---
id: pr-vllm-15587
repo: vllm-project/vllm
pr: 15587
title: '[Quantization] Fp8 Channelwise Dynamic Per Token GroupedGEMM'
author: robertgshaw2-redhat
date: '2025-03-27'
url: https://github.com/vllm-project/vllm/pull/15587
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: '2026-04-27'
status: merged
merge_sha: 43ed4143c4ec00f4b587c5bcefdb3b6520fbe966
inclusion_reason: kernel file changes
changed_paths:
- vllm/model_executor/layers/fused_moe/layer.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
head_ref_oid: e0bae3cee2fab6ce830a796f8a0724f7093b194d
artifact_dir: evidence/pull-bundles/vllm/gh-15587
---
# [Quantization] Fp8 Channelwise Dynamic Per Token GroupedGEMM

- Repository: `vllm-project/vllm`
- PR: [15587](https://github.com/vllm-project/vllm/pull/15587)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

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

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-15587`
