.. meta::
   :description: How to configure MI300X GPUs to fully leverage their capabilities and achieve optimal performance.
   :keywords: ROCm, AI, machine learning, MI300X, LLM, usage, tutorial, optimization, tuning

**************************************
AMD Instinct MI300X performance guides
**************************************

The following performance guides provide essential guidance on the necessary
steps to properly `configure your system for AMD Instinct™ MI300X GPUs
<https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
They include detailed instructions on system settings and application
:doc:`workload tuning </how-to/rocm-for-ai/inference-optimization/workload>` to
help you leverage the maximum capabilities of these GPUs and achieve
superior performance.

* `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`__
  covers essential system settings and system management practices to configure
  your AMD Instinct MI300X system for performance.

* :doc:`/how-to/rocm-for-ai/inference-optimization/workload` covers steps to
  optimize the performance of AMD Instinct MI300X Series GPUs for HPC
  and deep learning operations.

* :doc:`/how-to/rocm-for-ai/inference/benchmark-docker/vllm` introduces a preconfigured
  environment for LLM inference, designed to help you test performance with
  popular models on AMD Instinct MI300X Series GPUs.
