---
id: pr-vllm-38993
repo: vllm-project/vllm
pr: 38993
title: '[Perf] Change Trtllm fp8 MoE to use Shuffled Weights and BlockMajorK Layout'
author: wzhao18
date: '2026-04-05'
url: https://github.com/vllm-project/vllm/pull/38993
source_category: upstream-code
architectures:
- sm100
tags:
- fp8
- gemm
- kernel-fusion
- moe
- quantization
techniques:
- kernel-fusion
hardware_features:
- fp8
kernel_types:
- gemm
- moe
- quantization
languages:
- python
captured_at: '2026-04-17'
status: merged
merge_sha: 1af6f78ae5a1bd3d70f32d47fe4901bda5c97fdd
inclusion_reason: kernel file changes
changed_paths:
- vllm/model_executor/layers/fused_moe/experts/trtllm_fp8_moe.py
- vllm/model_executor/layers/quantization/utils/flashinfer_utils.py
- vllm/model_executor/warmup/deep_gemm_warmup.py
head_ref_oid: 8db5ddf139dd7d2a24c210dde0a5a1fc9b6ba025
artifact_dir: evidence/pull-bundles/vllm/gh-38993
---
# [Perf] Change Trtllm fp8 MoE to use Shuffled Weights and BlockMajorK Layout

- Repository: `vllm-project/vllm`
- PR: [38993](https://github.com/vllm-project/vllm/pull/38993)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `vllm/model_executor/layers/fused_moe/experts/trtllm_fp8_moe.py`
- `vllm/model_executor/layers/quantization/utils/flashinfer_utils.py`
- `vllm/model_executor/warmup/deep_gemm_warmup.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-38993`
