CUDA

A high-throughput and memory-efficient inference and serving engine for LLMs

World's fastest and most advanced password recovery utility

Build and run Docker containers leveraging NVIDIA GPUs

SGLang is a fast serving framework for large language models and vision language models.

Instant neural graphics primitives: lightning fast NeRF and more

kaldi-asr/kaldi is the official location of the Kaldi project.

CUDA on non-NVIDIA GPUs

Open3D: A Modern Library for 3D Data Processing

Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Solve puzzles. Learn CUDA.

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.

NumPy aware dynamic Python compiler using LLVM

NumPy & SciPy for GPU

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

cuDF - GPU DataFrame Library

Containers for machine learning

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

CUDA Templates for Linear Algebra Subroutines

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Modular ZK(Zero Knowledge) backend accelerated by GPU