---
id: pr-flashinfer-2343
repo: flashinfer-ai/flashinfer
pr: 2343
title: Optimize quantization function in large problem size
author: Shunkangz
date: '2026-01-23'
url: https://github.com/flashinfer-ai/flashinfer/pull/2343
source_category: upstream-code
architectures:
- sm100
tags:
- fp4
- kernel-fusion
- moe
- quantization
techniques:
- kernel-fusion
hardware_features:
- fp4
kernel_types:
- moe
- quantization
languages:
- cuda-cpp
captured_at: '2026-04-27'
status: merged
merge_sha: aa8af8534579653a8006be47a6517c103dfb761d
inclusion_reason: kernel file changes
changed_paths:
- csrc/fused_moe/cutlass_backend/cutlass_fused_moe_kernels.cuh
- csrc/nv_internal/cpp/kernels/quantization.cu
- csrc/nv_internal/tensorrt_llm/kernels/quantization.cuh
- csrc/nv_internal/tensorrt_llm/kernels/quantization_utils.cuh
- tests/utils/test_fp4_quantize.py
head_ref_oid: 087fd7fb1d2592980c27e3df1dccd7564491f12f
artifact_dir: evidence/pull-bundles/flashinfer/gh-2343
---
# Optimize quantization function in large problem size

- Repository: `flashinfer-ai/flashinfer`
- PR: [2343](https://github.com/flashinfer-ai/flashinfer/pull/2343)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `csrc/fused_moe/cutlass_backend/cutlass_fused_moe_kernels.cuh`
- `csrc/nv_internal/cpp/kernels/quantization.cu`
- `csrc/nv_internal/tensorrt_llm/kernels/quantization.cuh`
- `csrc/nv_internal/tensorrt_llm/kernels/quantization_utils.cuh`
- `tests/utils/test_fp4_quantize.py`

## Evidence Bundle

`evidence/pull-bundles/flashinfer/gh-2343`
