[Doc]: vLLM setup with Triton/ROCm seems to have stale content.

[vishnoianil]

📚 The doc issue

Noticed two issues on the GPU installation page for vLLM https://docs.vllm.ai/en/latest/getting_started/installation/gpu.html?device=cuda#build-wheel-from-source

1. AMD ROCm installation instruction says "Install ROCm's Triton (the default triton-mlir branch) following the instructions from ROCm/triton", but the instruction is using triton-lang/triton

git clone https://github.com/triton-lang/triton.git
cd triton
git checkout e5be006

2. NVIDIA CUDA instructions uses "uv" but AMD ROCm is not explicitly using "uv", so it adds bit of confusion for user about the instructions to use.

Suggest a potential alternative/fix

No response

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[vishnoianil]

cc: @gshtras

[gshtras]

Yeah, the doc is a bit confusing and not well maintained. Building your own triton, CK and FA should also be under the prerequisites that you should skip if using a rocm/pytorch image.
The suggested triton commit matches what we had in our base image until recently when we moved to ROCm7. There is another base image change coming soon, in regards to torch and triton versions, I'll try to remember to update the docs as well. Thanks for bringing this up

[gshtras]

For the second point, currently uv should be under the CUDA tabs, we haven't verified it with the ROCm install yet