amd-gpu

An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.

Same agent Smaller bill. The tools and infrastructure to get more work from your AI. Fewer tokens. Less compute. Lower cost.

Performance monitoring and benchmarking suite

RDNA-native LLM inference engine in Rust.

The rDNA 2 dGPU support patch kext.

FanCtrl is a software that allows you to automatically control the fan speed on your PC.

OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.

Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs

ML software (llama.cpp, ComfyUI, Strata, Maya, ...) builds for AMD gfx906 GPUs, e.g. Radeon VII / MI50 / MI60

Graphics Processing Unit (GPU) Architecture Guide

Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP.

An agentic system that auto-optimizes LLM workloads on AMD GPUs.

Run large language models locally on Intel Macs with AMD GPUs - native macOS app with Metal acceleration

The inference engine the open-source world built for itself.

AMD GPU temperature monitoring on macOS.

An end-to-end agent project for GPU kernel implementation, analysis, profiling, and iterative optimization. It helps an agent turn PyTorch logic or an existing kernel into a high-performance GPU kernel through a structured, profile-driven workflow.

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.

llama.cpp-gfx906

Free, open-source game-streaming host for Windows PCs with AMD Radeon or NVIDIA graphics. Play your PC games on your TV, phone, handheld, laptop or in a web browser: low latency, HDR, a virtual display sized for each device, per-game settings, couch co-op and USB forwarding. Works with Moonlight, Artemis and Nightjar.

A flexible and high-performance training framework designed for large-scale foundation model training on AMD GPUs