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[Refactor] Set fp4-gemm-backend=auto on SM100 and rename fp4-gemm-backend with flashinfer_ prefix#17309

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Fridge003 merged 3 commits intosgl-project:mainfrom
bzhng-development:brayden/tiny-rename-flashinfer-trtllm
Jan 19, 2026
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[Refactor] Set fp4-gemm-backend=auto on SM100 and rename fp4-gemm-backend with flashinfer_ prefix#17309
Fridge003 merged 3 commits intosgl-project:mainfrom
bzhng-development:brayden/tiny-rename-flashinfer-trtllm

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@b8zhong b8zhong commented Jan 18, 2026

Motivation

As to follow trtllm-gen MoE and blockwise FP8 backends for consistency and avoid confusion and tiny update documentation

Thanks to Vincent in #16232 we have performance data in CUDA 13:

Screenshot 2026-01-18 at 12 16 39 PM

@github-actions github-actions Bot added documentation Improvements or additions to documentation quant LLM Quantization blackwell SM100/SM120 labels Jan 18, 2026
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Summary of Changes

Hello @b8zhong, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refactors the naming convention for FP4 GEMM backend options to enhance consistency and avoid confusion within the system. By introducing a flashinfer_ prefix to the backend names, the changes clarify their association with FlashInfer and align them with other existing backend naming schemes. This involves comprehensive updates across documentation, internal enum definitions, backend selection logic, and unit tests.

Highlights

  • Renamed FP4 GEMM Backend Options: The command-line argument --fp4-gemm-backend now uses flashinfer_ prefixed options (e.g., flashinfer_cudnn, flashinfer_cutlass, flashinfer_trtllm) for clarity and consistency.
  • Updated Internal Logic: The Fp4GemmRunnerBackend enum and related helper methods have been updated to reflect these new names and provide a mapping to FlashInfer's internal API names.
  • Documentation and Deprecation: Documentation for server arguments and environment variables has been updated, with the SGLANG_FLASHINFER_FP4_GEMM_BACKEND environment variable being marked as deprecated in favor of the new CLI argument.
  • Test Case Renaming: Corresponding test classes have been renamed to align with the new backend option names.

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Code Review

This pull request refactors the fp4-gemm-backend options by adding a flashinfer_ prefix for consistency, which is a good improvement for clarity. The changes are applied consistently across the codebase, including documentation, enums, and tests. I've identified a minor formatting issue in one of the documentation files and suggested a small code simplification for better maintainability. Overall, the changes are well-implemented and achieve the stated goal.

Comment thread docs/references/environment_variables.md Outdated
Comment thread python/sglang/srt/layers/quantization/fp4_utils.py Outdated
@b8zhong b8zhong changed the title [Refactor] Tiny rename fp4-gemm-backend with flashinfer_ prefix [Refactor] Set fp4-gemm-backend=auto on SM100 and rename fp4-gemm-backend with flashinfer_ prefix Jan 18, 2026
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b8zhong commented Jan 18, 2026

/tag-and-rerun-ci one more time

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All fp4 gemm tests passed

截屏2026-01-19 20 05 52

@Fridge003 Fridge003 merged commit f374623 into sgl-project:main Jan 19, 2026
243 of 267 checks passed
@b8zhong b8zhong deleted the brayden/tiny-rename-flashinfer-trtllm branch January 19, 2026 15:50
DotSlash-A pushed a commit to DotSlash-A/sglang that referenced this pull request Jan 19, 2026
* fix(ci): recover from corrupted MMMU parquet cache (sgl-project#17256)

* [diffusion] feat: support default 4-step inference for Flux2-Klein distilled models (sgl-project#17225)

Signed-off-by: Lancer <maruixiang6688@gmail.com>

* Add runner utilization report workflow (sgl-project#17234)

* cli: support sglang version (sgl-project#17250)

* Use swa radix cache and memory pool for gpt-oss model (sgl-project#17261)

* [VLM][Reland] Refactor load_mm_data to improve performance (sgl-project#16152)

Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>

* [Tiny] Improve docs (sgl-project#17264)

* [diffusion] fix: set guidance_scale default to None (sgl-project#17182)

* Tiny fix comment typo (sgl-project#17287)

* [SPEC_V2] Enable cudagraph draft_extend for trtllm_mla_backend and Acclen Fix for DP under cudagraph mode (sgl-project#16974)

* Add kl test for swa radix cache (sgl-project#17281)

* fix: Handle multiple named chat templates in HuggingFace tokenizers (sgl-project#17236)

Signed-off-by: Xinyuan Tong <xinyuantong.cs@gmail.com>

* Move radix cache related tests (sgl-project#17295)

* [Refactor] Add `-fp4-gemm-backend` to replace `SGLANG_FLASHINFER_FP4_GEMM_BACKEND` (sgl-project#16534)

Co-authored-by: Vincent Zhong <207368749+vincentzed@users.noreply.github.com>

* [Bugfix] Fix PD accuracy when MTP is not configured on the prefill node (sgl-project#17212)

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* [Diffusion] Apply jit qk_norm to flux1 (sgl-project#17296)

* [Refactor] Split out deepseek v2 weight loader function into mixin (sgl-project#16649)

* [NPU]Support GPT-OSS for NPU (sgl-project#14197)

* [jit-kernel] Add CuTe DSL GDN Decode Kernel (sgl-project#15631)

Co-authored-by: Jinyan Chen <jinyanc@nvidia.com>

* [GLM 4.7] Add RTX 6000 Pro aka sm120 (sgl-project#17235)

Co-authored-by: root <root@ubuntu-nvidia.localdomain>

* Update CODEOWNERS for multimodal_gen (sgl-project#17308)

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* [Feature] overlap LoRA weight loading with compute (sgl-project#15512)

* [PD] Optimize MHA models pp util calculation logic (sgl-project#17306)

* [Minor] Correct sglang version when installing from source (sgl-project#17315)

* Use dsv3 optimized routing `fused_topk_deepseek` instead of `moe_fused_gate` (sgl-project#15347)

* [DeepSeek v3.2] Opt MTP decode cuda batch sizes and nsa implementation (sgl-project#16961)

* Update code sync scripts (sgl-project#17319)

* [Auto Sync] Update tokenizer_manager.py (20260119) (sgl-project#17317)

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* support new qwen3_coder_detector (sgl-project#16744)

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* Fix kernel selection in biased_grouped_topk_gpu (sgl-project#17325)

* KV Cache Events with Attention DP bug fix (sgl-project#16030) (sgl-project#16412)

* [Perf] fuse q, k norm for Flux2Attention (sgl-project#17241)

Co-authored-by: Minglei Zhu <zminglei@linkedin.com>

* [CI] Add partition to stage-b-test-large-1-gpu (11->12) (sgl-project#17245)

* fix(ci): rate limit and permission errors in trace publishing (sgl-project#17238)

* Revert "[Perf] fuse q, k norm for Flux2Attention (sgl-project#17241)" (sgl-project#17332)

* Migrate performance, accuracy, and quantization tests to CI registry (sgl-project#17177)

Co-authored-by: Kangyan-Zhou <zky314343421@gmail.com>

* Inclusion of nvfp4 blockscale in EPLB Rebalance (sgl-project#17158)

* [Refactor] Set `fp4-gemm-backend=auto` on SM100 and rename `fp4-gemm-backend` with `flashinfer_` prefix (sgl-project#17309)

* [Diffusion] Apply qknorm to flux2 and apply lightx2v rms_norm_one_pass kernel(without residual) (sgl-project#17305)

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

* Fix v32 continue_final_message not work (sgl-project#16567)

* Evict swa kv cache during decoding (sgl-project#17220)

* [RadixTree][1/N Refactor]: Support unified match_prefix params (sgl-project#17142)

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* [AMD CI] Migrate and Add More Testcases (sgl-project#17116)

Co-authored-by: yctseng0211 <yctseng@amd.com>

* [AMD] CI - add partitions for stage-b-test-small-1-gpu-amd (sgl-project#17345)

* Restore deepseek_v2.py to main's code, except the utils

* Ran `pre-commit`

---------

Signed-off-by: Lancer <maruixiang6688@gmail.com>
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