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docs(release): add gpus and xrefs docs(release): update release notes for 7.12 wip: selector-toc2 dropdown input remove selector tiles from install sections docs(compat): virtualization support docs(uninstall): remove unneeded headings js(selector toc2): improve semantic html in toc2 selector dropdowns fix(js/css): TomSelect fix(toc2.js): heading query fix(css): maximize dropdown input widths to prevent stuttering fix and reorg bump rocm-docs-core to 1.32.1 [docs/7.12.0] Update documentation for TheRock 7.12.0 Includes related enhancements: - Improve secondary sidebar display - Fix install instruction issues - Add JAX and vLLM - Reorganize site structure - Tweak CSS/JS/Py update versions list wording update driver docs links docs: fix jax instructions docs: fix vllm instructions docs: reorganize some files reorg [docs/7.12.0] update vllm docker pull tags fix
AMD ROCm Software
ROCm is an open-source stack, composed primarily of open-source software, designed for graphics processing unit (GPU) computation. ROCm consists of a collection of drivers, development tools, and APIs that enable GPU programming from low-level kernel to end-user applications.
With ROCm, you can customize your GPU software to meet your specific needs. You can develop, collaborate, test, and deploy your applications in a free, open source, integrated, and secure software ecosystem. ROCm is particularly well-suited to GPU-accelerated high-performance computing (HPC), artificial intelligence (AI), scientific computing, and computer aided design (CAD).
ROCm is powered by AMD’s Heterogeneous-computing Interface for Portability (HIP), an open-source software C++ GPU programming environment and its corresponding runtime. HIP allows ROCm developers to create portable applications on different platforms by deploying code on a range of platforms, from dedicated gaming GPUs to exascale HPC clusters.
ROCm supports programming models, such as OpenMP and OpenCL, and includes all necessary open source software compilers, debuggers, and libraries. ROCm is fully integrated into machine learning (ML) 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.
Getting and Building ROCm from Source
Please use TheRock build system to build ROCm from source.
ROCm documentation
This repository contains the manifest file for ROCm releases, changelogs, and release information.
The default.xml file contains information for all repositories and the associated commit used to build
the current ROCm release; default.xml uses the Manifest Format repository.
Source code for our documentation is located in the /docs folder of most ROCm repositories. The
develop branch of our repositories contains content for the next ROCm release.
The ROCm documentation homepage is rocm.docs.amd.com.
For information on how to contribute to the ROCm documentation, see Contributing to the ROCm documentation.
Older ROCm releases
For release information for older ROCm releases, refer to the ROCm release history.