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# AMD ROCm™ Platform
ROCm is an open-source stack, composed primarily of open-source software (OSS), 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.
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
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)](https://github.com/ROCm-Developer-Tools/HIP),
an OSS 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.
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 OSS
compilers, debuggers, and libraries. ROCm is fully integrated into machine learning (ML) frameworks,
such as PyTorch and TensorFlow.
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.
## ROCm Documentation
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## Older ROCm Releases
For release information for older ROCm releases, refer to
[`CHANGELOG.md`](./CHANGELOG.md).
[`CHANGELOG`](./CHANGELOG).