AMD ROCm™ documentation

Applies to Linux and Windows

2024-03-05

3 min read time

Welcome to the ROCm docs home page! If you’re new to ROCm, you can review the following resources to learn more about our products and what we support:

• What is ROCm?

• Release notes

You can install ROCm on our Radeon™, Radeon™ PRO, and Instinct™ GPUs. If you’re using Radeon GPUs, we recommend reading the Radeon-specific ROCm documentation.

For hands-on applications, refer to our ROCm blogs site.

Our documentation is organized into the following categories:

• Linux

  • Quick-start (Linux)

  • Linux install guide

  • Package manager integration

• Windows

  • Windows install guide

  • Application deployment guidelines

• Install Docker containers

• PyTorch for ROCm

• TensorFlow for ROCm

• MAGMA for ROCm

• ROCm & Spack

• System requirements (Linux)

• System requirements (Windows)

• Third-party support

• User/kernel space

• Docker

• OpenMP

• Precision support

• ROCm on Radeon GPUs

• API libraries

  • Artificial intelligence

  • C++ primitives

  • Communication

  • Fast Fourier transforms

  • HIP

  • Linear algebra

  • Random number generators

• Tools

  • Development

  • Performance analysis

  • System

• GPU architectures

  • GPU architecture hardware specification overview

• System tuning for various architectures

  • MI100

  • MI200

  • RDNA2

• Setting up for deep learning with ROCm

• GPU-enabled MPI

• System level debugging

• GitHub examples

• GPU architecture

  • MI100

  • MI250

  • MI300

• GPU memory

• Compiler disambiguation

• File structure (Linux FHS)

• GPU isolation techniques

• LLVM ASan

• Using CMake

• ROCm & PCIe atomics

• Inception v3 with PyTorch

• Inference optimization with MIGraphX

• OpenMP support in ROCm