---
id: pr-vllm-33174
repo: vllm-project/vllm
pr: 33174
title: Add support for Mistral Large 3 inference with Flashinfer MoE
author: dbari
date: '2026-01-31'
url: https://github.com/vllm-project/vllm/pull/33174
source_category: upstream-code
architectures:
- sm100
tags:
- fp8
- kernel-fusion
- moe
- quantization
techniques:
- kernel-fusion
hardware_features:
- fp8
kernel_types:
- moe
- quantization
languages:
- cuda-cpp
captured_at: '2026-04-27'
status: merged
merge_sha: f0bca83ee4b6aa6d63da66d37dd69929bdcfc1fe
inclusion_reason: kernel file changes
changed_paths:
- benchmarks/kernels/benchmark_moe.py
- docker/Dockerfile
- docker/Dockerfile.nightly_torch
- docker/versions.json
- requirements/cuda.txt
- tests/kernels/moe/test_flashinfer.py
- vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_B200,dtype=fp8_w8a8.json
- vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_B200.json
- vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_GB200,dtype=fp8_w8a8.json
- vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128,128].json
- vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_H200.json
- vllm/model_executor/layers/fused_moe/configs/E=16,N=4096,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128,128].json
- vllm/model_executor/layers/fused_moe/configs/E=16,N=4096,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128,128].json
- vllm/model_executor/layers/fused_moe/flashinfer_trtllm_moe.py
- vllm/model_executor/layers/quantization/utils/flashinfer_utils.py
- vllm/model_executor/models/deepseek_v2.py
head_ref_oid: 6fa035de0c2607bac2fc71446f345815326c1c5e
artifact_dir: evidence/pull-bundles/vllm/gh-33174
---
# Add support for Mistral Large 3 inference with Flashinfer MoE

- Repository: `vllm-project/vllm`
- PR: [33174](https://github.com/vllm-project/vllm/pull/33174)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `benchmarks/kernels/benchmark_moe.py`
- `docker/Dockerfile`
- `docker/Dockerfile.nightly_torch`
- `docker/versions.json`
- `requirements/cuda.txt`
- `tests/kernels/moe/test_flashinfer.py`
- `vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_B200,dtype=fp8_w8a8.json`
- `vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_B200.json`
- `vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_GB200,dtype=fp8_w8a8.json`
- `vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128,128].json`
- `vllm/model_executor/layers/fused_moe/configs/E=128,N=512,device_name=NVIDIA_H200.json`
- `vllm/model_executor/layers/fused_moe/configs/E=16,N=4096,device_name=NVIDIA_B200,dtype=fp8_w8a8,block_shape=[128,128].json`
- `vllm/model_executor/layers/fused_moe/configs/E=16,N=4096,device_name=NVIDIA_H200,dtype=fp8_w8a8,block_shape=[128,128].json`
- `vllm/model_executor/layers/fused_moe/flashinfer_trtllm_moe.py`
- `vllm/model_executor/layers/quantization/utils/flashinfer_utils.py`
- `vllm/model_executor/models/deepseek_v2.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-33174`
