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[DSA] Support trtllm sparse mla kernel for prefill batches #21783

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trtllm-prefill-nsa
Apr 1, 2026
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[DSA] Support trtllm sparse mla kernel for prefill batches #21783
Fridge003 merged 5 commits intomainfrom
trtllm-prefill-nsa

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Motivation

Depends on flashinfer v0.6.7 #21422

Modifications

Accuracy Tests

Speed Tests and Profiling

Checklist

Review and Merge Process

  1. Ping Merge Oncalls to start the process. See the PR Merge Process.
  2. Get approvals from CODEOWNERS and other reviewers.
  3. Trigger CI tests with comments or contact authorized users to do so.
    • Common commands include /tag-and-rerun-ci, /tag-run-ci-label, /rerun-failed-ci
  4. After green CI and required approvals, ask Merge Oncalls or people with Write permission to merge the PR.

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@Fridge003 Fridge003 marked this pull request as draft March 31, 2026 22:48
@Fridge003 Fridge003 marked this pull request as ready for review April 1, 2026 05:58
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Fridge003 commented Apr 1, 2026

Benchmark results

Model: GLM-5 fp8 on B200, TP8
Baseline: fp8 kv cache + flashmla_sparse prefill + flashmla_kv decode

sglang serve --model-path zai-org/GLM-5-FP8 --tp 8 --trust-remote-code --host 127.0.0.1 --port 30000 --nsa-prefill-backend flashmla_sparse --nsa-decode-backend flashmla_kv --kv-cache-dtype fp8_e4m3

PR: fp8 kv cache + trtllm preill + trtllm decode

sglang serve --model-path zai-org/GLM-5-FP8 --tp 8 --trust-remote-code --host 127.0.0.1 --port 30000 --nsa-prefill-backend trtllm --nsa-decode-backend trtllm --kv-cache-dtype fp8_e4m3

Send-One

Baseline:

+-------------+--------+------------+-----------------+
| Latency (s) | Tokens | Acc Length | Speed (token/s) |
+-------------+--------+------------+-----------------+
|    8.062    |  512   |   1.000    |      63.51      |
+-------------+--------+------------+-----------------+

PR:

+-------------+--------+------------+-----------------+
| Latency (s) | Tokens | Acc Length | Speed (token/s) |
+-------------+--------+------------+-----------------+
|    8.041    |  512   |   1.000    |      63.67      |
+-------------+--------+------------+-----------------+

1k-isl-1k-osl-16-concurrency

python3 -m sglang.bench_serving --backend sglang --num-prompts 64 --dataset-name random --random-input 1024 --random-output 1024 --random-range-ratio 1.0 --max-concurrency 16

Baseline:

============ Serving Benchmark Result ============
Backend:                                 sglang    
Traffic request rate:                    inf       
Max request concurrency:                 16        
Successful requests:                     64        
Benchmark duration (s):                  89.52     
Total input tokens:                      65536     
Total input text tokens:                 65536     
Total generated tokens:                  65536     
Total generated tokens (retokenized):    65523     
Request throughput (req/s):              0.71      
Input token throughput (tok/s):          732.08    
Output token throughput (tok/s):         732.08    
Peak output token throughput (tok/s):    768.00    
Peak concurrent requests:                32        
Total token throughput (tok/s):          1464.16   
Concurrency:                             15.99     
----------------End-to-End Latency----------------
Mean E2E Latency (ms):                   22371.28  
Median E2E Latency (ms):                 22367.17  
P90 E2E Latency (ms):                    22500.67  
P99 E2E Latency (ms):                    22501.75  
---------------Time to First Token----------------
Mean TTFT (ms):                          702.87    
Median TTFT (ms):                        717.30    
P99 TTFT (ms):                           747.08    
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms):                          21.18     
Median TPOT (ms):                        21.24     
P99 TPOT (ms):                           21.41     
---------------Inter-Token Latency----------------
Mean ITL (ms):                           21.18     
Median ITL (ms):                         21.16     
P95 ITL (ms):                            21.71     
P99 ITL (ms):                            22.17     
Max ITL (ms):                            163.60    
==================================================

PR:

============ Serving Benchmark Result ============
Backend:                                 sglang    
Traffic request rate:                    inf       
Max request concurrency:                 16        
Successful requests:                     64        
Benchmark duration (s):                  89.26     
Total input tokens:                      65536     
Total input text tokens:                 65536     
Total generated tokens:                  65536     
Total generated tokens (retokenized):    65511     
Request throughput (req/s):              0.72      
Input token throughput (tok/s):          734.18    
Output token throughput (tok/s):         734.18    
Peak output token throughput (tok/s):    784.00    
Peak concurrent requests:                32        
Total token throughput (tok/s):          1468.36   
Concurrency:                             15.99     
----------------End-to-End Latency----------------
Mean E2E Latency (ms):                   22307.50  
Median E2E Latency (ms):                 22355.14  
P90 E2E Latency (ms):                    22434.27  
P99 E2E Latency (ms):                    22435.01  
---------------Time to First Token----------------
Mean TTFT (ms):                          718.44    
Median TTFT (ms):                        722.77    
P99 TTFT (ms):                           762.38    
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms):                          21.10     
Median TPOT (ms):                        21.20     
P99 TPOT (ms):                           21.35     
---------------Inter-Token Latency----------------
Mean ITL (ms):                           21.10     
Median ITL (ms):                         21.10     
P95 ITL (ms):                            21.66     
P99 ITL (ms):                            21.93     
Max ITL (ms):                            165.95    
==================================================

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Fridge003 commented Apr 1, 2026

Accuracy Results

Launch:

sglang serve --model-path zai-org/GLM-5-FP8 --tp 8 --dp 8 --enable-dp-attention --trust-remote-code --host 127.0.0.1 --port 30000 --nsa-prefill-backend trtllm --nsa-decode-backend trtllm --kv-cache-dtype fp8_e4m3 --reasoning-parser glm45 --mem-fraction-static 0.85

GSM8k-20 shots:

python3 benchmark/gsm8k/bench_sglang.py --num-shots 20 --num-questions 1319 --parallel 1319

Accuracy: 0.951
Invalid: 0.000
Latency: 50.628 s
Output throughput: 2715.272 token/s

GPQA:

python3 -m sglang.test.run_eval --port 30000 --eval-name gpqa --num-examples 198 --max-tokens 128000 --repeat 8 --thinking-mode glm-45

Repeat: 8, mean: 0.849
Scores: ['0.854', '0.854', '0.869', '0.838', '0.838', '0.848', '0.823', '0.869'] 

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/rerun-stage stage-c-test-8-gpu-h200

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/rerun-stage stage-c-test-4-gpu-b200

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github-actions bot commented Apr 1, 2026

✅ Triggered stage-c-test-8-gpu-h200 to run independently (skipping dependencies). View workflow run

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github-actions bot commented Apr 1, 2026

✅ Triggered stage-c-test-4-gpu-b200 to run independently (skipping dependencies). View workflow run

@Fridge003 Fridge003 merged commit 5e12c4e into main Apr 1, 2026
101 of 111 checks passed
@Fridge003 Fridge003 deleted the trtllm-prefill-nsa branch April 1, 2026 20:55
satyamk7054 pushed a commit to satyamk7054/sglang that referenced this pull request Apr 3, 2026
realray808 pushed a commit to Ascend/sglang that referenced this pull request Apr 3, 2026
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* [gRPC] Preserve original ImportError in grpc_server.py (sgl-project#21801)

Signed-off-by: Chang Su <chang.s.su@oracle.com>

* [Misc] Tiny: Add test network timeouts and dynamic max-parallel for 5090/2-gpu runners (sgl-project#21800)

* Fix draft extend cuda graph when spec_step=1 (sgl-project#21709)

* [Diffusion] Add `--uvicorn-access-log-exclude-prefixes` to suppress noisy access logs (sgl-project#20379)

* Add latency and throughput metrics to run_eval (sgl-project#21793)

* [diffusion] CI: improve ci reliability (sgl-project#21763)

* [bugfix]GLM-4V model (sgl-project#17122)

* Fix CVEs in Docker image: pillow, linux-libc-dev, and broken sgl-model-gateway build (sgl-project#21789)

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: only showing recent runners from ci failure analysis (sgl-project#21015)

* [MPS] Fix Triton stub sub-module imports on Python 3.12+ (sgl-project#21551)

Co-authored-by: karanb192 <karan@example.com>
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* [KDA] Fuse scaled_dot_kkt + solve_tril + recompute_w_u for KDA (sgl-project#21604)

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* chore: bump flashinfer version to 0.6.7 (sgl-project#21422)

Co-authored-by: sglang-bot <sglang-bot@users.noreply.github.com>
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* [3/n] lora moe - Support Qwen3-VL-30B-A3B-Instruct  (sgl-project#21469)

Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com>

* [Feature Restoration] repetition_penalty is essential for GLM-V models (sgl-project#21258)

Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>
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* VLM: change default mm-attention backend from triton_attn to fa4 (on blackwell) (sgl-project#21595)

* Fix added tokens config with sensible filter (sgl-project#17905)

* [AMD] Optimize Qwen3-VL decode - fuse QK-norm + 3D mRoPE + KV cache write (sgl-project#21458)

Co-authored-by: Bingxu Chen <bingxche@amd.com>
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* [Bugfix] Fix PP tied embeddings weight loading for qwen3.5 4B dense model (sgl-project#21347)

* [CI] Fix lint that was not applied in sgl-project#21458 (sgl-project#21818)

* Bug fix for llama eagle3 (sgl-project#21397)

* glm_interleave for GLM-V (sgl-project#21671)

* style refinement for hisparse (sgl-project#21198)

* [Bug][VLM] Fix shared memory race condition in ShmPointerMMData broadcast for multi-GPU VLM serving (sgl-project#21655)

* [Bugfix] Fix effective_mamba_size over-allocation (sgl-project#20858)

Co-authored-by: Shangming Cai <csmthu@gmail.com>

* Fix in-place mode in pause generation (sgl-project#21705)

* [diffusion] fix: respect --prompt-path (sgl-project#21756)

* [NPU] update ascend docs (sgl-project#21807)

* [VLM] remove AsyncMMDataProcessor wrapper (sgl-project#21651)

* Use CustomTestCase for TestSessionControl to enable CI retry (sgl-project#21830)

* [NPU]Add a full test pipeline on NPU, resolve issues in the NPU test architecture (sgl-project#20751)

* [diffusion][CI]: Add individual component accuracy CI for diffusion models (sgl-project#18709)

Co-authored-by: Xiaoyu Zhang <35585791+BBuf@users.noreply.github.com>

* [Feature] JIT rmsnorm update (with claude) (sgl-project#21834)

* [Diffusion][NPU] add ring sp performance benchmark page in npu (sgl-project#21811)

* fix(MiMo-V2-Flash): add mimo reasoning parser (sgl-project#21414)

* [diffusion] hardware: support FA3 attention backend on MUSA (attn backend, 14/N) (sgl-project#18648)

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
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* fix: pre-init tokenizer_manager to avoid AttributeError in shutdown (sgl-project#21824)

* [FlashInver v0.6.7] Integrate flashinfer_trtllm mxfp8 gemm (sgl-project#21576)

* [Misc] Add network timeout to eval dataset downloads (sgl-project#21873)

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* [refactor] Clean up duplicate flashinfer trtllm moe code (sgl-project#21233)

* [DSA] Support trtllm sparse mla kernel for prefill batches  (sgl-project#21783)

* [Disagg] GPU staging buffer with dynamic ring allocator for heterogeneous TP KV transfer (sgl-project#19890)

* Add merge prohibition policy during CI maintenance mode (sgl-project#21882)

* [Misc] Fix comparator e2e tests: add polars dep + fix dp-attention test (sgl-project#21804)

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* revert: remove TTL-based hard pin from HiRadixCache (sgl-project#21884)

* Unify GSM8K eval path to Chat API for regression CI readiness (sgl-project#21667)

* [HiCache] fix: Clone host indices to avoid memory leak (sgl-project#21624)

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* [HiCache & PD]Fixed detailed cache hit breakdown in PD scenarios. (sgl-project#21764)

* [CI] Add Llama 3.1 8B Instruct FP4 CI test on SM120 (sgl-project#20648)

* [CI] Add Per-Tensor, Blockwise FP8 Tests on SM120 (sgl-project#20717)

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* Allow /rerun-test to checkout fork PR branch for trusted users (sgl-project#21890)

* Direct model loading from object storage with Runai Model Streamer (sgl-project#17948)

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* fix pcg torch dynamo recompile in mxfp8 Triton path (sgl-project#21888)

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* chore: bump mooncake version to 0.3.10.post1 (sgl-project#21844)

* [VLM] Add VLM TP=4 per-commit CI test and improve MMMU eval prompt/parser (sgl-project#21841)

* fix(ci): update est_time for 57 tests based on runtime analysis (sgl-project#21896)

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* [CI] Increase multimodal server test timeout from 60 to 90 minutes (sgl-project#21897)

* [CI] Remove crashing Kimi K2.5 EAGLE3/MTP variants, keep TP8 and TP8+DP8 (sgl-project#21898)

* [diffusion] CI: add initial nvfp4 ci test for b200 (sgl-project#21767)

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* Migrate all callers from /get_server_info to /server_info (sgl-project#21463)

* Support PP key for file backend (sgl-project#21901)

* Enable multi-thread weight loading by default (sgl-project#20289)

* Skip Go stdlib and NVIDIA tool CVEs in Trivy scan (sgl-project#21905)

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* [Kernel] Fuse temperature + softmax in sampling for decode speedup (sgl-project#20501)

* Multi tool streaming fix (sgl-project#20004)

* Return HTTP 400 for streaming validation errors (sgl-project#21900)

* [Spec][Ngram] 4/N: Remove `max_match_window_size` and `min_match_window_size`, matching all suffixes of the Trie (sgl-project#21225)

* Fix ngram doc for speculative_num_draft_tokens default (sgl-project#21910)

* [NVIDIA] Enable fp8 flashinfer_trtllm_routed MoE for MiniMax-M2.5 (sgl-project#20394)

* scheduler: add prefill-only update in merge batch (sgl-project#21840)

* [DSA] Set trtllm kernels as nsa default for Blackwell (sgl-project#21914)

* Revert "Rollback flashmla to older version [1/2]" (sgl-project#21922)

* test: add manual init test for mooncake transfer engine (sgl-project#21842)

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* Fix spec v2 + logprob when max_num_token is set (sgl-project#20799)

* Migrate ngram corpus from torch cpp_extension to TVM FFI jit_kernel (sgl-project#21920)

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* [NPU] Support  GLM-4.7-Flash on NPU (sgl-project#21408)

* [CI] Fix gpu deps import in cpu test (sgl-project#21950)

* [Parallel State Refactor 1/n] Remove stream of PyNCCL (sgl-project#20866)

* [diffusion] chore: fix stage profiler for multi-stage denoising (sgl-project#21955)

* [CI] [Tracing] Add ci for tracing and fix bugs (sgl-project#21740)

* Remove logging for subprocess watchdog start (sgl-project#21968)

* [4/n] Support gpt oss 20b lora (sgl-project#21570)

* [MUSA][9/N] Add FA3 attention backend support through MATE (MUSA AI Tensor Engine) (sgl-project#17985)

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* [Feature] Stronger transformers modeling backend with TP, PP, MoE, VLMs, and torch compile (sgl-project#19163)

* [CI] Remove stale Ascend suite entries from test/srt/run_suite.py (sgl-project#21978)

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* Skip broken AutoModel mapping entries when resolving Llava submodules (sgl-project#21892)

* [CI] Add timeouts to Slack upload urlopen and WebClient (sgl-project#21903)

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* [Diffusion][NPU] Add support for MOVA (sgl-project#21633)

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* Remove maxItems=1 restriction when tool_choice is specified (sgl-project#20208)

* [Feature] NVFP4 Marlin fallback for non-Blackwell GPUs (SM75+) (sgl-project#19652)

* [PP] qwen3 vl skip layer id for pp (sgl-project#19135)

* [VLM] Enable per-image MM splitting by default and remove MULTI_IMAGES modality (sgl-project#21899)

* [Bugfix] Fix incorrect dp-attention parallel info in bench_one_batch (sgl-project#21519)

* Revert "[MUSA][9/N] Add FA3 attention backend support through MATE (MUSA AI Tensor Engine)" (sgl-project#22002)

* [NPU] Optimized the wording in the npu docs (sgl-project#21998)

* [Parallel State Refactor 2/n] Unify code path of AMD deterministic all reduce (sgl-project#20871)

* [AMD] Resolve the performance degression when launch server with "--enable-aiter-allreduce-fusion" (sgl-project#21947)

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* chore: bump sgl-kernel version to 0.4.1 (sgl-project#21447)

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* [Workflow] Avoid triggering nightly tests in kernel bump workflow (sgl-project#22010)

* [Workflow] Fix kernel release jobs skipped on push events (sgl-project#22011)

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* [PD]: Add support for HiSparse to directly transfer the cache from Prefill to Decode DRAM. (sgl-project#21591)

Co-authored-by: Tingwei Huang <huangtingwei9988@gmail.com>
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* [Misc] Update CI permission (sgl-project#22014)

* [ROCM][RL] Shuffle Weight In-Place to Preserve Parameter Attributes (sgl-project#21825)

* [CI] Fix duplicate job names that bypass branch protection (sgl-project#22001)

* fix: remove duplicate words in comments (sgl-project#22007)

* [PD] Tiny register info field cleanup for mooncake backend (sgl-project#22016)

* [NPU] optimize glm4.7 (sgl-project#19246)

* [AMD] Enable FP8 KV cache and FP8 attention kernel for NSA on MI300/MI355 with TileLang backend (sgl-project#21511)

* [AMD] Add MiniMax-M2.5 nightly perf benchmarks for MI30x and MI35x (sgl-project#21524)

---------

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Co-authored-by: Thomas <zs033@qq.com>
Co-authored-by: zhangshuai (S) <z00836796@china.huawei.com>
Co-authored-by: lviy <142899752+lviy@users.noreply.github.com>
Co-authored-by: Tingwei Huang <huangtingwei9988@gmail.com>
Co-authored-by: Yuzhen Zhou <82826991+zyzshishui@users.noreply.github.com>
Co-authored-by: Ricardo-M-L <69202550+Ricardo-M-L@users.noreply.github.com>
Co-authored-by: Kelon <kelonlu@163.com>
Co-authored-by: cen121212 <luochen23@huawei.com>
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