Your current environment

Collecting environment information...

    System Info

============================== OS : Ubuntu 24.04.1 LTS (x86_64) GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 Clang version : Could not collect CMake version : version 3.28.3 Libc version : glibc-2.39

============================== PyTorch Info

PyTorch version : 2.9.1+cu128 Is debug build : False CUDA used to build PyTorch : 12.8 ROCM used to build PyTorch : N/A XPU used to build PyTorch : N/A

============================== Python Environment

Python version : 3.12.3 (main, Jan 8 2026, 11:30:50) [GCC 13.3.0] (64-bit runtime) Python platform : Linux-6.19.12-arch1-1-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 GeForce RTX 5090 Nvidia driver version : 595.58.03 cuDNN version : Probably one of the following: /usr/lib/x86_64-linux-gnu/libcudnn.so.9.7.1 /usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.7.1 /usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.7.1 /usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.7.1 /usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.7.1 /usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.7.1 /usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.7.1 /usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.7.1 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): 192 On-line CPU(s) list: 0-191 Vendor ID: AuthenticAMD Model name: AMD Ryzen Threadripper PRO 7995WX 96-Cores CPU family: 25 Model: 24 Thread(s) per core: 2 Core(s) per socket: 96 Socket(s): 1 Stepping: 1 Frequency boost: enabled CPU(s) scaling MHz: 59% CPU max MHz: 5391.7671 CPU min MHz: 422.2470 BogoMIPS: 4992.11 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 bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed 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 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 vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap Virtualization: AMD-V L1d cache: 3 MiB (96 instances) L1i cache: 3 MiB (96 instances) L2 cache: 96 MiB (96 instances) L3 cache: 384 MiB (12 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-191 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; Safe RET 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: Mitigation; Clear CPU buffers Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Mitigation; IBPB before exit to userspace

============================== Versions of relevant libraries

[pip3] flashinfer-python==0.5.3 [pip3] mypy-extensions==1.0.0 [pip3] numpy==1.26.0 [pip3] nvidia-cublas-cu12==12.8.4.1 [pip3] nvidia-cuda-cupti-cu12==12.8.90 [pip3] nvidia-cuda-nvrtc-cu12==12.8.93 [pip3] nvidia-cuda-runtime-cu12==12.8.90 [pip3] nvidia-cudnn-cu12==9.10.2.21 [pip3] nvidia-cudnn-frontend==1.16.0 [pip3] nvidia-cufft-cu12==11.3.3.83 [pip3] nvidia-cufile-cu12==1.13.1.3 [pip3] nvidia-curand-cu12==10.3.9.90 [pip3] nvidia-cusolver-cu12==11.7.3.90 [pip3] nvidia-cusparse-cu12==12.5.8.93 [pip3] nvidia-cusparselt-cu12==0.7.1 [pip3] nvidia-cutlass-dsl==4.2.1 [pip3] nvidia-dali-cuda120==1.46.0 [pip3] nvidia-dali-tf-plugin-cuda120==1.46.0 [pip3] nvidia-ml-py==13.580.82 [pip3] nvidia-nccl-cu12==2.27.5 [pip3] nvidia-nvcomp-cu12==4.1.0.6 [pip3] nvidia-nvimgcodec-cu12==0.4.1.21 [pip3] nvidia-nvjitlink-cu12==12.8.93 [pip3] nvidia-nvjpeg2k-cu12==0.8.1.40 [pip3] nvidia-nvshmem-cu12==3.3.20 [pip3] nvidia-nvtiff-cu12==0.4.0.62 [pip3] nvidia-nvtx-cu12==12.8.90 [pip3] onnx==1.19.0 [pip3] optree==0.14.0 [pip3] pynvml==11.4.1 [pip3] pytorch-lightning==2.5.3 [pip3] pytorch-metric-learning==2.9.0 [pip3] pytorch-triton==3.5.0+git5ae38bdb [pip3] pyzmq==26.2.1 [pip3] torch==2.9.1 [pip3] torch-audiomentations==0.12.0 [pip3] torch_geometric==2.5.3 [pip3] torch_memory_saver==0.0.9 [pip3] torch_pitch_shift==1.2.5 [pip3] torchao==0.9.0 [pip3] torchaudio==2.9.1 [pip3] torchcde==0.2.5 [pip3] torchdiffeq==0.2.5 [pip3] torchdyn==1.0.6 [pip3] torchmetrics==1.8.1 [pip3] torchsde==0.2.6 [pip3] torchvision==0.24.1 [pip3] transformers==4.57.6 [pip3] triton==3.5.1 [conda] Could not collect

============================== vLLM Info

ROCM Version : Could not collect vLLM Version : 0.14.1 vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled GPU Topology: GPU0 CPU Affinity NUMA Affinity GPU NUMA ID GPU0 X 0-191 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

How you are installing vllm

start_command:
    - python
    - -m
    - vllm.entrypoints.openai.api_server
    - --model
    - Qwen/Qwen3.5-9B
    - --port
    - "8002"
    - --host
    - "0.0.0.0"
    - --gpu-memory-utilization
    - '0.8'
    - --enforce-eager
    - 'true'
    - --reasoning-parser
    - 'qwen3'
    - --tensor-parallel-size
    - '1'
    - --seed
    - '0'
    - --max-model-len
    - '32000'
    # - --enable-prefix-caching
    # - --kv-cache-dtype
    # - 'fp8'
    - --allowed-local-media-path
    - '/tmp'
    - --enable-auto-tool-choice
    - --tool-call-parser
    - qwen3_coder
    - --attention-backend 
    - flash_attn
    - --speculative-config
    - '{"method": "dflash", "model": "z-lab/Qwen3.5-9B-DFlash", "num_speculative_tokens": 15}'
    - --max-num-batched-tokens
    - '32000'

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