{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/5"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"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 a portable intermediate representation (TileIR) for CUDA kernels that abstracts away language-specific details, enabling kernel compilation and optimization across different contexts.","skillfed_tags":["cuda-compilation","intermediate-representation"],"use_cases":["Compile and optimize CUDA kernels through a portable intermediate representation without language-specific tooling","Integrate kernel compilation into machine learning frameworks that need cross-platform CUDA support","Research and develop new CUDA optimization techniques using TileIR as a stable compilation target"],"what_it_does":"nvidia-cuda-tileiras is an assembler package that implements TileIR, a language-agnostic intermediate representation designed for CUDA kernels. It sits between high-level kernel code and low-level CUDA compilation, allowing kernels to be expressed and optimized in a portable form independent of the source language or compilation context.\n\nThe package depends on three NVIDIA CUDA runtime components and is distributed as platform-specific wheels for Linux and Windows. It targets developers and researchers working on machine learning, deep learning, and scientific computing who need to work with CUDA kernel compilation at an intermediate abstraction level. The package is in Beta status and actively maintained, though its documentation and public API maturity are not yet established.","worth_installing":"Yes, with conditions. Install if you are building CUDA compilation infrastructure or a machine learning framework that needs portable kernel representation; the package is actively maintained and has no known vulnerabilities. Do not install if you need clear documentation or stable public APIs\u2014it is still in Beta. Verify the license terms before use in proprietary projects, as licensing is currently unclear."},"id":"nvidia-cuda-tileiras","links":{"html":"https://skillfed.io/packages/nvidia-cuda-tileiras","md":"https://skillfed.io/packages/nvidia-cuda-tileiras.md","pypi":"https://pypi.org/project/nvidia-cuda-tileiras/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-26","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cuda-tileiras","python_support":"supports_current","summary":"TileIR Assembler Package"},"popularity":{"monthly_downloads":1497347,"position":3833,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"13.3.36"}
