CUDA on non-NVIDIA GPUs
cargo add zluda
ZLUDA is a drop-in replacement for CUDA on non-NVIDIA GPUs. ZLUDA allows running unmodified CUDA applications using non-NVIDIA GPUs with near-native performance
A high-throughput and memory-efficient inference and serving engine for LLMs
The open-source AI voice studio. Clone, dictate, create.
SGLang is a high-performance serving framework for large language models and multimodal models.
World's fastest and most advanced password recovery utility
Build and run Docker containers leveraging NVIDIA GPUs
Instant neural graphics primitives: lightning fast NeRF and more
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
kaldi-asr/kaldi is the official location of the Kaldi project.
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. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Open3D: A Modern Library for 3D Data Processing
Solve puzzles. Learn CUDA.
NumPy & SciPy for GPU
