---
id: pr-vllm-20841
repo: vllm-project/vllm
pr: 20841
title: '[Perf] Use Triton instead of Torch for DeepGEMM Per Token Group Quant'
author: yewentao256
date: '2025-07-13'
url: https://github.com/vllm-project/vllm/pull/20841
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:
- triton
captured_at: '2026-04-27'
status: merged
merge_sha: 42d440c22bc85a95dc457d4a0970507f8e66f0da
inclusion_reason: kernel file changes
changed_paths:
- tests/kernels/moe/test_deepgemm.py
- tests/kernels/quantization/test_block_fp8.py
- vllm/model_executor/layers/fused_moe/deep_gemm_moe.py
- vllm/model_executor/layers/fused_moe/utils.py
- vllm/model_executor/layers/quantization/utils/fp8_utils.py
- vllm/utils/deep_gemm.py
head_ref_oid: ce4d5b275c00b7c5d467b0f66543e961d553589e
artifact_dir: evidence/pull-bundles/vllm/gh-20841
---
# [Perf] Use Triton instead of Torch for DeepGEMM Per Token Group Quant

- Repository: `vllm-project/vllm`
- PR: [20841](https://github.com/vllm-project/vllm/pull/20841)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `tests/kernels/moe/test_deepgemm.py`
- `tests/kernels/quantization/test_block_fp8.py`
- `vllm/model_executor/layers/fused_moe/deep_gemm_moe.py`
- `vllm/model_executor/layers/fused_moe/utils.py`
- `vllm/model_executor/layers/quantization/utils/fp8_utils.py`
- `vllm/utils/deep_gemm.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-20841`
