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

Open Machine Learning Compiler Framework

NumPy & SciPy for GPU

Supercharge Your LLM with the Fastest KV Cache Layer

Performance-optimized AI inference on your GPUs. Unlock superior throughput by selecting and tuning engines like vLLM or SGLang.

Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk

Stable Diffusion web UI

A deep learning package for many-body potential energy representation and molecular dynamics

Large-scale LLM inference engine

stdgpu: Efficient STL-like Data Structures on the GPU

Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice cloning, and large audiobook-scale text processing. Runs accelerated on NVIDIA (CUDA), AMD (ROCm), and CPU.

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface. Now ZLUDA enhanced for better AMD GPU performance.

Open Source Continuous Inference Benchmarking Qwen3.5, DeepSeek, GPTOSS - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 vs H100 & soon™ TPUv6e/v7/Trainium2/3

Dockerfiles for the various software layers defined in the ROCm software platform

Abstraction Library for Parallel Kernel Acceleration 🦙

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support

Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster

Go with your own intelligence - Go applications that directly integrate llama.cpp for local inference using hardware acceleration.