CUDA Python: Performance meets Productivity

A public mirror of our benchmarking runner repository

cuML - RAPIDS Machine Learning Library

cuDF - GPU DataFrame Library

cuGraph - RAPIDS Graph Analytics Library

CLI utilities for RAPIDS

A JupyterLab extension for displaying dashboards of GPU usage.

Utilities for Dask and CUDA interactions

Stub generation for Cython code.

The Python programming language

KvikIO - High Performance File IO

Lint Cython files

Nsight Python is a Python kernel profiling interface based on NVIDIA Nsight Tools

CUDA Core Compute Libraries

RAPIDS Deployment Documentation

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

GPU Accelerated Backend for NetworkX

The CUDA target for Numba

A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree

Python Performance Benchmark Suite

Optional static typing for Python

NumPy & SciPy for GPU

Code for running pyperformance benchmarks on Github Action runners

A memory benchmarking and analysis tool for CPython development