license_treatment":"permissive","name":"jax-cuda12-plugin","python_support":"supports_current","summary":"JAX Plugin for NVIDIA GPUs"},"popularity":{"monthly_downloads":782417,"position":5078,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.11.0"}