---
id: pr-vllm-19168
repo: vllm-project/vllm
pr: 19168
title: '[Kernels] Add activation chunking logic to FusedMoEModularKernel'
author: bnellnm
date: '2025-06-11'
url: https://github.com/vllm-project/vllm/pull/19168
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: 29fa5cac1cd731026f59084d93a822921507573c
inclusion_reason: kernel file changes
changed_paths:
- tests/kernels/moe/test_cutlass_moe.py
- tests/kernels/moe/test_moe.py
- tests/kernels/moe/test_pplx_cutlass_moe.py
- tests/kernels/moe/test_pplx_moe.py
- tests/kernels/quantization/test_block_fp8.py
- tests/pplx_utils.py
- vllm/model_executor/layers/fused_moe/batched_deep_gemm_moe.py
- vllm/model_executor/layers/fused_moe/batched_triton_or_deep_gemm_moe.py
- vllm/model_executor/layers/fused_moe/cutlass_moe.py
- vllm/model_executor/layers/fused_moe/deep_gemm_moe.py
- vllm/model_executor/layers/fused_moe/fused_batched_moe.py
- vllm/model_executor/layers/fused_moe/fused_moe.py
- vllm/model_executor/layers/fused_moe/modular_kernel.py
- vllm/model_executor/layers/fused_moe/triton_deep_gemm_moe.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
head_ref_oid: a5d4ba1fe8629617ab188cf06ecdbf5ffa30b130
artifact_dir: evidence/pull-bundles/vllm/gh-19168
---
# [Kernels] Add activation chunking logic to FusedMoEModularKernel

- Repository: `vllm-project/vllm`
- PR: [19168](https://github.com/vllm-project/vllm/pull/19168)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `tests/kernels/moe/test_cutlass_moe.py`
- `tests/kernels/moe/test_moe.py`
- `tests/kernels/moe/test_pplx_cutlass_moe.py`
- `tests/kernels/moe/test_pplx_moe.py`
- `tests/kernels/quantization/test_block_fp8.py`
- `tests/pplx_utils.py`
- `vllm/model_executor/layers/fused_moe/batched_deep_gemm_moe.py`
- `vllm/model_executor/layers/fused_moe/batched_triton_or_deep_gemm_moe.py`
- `vllm/model_executor/layers/fused_moe/cutlass_moe.py`
- `vllm/model_executor/layers/fused_moe/deep_gemm_moe.py`
- `vllm/model_executor/layers/fused_moe/fused_batched_moe.py`
- `vllm/model_executor/layers/fused_moe/fused_moe.py`
- `vllm/model_executor/layers/fused_moe/modular_kernel.py`
- `vllm/model_executor/layers/fused_moe/triton_deep_gemm_moe.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-19168`
