---
id: pr-vllm-20270
repo: vllm-project/vllm
pr: 20270
title: '[V1] [ROCm] Enable EP with AITER Fused MoE'
author: tjtanaa
date: '2025-07-01'
url: https://github.com/vllm-project/vllm/pull/20270
source_category: upstream-code
architectures:
- sm100
tags:
- fp8
- kernel-fusion
- moe
- quantization
techniques:
- kernel-fusion
hardware_features:
- fp8
kernel_types:
- moe
- quantization
languages:
- python
captured_at: '2026-04-27'
status: merged
merge_sha: 02cabff207ca68094a73ba21296c82cdbcb1d1a5
inclusion_reason: kernel file changes
changed_paths:
- vllm/model_executor/layers/fused_moe/layer.py
- vllm/model_executor/layers/fused_moe/rocm_aiter_fused_moe.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
- vllm/model_executor/layers/quantization/fp8.py
head_ref_oid: 0713fda5eeea94d6158806ce763de4607310cbcd
artifact_dir: evidence/pull-bundles/vllm/gh-20270
---
# [V1] [ROCm] Enable EP with AITER Fused MoE

- Repository: `vllm-project/vllm`
- PR: [20270](https://github.com/vllm-project/vllm/pull/20270)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `vllm/model_executor/layers/fused_moe/layer.py`
- `vllm/model_executor/layers/fused_moe/rocm_aiter_fused_moe.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py`
- `vllm/model_executor/layers/quantization/fp8.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-20270`
