Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Doc][AMD][ROCm]Added tips to refer to mi300x tuning guide for mi300x users #6754

Merged
merged 2 commits into from
Jul 24, 2024
Merged

[Doc][AMD][ROCm]Added tips to refer to mi300x tuning guide for mi300x users #6754

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a00c4d0
add links for mi300x tuning guide for mi300x users
hongxiayang Jul 24, 2024
18d51d6
format
hongxiayang Jul 24, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 7 additions & 0 deletions docs/source/getting_started/amd-installation.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -142,3 +142,10 @@ Alternatively, wheels intended for vLLM use can be accessed under the releases.
- Triton flash attention does not currently support sliding window attention. If using half precision, please use CK flash-attention for sliding window support.
- To use CK flash-attention or PyTorch naive attention, please use this flag ``export VLLM_USE_TRITON_FLASH_ATTN=0`` to turn off triton flash attention.
- The ROCm version of PyTorch, ideally, should match the ROCm driver version.


.. tip::
- For MI300x (gfx942) users, to achieve optimal performance, please refer to `MI300x tuning guide <https://rocm.docs.amd.com/en/latest/how-to/tuning-guides/mi300x/index.html>`_ for performance optimization and tuning tips on system and workflow level.
For vLLM, please refer to `vLLM performance optimization <https://rocm.docs.amd.com/en/latest/how-to/tuning-guides/mi300x/workload.html#vllm-performance-optimization>`_.


Loading