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90 lines
3.6 KiB
ReStructuredText
.. meta::
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:description: Learn what ROCm is – AMD's open software stack for GPU programming, including runtimes, compilers, libraries, and tools for Linux and Windows.
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:keywords: ROCm, AMD, GPU computing, ROCm Core SDK, ROCm components, TheRock, ROCm architecture, HPC, AI, machine learning, ROCm runtime
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****************************
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AMD ROCm 7.9.0 documentation
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****************************
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AMD ROCm is an open, modular, and high‑performance GPU software ecosystem —
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built collaboratively with the community, maintained transparently, and
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optimized for consistent, scalable performance across data centers, desktops,
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and edge devices.
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ROCm 7.9.0 is a technology preview release built with
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`TheRock <https://github.com/ROCm/TheRock>`__, AMD’s new open build and release
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system.
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This preview introduces a new modular build workflow that will become standard
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in the near future. The existing monolithic release process will continue to be
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used in the production ROCm 7.0 stream during this transition period until the
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modular workflow fully replaces it. See the :ref:`release notes
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<preview-stream-note>` for more information.
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What is ROCm?
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=============
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ROCm is AMD’s open software stack for GPU‑accelerated computing. It provides
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the tools needed to program AMD GPUs — including runtimes, compilers,
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performance and system utilities, and optimized math and compute libraries. The
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wider ROCm ecosystem includes ROCm‑enabled HPC applications and deep learning
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frameworks such as PyTorch.
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**Some key features:**
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* **Open source** -- Transparent development driven by community feedback
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* **Cross‑platform** -- Supports Linux and Windows environments
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* **Comprehensive** -- End‑to‑end toolchain from compilers to libraries
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* **Performance‑focused** -- Tuned for AMD Instinct™, AMD Radeon™, and AMD Ryzen™ architectures
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.. image:: data/rocm-ontology.png
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:align: center
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:alt: ROCm software ecosystem and components illustration
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ROCm supports AMD GPU architectures spanning data center, workstation, and APU
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categories. TheRock enables a unified ROCm user‑space experience across
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devices.
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* **AMD Instinct GPUs** -- Purpose‑built for large‑scale compute, AI training, and HPC workloads.
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* **AMD Radeon GPUs and AMD Ryzen AI APUs** -- Designed for workstations, desktop computing, and edge AI applications.
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.. note::
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This release supports a limited number GPU models. Hardware support will be
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expanded with future releases.
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What’s changing
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===============
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ROCm is evolving to improve flexibility, maintainability, and
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use‑case alignment.
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* **Leaner core** – The Core SDK focuses on essential runtime and development components.
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* **Use case‑specific expansions** – Optional domain‑specific SDKs for AI, data science, and HPC.
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* **Modular installation** – Install only the components required for your workflow.
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This approach streamlines installation, reduces footprint, and accelerates
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innovation through independently released packages.
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ROCm Core SDK
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-------------
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The ROCm Core SDK provides the foundational components that power the ROCm
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ecosystem — runtimes, compilers, math libraries, and system utilities for GPGPU
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computing.
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.. image:: data/rocm-sdk-arch.png
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:align: center
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:alt: ROCm Core SDK internal architecture illustration
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The TheRock infrastructure keeps these components modular, consistent, and easy
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to integrate across configurations.
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Getting started
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===============
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* See the release notes -- :doc:`/about/release-notes` -- to learn about the latest
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changes and current system compatibility information.
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* Follow :doc:`/install/rocm` to set up ROCm on your system.
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