{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/2"}],"enrichment":{"capability":"Triton-windows is a Windows port of the Triton compiler that lets you write and compile custom GPU kernels for deep learning workloads on NVIDIA GPUs.","skillfed_tags":["gpu-acceleration","kernel-compilation","windows-native"],"use_cases":["Accelerate custom deep learning operations on Windows by compiling hand-written GPU kernels instead of relying on standard libraries.","Optimize matrix multiplication, attention mechanisms, or other compute-intensive layers by writing Triton kernels tailored to your model's needs.","Use torch.compile with Triton on Windows to automatically fuse and compile operations into efficient GPU code.","Prototype and deploy GPU-accelerated algorithms on Windows without dropping to lower-level GPU programming or managing low-level GPU memory manually."],"what_it_does":"Triton-windows is a Windows-native fork of the Triton compiler, which allows you to write high-performance GPU kernels in Python and compile them just-in-time for NVIDIA GPUs. It bridges the gap between Python's ease of use and the performance demands of deep learning by letting you write custom operations that standard libraries don't cover, then compiling them directly to GPU code at runtime.\n\nThe package is designed specifically for Windows environments where the upstream Triton project did not have native support. It works with torch.compile and Triton's @triton.jit decorator, and passes all unit tests. Installation requires careful environment setup\u2014you must ensure your Python version, PyTorch version, and GPU driver are aligned according to the documented compatibility matrix, and the package provides wheels only for Python 3.10\u20133.14 on Windows x86-64.","worth_installing":"Yes, if you need to write custom GPU kernels on Windows and your NVIDIA GPU and PyTorch version are compatible. The permissive license and active wheel distribution make it straightforward to install. No, if you need ongoing maintenance and support\u2014the original repository is archived, though development continues at https://github.com/triton-lang/triton-windows. Verify PyTorch and CUDA version compatibility before installing."},"id":"triton-windows","links":{"html":"https://skillfed.io/packages/triton-windows","md":"https://skillfed.io/packages/triton-windows.md","pypi":"https://pypi.org/project/triton-windows/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2026-06-21","license_spdx":null,"license_treatment":"permissive","name":"triton-windows","python_support":"supports_current","summary":"A language and compiler for custom Deep Learning operations"},"popularity":{"monthly_downloads":471577,"position":6479,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.7.1.post27"}