{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"}],"enrichment":{"capability":"Provides a Python DSL for writing high-performance CUDA kernels using CUTLASS concepts like layouts, tensors, and hardware atoms without requiring deep C++ expertise.","skillfed_tags":["gpu-computing","cuda-kernels","tensor-optimization"],"use_cases":["Prototyping optimized matrix multiply kernels for Tensor Cores without writing C++ code.","Teaching GPU programming concepts to students using a Python-native interface.","Rapidly iterating on custom CUDA kernel designs for deep learning workloads.","Integrating high-performance tensor operations directly into Python ML frameworks.","Benchmarking and optimizing linear algebra operations on modern NVIDIA GPUs."],"what_it_does":"CUTLASS DSL is NVIDIA's Python interface for writing optimized CUDA kernels using high-level abstractions (layouts, tensors, hardware atoms) instead of low-level C++. The first release, CuTe DSL, targets Tensor Core operations on Ampere, Hopper, and Blackwell GPUs, aiming to reduce the learning curve for GPU programming and speed up kernel prototyping. It is currently in public beta and depends on cuda-python, numpy, protobuf, and nvidia-cuda-nvdisasm.\n\nThe package is designed for students, researchers, and performance engineers who need to write efficient GPU code without deep C++ expertise. It promises faster compile times and native integration with deep learning frameworks. Installation is restricted to Linux (x86_64 and aarch64) with Python 3.10\u20133.14 and requires CUDA 13 runtime support.","worth_installing":"Yes, if you target NVIDIA Ampere/Hopper/Blackwell GPUs on Linux and need to write or prototype optimized CUDA kernels in Python. The active maintenance, recent release, and strong upstream support are positive signals. However, the unclear license status and beta maturity (target graduation summer 2026) warrant verification of licensing terms and stability requirements before production deployment."},"id":"nvidia-cutlass-dsl-libs-cu13","links":{"html":"https://skillfed.io/packages/nvidia-cutlass-dsl-libs-cu13","md":"https://skillfed.io/packages/nvidia-cutlass-dsl-libs-cu13.md","pypi":"https://pypi.org/project/nvidia-cutlass-dsl-libs-cu13/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-05","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cutlass-dsl-libs-cu13","python_support":"supports_current","summary":"NVIDIA CUTLASS Python DSL"},"popularity":{"monthly_downloads":2134076,"position":3265,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"4.7.0"}