---
id: pr-vllm-37463
repo: vllm-project/vllm
pr: 37463
title: '[Kernel] Add MXFP4 W4A4 CUTLASS MoE kernel for SM100'
author: mgoin
date: '2026-04-17'
url: https://github.com/vllm-project/vllm/pull/37463
source_category: upstream-code
architectures:
- sm100
tags:
- Marlin
- MoE kernel
- cutlass
- gemm_quant
- moe_routing
- mxfp4
- sm100
techniques:
- fine-grained-quantization
- kernel-fusion
hardware_features:
- blackwell
- fp4
- mxfp4
- nvfp4
kernel_types:
- gemm
- moe
languages:
- cuda-cpp
- cute-dsl
captured_at: '2026-05-16'
status: merged
merge_sha: a8bffaa13337236408e7fe6387e1da764191b05a
inclusion_reason: Inspect scale layout, accumulator type, tile/schedule choice, epilogue fusion, and partial-tile guards before deriving a candidate.
changed_paths:
- .buildkite/test_areas/kernels.yaml
- CMakeLists.txt
- csrc/libtorch_stable/ops.h
- csrc/libtorch_stable/quantization/fp4/mxfp4_blockwise_moe_kernel.cu
- csrc/libtorch_stable/quantization/fp4/mxfp4_experts_quant.cu
- csrc/libtorch_stable/torch_bindings.cpp
- tests/kernels/moe/test_mxfp4_moe.py
- vllm/_custom_ops.py
- vllm/model_executor/layers/fused_moe/config.py
- vllm/model_executor/layers/fused_moe/cutlass_moe.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe/compressed_tensors_moe_w4a4_mxfp4.py
artifact_dir: evidence/pull-bundles/vllm/gh-37463
head_ref_oid: 155eeefacb19b9e34209b388ce89a40bf93456f4
---
# [Kernel] Add MXFP4 W4A4 CUTLASS MoE kernel for SM100

- Repository: `vllm-project/vllm`
- PR: [37463](https://github.com/vllm-project/vllm/pull/37463)
- Decision: `Inspect scale layout, accumulator type, tile/schedule choice, epilogue fusion, and partial-tile guards before deriving a candidate.`
- Reason: Inspect scale layout, accumulator type, tile/schedule choice, epilogue fusion, and partial-tile guards before deriving a candidate.

## Changed Paths

- `.buildkite/test_areas/kernels.yaml`
- `CMakeLists.txt`
- `csrc/libtorch_stable/ops.h`
- `csrc/libtorch_stable/quantization/fp4/mxfp4_blockwise_moe_kernel.cu`
- `csrc/libtorch_stable/quantization/fp4/mxfp4_experts_quant.cu`
- `csrc/libtorch_stable/torch_bindings.cpp`
- `tests/kernels/moe/test_mxfp4_moe.py`
- `vllm/_custom_ops.py`
- `vllm/model_executor/layers/fused_moe/config.py`
- `vllm/model_executor/layers/fused_moe/cutlass_moe.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe/compressed_tensors_moe_w4a4_mxfp4.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-37463`
