rocm

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

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

Open deep learning compiler stack for cpu, gpu and specialized accelerators

NumPy & SciPy for GPU

Supercharge Your LLM with the Fastest KV Cache Layer

Simple, scalable AI model deployment on GPU clusters

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

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

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.

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

Agenium Scale vectorization library for CPUs and GPUs

AMD GPU (ROCm) programming in Julia

AOMP is an open source Clang/LLVM based compiler with added support for the OpenMP® API on Radeon™ GPUs. Use this repository for releases, issues, documentation, packaging, and examples.

HPC solver for nonlinear optimization problems