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[Bug]: TTFT latency issue with Qwen3.5-35B-A3B model using vllm #35625

@shahizat

Description

@shahizat

Your current environment

The output of python collect_env.py
==============================
        System Info
==============================
OS                           : Ubuntu 24.04.3 LTS (x86_64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version                : Could not collect
CMake version                : version 4.2.1
Libc version                 : glibc-2.39

==============================
       PyTorch Info
==============================
PyTorch version              : 2.11.0+cu130
Is debug build               : False
CUDA used to build PyTorch   : 13.0
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.3 (main, Jan 22 2026, 20:57:42) [GCC 13.3.0] (64-bit runtime)
Python platform              : Linux-6.17.0-14-generic-x86_64-with-glibc2.39

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : Could not collect
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : 
GPU 0: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
GPU 1: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition

Nvidia driver version        : 580.126.09
cuDNN version                : Could not collect
HIP runtime version          : N/A
MIOpen runtime version       : N/A
Is XNNPACK available         : True

==============================
          CPU Info
==============================
Architecture:                            x86_64
CPU op-mode(s):                          32-bit, 64-bit
Address sizes:                           52 bits physical, 57 bits virtual
Byte Order:                              Little Endian
CPU(s):                                  48
On-line CPU(s) list:                     0-47
Vendor ID:                               AuthenticAMD
Model name:                              AMD Ryzen Threadripper 9960X 24-Cores
CPU family:                              26
Model:                                   8
Thread(s) per core:                      2
Core(s) per socket:                      24
Socket(s):                               1
Stepping:                                1
Frequency boost:                         enabled
CPU(s) scaling MHz:                      30%
CPU max MHz:                             5489.7642
CPU min MHz:                             1223.6230
BogoMIPS:                                8387.92
Flags:                                   fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl xtopology nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpuid_fault cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx_vnni avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid bus_lock_detect movdiri movdir64b overflow_recov succor smca fsrm avx512_vp2intersect flush_l1d debug_swap amd_lbr_pmc_freeze
Virtualization:                          AMD-V
L1d cache:                               1.1 MiB (24 instances)
L1i cache:                               768 KiB (24 instances)
L2 cache:                                24 MiB (24 instances)
L3 cache:                                128 MiB (4 instances)
NUMA node(s):                            1
NUMA node0 CPU(s):                       0-47
Vulnerability Gather data sampling:      Not affected
Vulnerability Ghostwrite:                Not affected
Vulnerability Indirect target selection: Not affected
Vulnerability Itlb multihit:             Not affected
Vulnerability L1tf:                      Not affected
Vulnerability Mds:                       Not affected
Vulnerability Meltdown:                  Not affected
Vulnerability Mmio stale data:           Not affected
Vulnerability Old microcode:             Not affected
Vulnerability Reg file data sampling:    Not affected
Vulnerability Retbleed:                  Not affected
Vulnerability Spec rstack overflow:      Mitigation; Reduced Speculation
Vulnerability Spec store bypass:         Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:                Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:                Mitigation; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                     Not affected
Vulnerability Tsa:                       Not affected
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Mitigation; IBPB before exit to userspace

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.4
[pip3] numpy==2.4.2
[pip3] nvidia-cublas==13.2.1.1
[pip3] nvidia-cuda-cupti==13.0.85
[pip3] nvidia-cuda-nvrtc==13.0.88
[pip3] nvidia-cuda-runtime==13.0.96
[pip3] nvidia-cudnn-cu13==9.19.1.2
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft==12.0.0.61
[pip3] nvidia-cufile==1.15.1.6
[pip3] nvidia-curand==10.4.0.35
[pip3] nvidia-cusolver==12.0.4.66
[pip3] nvidia-cusparse==12.6.3.3
[pip3] nvidia-cusparselt-cu13==0.8.0
[pip3] nvidia-cutlass-dsl==4.4.0
[pip3] nvidia-cutlass-dsl-libs-base==4.4.0
[pip3] nvidia-ml-py==13.590.48
[pip3] nvidia-nccl-cu13==2.28.9
[pip3] nvidia-nvjitlink==13.0.88
[pip3] nvidia-nvshmem-cu13==3.4.5
[pip3] nvidia-nvtx==13.0.85
[pip3] pyzmq==27.1.0
[pip3] torch==2.11.0+cu130
[pip3] torchvision==0.26.0+cu130
[pip3] transformers==4.57.6
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.16.1rc1.dev12+g111d86906.d20260226 (git sha: 111d86906, date: 20260226)
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
        GPU0    GPU1    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NODE    0-47    0               N/A
GPU1    NODE     X      0-47    0               N/A

Legend:

  X    = Self
  SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
  NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
  PHB  = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
  PXB  = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
  PIX  = Connection traversing at most a single PCIe bridge
  NV#  = Connection traversing a bonded set of # NVLinks

==============================
     Environment Variables
==============================
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_admin2

🐛 Describe the bug

Hello, I am experiencing severe tail latency for TTFT when running a concurrency benchmark on a Blackwell 6000 Pro and DGX Spark

Reproduce command:

vllm serve Qwen/Qwen3.5-35B-A3B \
  --port 8000 \
  --tensor-parallel-size 1 \
  --max-model-len 262144 \
  --reasoning-parser qwen3 \
  --speculative-config '{"method":"qwen3_next_mtp","num_speculative_tokens":2}' \
  --gpu-memory-utilization 0.8 \
  --language-model-only

Output:


============ Serving Benchmark Result ============
Successful requests:                     1000      
Failed requests:                         0         
Maximum request concurrency:             100       
Benchmark duration (s):                  38.30     
Total input tokens:                      128000    
Total generated tokens:                  128000    
Request throughput (req/s):              26.11     
Output token throughput (tok/s):         3341.89   
Peak output token throughput (tok/s):    2100.00   
Peak concurrent requests:                161.00    
Total token throughput (tok/s):          6683.78   
---------------Time to First Token----------------
Mean TTFT (ms):                          611.98    
Median TTFT (ms):                        191.57    
P99 TTFT (ms):                           4756.51   
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms):                          24.27     
Median TPOT (ms):                        22.93     
P99 TPOT (ms):                           49.27     
---------------Inter-token Latency----------------
Mean ITL (ms):                           58.46     
Median ITL (ms):                         57.57     
P99 ITL (ms):                            78.27     
---------------Speculative Decoding---------------
Acceptance rate (%):                     71.28     
Acceptance length:                       2.43      
Drafts:                                  52726     
Draft tokens:                            105452    
Accepted tokens:                         75168     
Per-position acceptance (%):
  Position 0:                            76.73     
  Position 1:                            65.84     
==================================================

DGX Spark:

============ Serving Benchmark Result ============
Successful requests:                     1000      
Failed requests:                         0         
Maximum request concurrency:             100       
Benchmark duration (s):                  296.70    
Total input tokens:                      128000    
Total generated tokens:                  128000    
Request throughput (req/s):              3.37      
Output token throughput (tok/s):         431.42    
Peak output token throughput (tok/s):    300.00    
Peak concurrent requests:                114.00    
Total token throughput (tok/s):          862.84    
---------------Time to First Token----------------
Mean TTFT (ms):                          2242.31   
Median TTFT (ms):                        1550.75   
P99 TTFT (ms):                           10033.63  
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms):                          206.55    
Median TPOT (ms):                        194.25    
P99 TPOT (ms):                           423.11    
---------------Inter-token Latency----------------
Mean ITL (ms):                           493.15    
Median ITL (ms):                         496.39    
P99 ITL (ms):                            640.49    
---------------Speculative Decoding---------------
Acceptance rate (%):                     70.24     
Acceptance length:                       2.40      
Drafts:                                  53194     
Draft tokens:                            106388    
Accepted tokens:                         74729     
Per-position acceptance (%):
  Position 0:                            75.77     
  Position 1:                            64.71     
==================================================

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