ROCm is an open-source software stack of drivers, development tools, and APIs that enable GPU programming from low-level kernels to end-user applications. It is particularly well-suited to GPU-accelerated high-performance computing (HPC), AI, scientific computing, and computer-aided design (CAD).
ROCm is powered by HIP, a C++ runtime API and kernel language that lets developers write portable GPU code with an interface similar to NVIDIA CUDA™. It also supports OpenMP and OpenCL, and includes the compilers, debuggers, and libraries needed to build and run GPU workloads. ROCm integrates with machine learning frameworks such as PyTorch and TensorFlow.
Important
A new open-source build platform for ROCm is under development at https://github.com/ROCm/TheRock, featuring a unified CMake build with bundled dependencies, Windows support, and more.
Table of contents
- Supported hardware and operating systems
- Quick start
- Core components
- ROCm Extras
- Release notes
- Licenses
- Contribute
Supported hardware and operating systems
Use the Compatibility matrix for official support across ROCm versions, operating system kernels, and GPU architectures (CDNA/Instinct™, RDNA/Radeon™, and Radeon Pro). Recent releases cover Ubuntu, RHEL, SLES, Oracle Linux, Debian, Rocky Linux, and more. GPU targets include CDNA4, CDNA3, CDNA2, RDNA4, and RDNA3.
Quick start
Follow these instructions to start using ROCm.
Get started with ROCm
Follow the ROCm installation guide to install ROCm on your system.
Deep learning frameworks on ROCm
See Install PyTorch for ROCm or Install JAX for ROCm to get started.
To learn more about AI training and inference workloads on ROCm, see the AI Ecosystem documentation portal.
Core components
The core ROCm software stack consists of the following components. Most of them are divided across the ROCm Libraries and ROCm Systems super-repos by domain.
Math and compute libraries
- Composable Kernel
- hipBLAS and rocBLAS
- hipBLASLt
- hipCUB
- hipFFT and rocFFT
- hipRAND and rocRAND
- hipSOLVER and rocSOLVER
- hipSPARSE and rocSPARSE
- MIOpen
- rocPRIM
- rocThrust
- rocWMMA
Communication libraries
Runtimes and compilers
Profiling and debugging tools
- ROCm Compute Profiler (rocprofiler-compute)
- ROCm Systems Profiler (rocprofiler-systems)
- ROCprofiler-SDK
- ROCdbgapi
- ROCgdb
- ROCr Debug Agent
Control and monitoring tools
Media libraries
Storage
For a complete list of foundational ROCm components, see ROCm Core SDK components.
ROCm Extras
ROCm Extras include supplementary tools for benchmarking, validating, and managing ROCm deployment.
Release notes
For information on older ROCm releases, see the ROCm release history.
Licenses
Contribute
AMD welcomes ROCm contributions using GitHub PRs or issues. See the links below for contribution guidelines.