vllm - 💡(How to fix) Fix [Bug]: Deepseek-OCR-2 cannot be deployed on H20 GPUs with vllm[0.20.0] and vllm-docker. [1 comments, 2 participants]

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vllm-project/vllm#41468Fetched 2026-05-02 05:28:01
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Error Message

(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/engine/core.py:1198] EngineCore loop active. (EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3905] Running batch with cudagraph_mode: NONE, batch_descriptor: BatchDescriptor(num_tokens=8, num_reqs=None, uniform=False, has_lora=False, num_active_loras=0), should_ubatch: False, num_tokens_across_dp: None (EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3926] ubatch_slices: None, ubatch_slices_padded: None (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] AsyncLLM output_handler failed. (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] Traceback (most recent call last): (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/async_llm.py", line 655, in output_handler (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] outputs = await engine_core.get_output_async() (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/core_client.py", line 998, in get_output_async (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] raise self._format_exception(outputs) from None (APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] vllm.v1.engine.exceptions.EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause. (APIServer pid=2698734) DEBUG 05-01 14:40:30 [entrypoints/utils.py:312] create_error_response called with EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause. (APIServer pid=2698734) INFO: 202.120.40.82:37348 - "POST /v1/chat/completions HTTP/1.1" 500 Internal Server Error

Root Cause

The error:

(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/engine/core.py:1198] EngineCore loop active.
(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3905] Running batch with cudagraph_mode: NONE, batch_descriptor: BatchDescriptor(num_tokens=8, num_reqs=None, uniform=False, has_lora=False, num_active_loras=0), should_ubatch: False, num_tokens_across_dp: None
(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3926] ubatch_slices: None, ubatch_slices_padded: None
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] AsyncLLM output_handler failed.
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] Traceback (most recent call last):
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]   File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/async_llm.py", line 655, in output_handler
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]     outputs = await engine_core.get_output_async()
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]   File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/core_client.py", line 998, in get_output_async
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]     raise self._format_exception(outputs) from None
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] vllm.v1.engine.exceptions.EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
(APIServer pid=2698734) DEBUG 05-01 14:40:30 [entrypoints/utils.py:312] create_error_response called with EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
(APIServer pid=2698734) INFO:     202.120.40.82:37348 - "POST /v1/chat/completions HTTP/1.1" 500 Internal Server Error

Fix Action

Fix / Workaround

============================== 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): 176 On-line CPU(s) list: 0-175 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) Platinum 8458P CPU family: 6 Model: 143 Thread(s) per core: 2 Core(s) per socket: 44 Socket(s): 2 Stepping: 8 Frequency boost: enabled CPU max MHz: 2701.0000 CPU min MHz: 800.0000 BogoMIPS: 5400.00 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities ibpb_exit_to_user Virtualization: VT-x L1d cache: 4.1 MiB (88 instances) L1i cache: 2.8 MiB (88 instances) L2 cache: 176 MiB (88 instances) L3 cache: 165 MiB (2 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-43,88-131 NUMA node1 CPU(s): 44-87,132-175 Vulnerability Gather data sampling: 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 Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Mitigation; IBPB before exit to userspace

Code Example

Collecting environment information...
uv is set
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.5 LTS (x86_64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0
Clang version                : Could not collect
CMake version                : version 3.22.1
Libc version                 : glibc-2.35

==============================
       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
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.13.5 | packaged by Anaconda, Inc. | (main, Jun 12 2025, 16:09:02) [GCC 11.2.0] (64-bit runtime)
Python platform              : Linux-5.15.0-174-generic-x86_64-with-glibc2.35

==============================
       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 H20
GPU 1: NVIDIA H20
GPU 2: NVIDIA H20
GPU 3: NVIDIA H20
GPU 4: NVIDIA H20
GPU 5: NVIDIA H20
GPU 6: NVIDIA H20
GPU 7: NVIDIA H20

Nvidia driver version        : 580.126.20
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):                                  176
On-line CPU(s) list:                     0-175
Vendor ID:                               GenuineIntel
Model name:                              Intel(R) Xeon(R) Platinum 8458P
CPU family:                              6
Model:                                   143
Thread(s) per core:                      2
Core(s) per socket:                      44
Socket(s):                               2
Stepping:                                8
Frequency boost:                         enabled
CPU max MHz:                             2701.0000
CPU min MHz:                             800.0000
BogoMIPS:                                5400.00
Flags:                                   fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities ibpb_exit_to_user
Virtualization:                          VT-x
L1d cache:                               4.1 MiB (88 instances)
L1i cache:                               2.8 MiB (88 instances)
L2 cache:                                176 MiB (88 instances)
L3 cache:                                165 MiB (2 instances)
NUMA node(s):                            2
NUMA node0 CPU(s):                       0-43,88-131
NUMA node1 CPU(s):                       44-87,132-175
Vulnerability Gather data sampling:      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 Reg file data sampling:    Not affected
Vulnerability Retbleed:                  Not affected
Vulnerability Spec rstack overflow:      Not affected
Vulnerability Spec store bypass:         Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:                Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:                Mitigation; Enhanced / Automatic IBRS; IBPB conditional; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
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==0.6.8.post1
[pip3] numpy==2.4.4
[pip3] nvidia-cublas==13.1.0.3
[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==9.19.0.56
[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==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[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] torch-c-dlpack-ext==0.1.5
[pip3] torchaudio==2.11.0+cu130
[pip3] torchvision==0.26.0+cu130
[pip3] transformers==5.7.0
[pip3] triton==3.6.0
[conda] flashinfer-python                    0.6.9            pypi_0              pypi
[conda] numpy                                2.2.6            pypi_0              pypi
[conda] nvidia-cublas-cu12                   12.8.4.1         pypi_0              pypi
[conda] nvidia-cuda-cupti-cu12               12.8.90          pypi_0              pypi
[conda] nvidia-cuda-nvrtc-cu12               12.8.93          pypi_0              pypi
[conda] nvidia-cuda-runtime-cu12             12.8.90          pypi_0              pypi
[conda] nvidia-cudnn-cu12                    9.10.2.21        pypi_0              pypi
[conda] nvidia-cudnn-frontend                1.18.0           pypi_0              pypi
[conda] nvidia-cufft-cu12                    11.3.3.83        pypi_0              pypi
[conda] nvidia-cufile-cu12                   1.13.1.3         pypi_0              pypi
[conda] nvidia-curand-cu12                   10.3.9.90        pypi_0              pypi
[conda] nvidia-cusolver-cu12                 11.7.3.90        pypi_0              pypi
[conda] nvidia-cusparse-cu12                 12.5.8.93        pypi_0              pypi
[conda] nvidia-cusparselt-cu12               0.7.1            pypi_0              pypi
[conda] nvidia-cutlass-dsl                   4.4.2            pypi_0              pypi
[conda] nvidia-cutlass-dsl-libs-base         4.4.2            pypi_0              pypi
[conda] nvidia-ml-py                         13.590.48        pypi_0              pypi
[conda] nvidia-nccl-cu12                     2.27.5           pypi_0              pypi
[conda] nvidia-nvjitlink-cu12                12.8.93          pypi_0              pypi
[conda] nvidia-nvshmem-cu12                  3.3.20           pypi_0              pypi
[conda] nvidia-nvtx-cu12                     12.8.90          pypi_0              pypi
[conda] pyzmq                                27.1.0           pypi_0              pypi
[conda] torch                                2.9.1            pypi_0              pypi
[conda] torchaudio                           2.9.1            pypi_0              pypi
[conda] torchvision                          0.24.1           pypi_0              pypi
[conda] transformers                         4.57.0           pypi_0              pypi
[conda] triton                               3.5.1            pypi_0              pypi

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.20.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6    NIC7    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    44-87,132-175   1               N/A
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     SYS     NODE    PIX     NODE    NODE    44-87,132-175   1               N/A
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     NODE    NODE    PIX     NODE    44-87,132-175   1               N/A
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX     44-87,132-175   1               N/A
NIC0    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS      X      NODE    NODE    NODE    SYS     SYS     SYS     SYS
NIC1    NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     NODE     X      NODE    NODE    SYS     SYS     SYS     SYS
NIC2    NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     NODE    NODE     X      NODE    SYS     SYS     SYS     SYS
NIC3    NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     NODE    NODE    NODE     X      SYS     SYS     SYS     SYS
NIC4    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS      X      NODE    NODE    NODE
NIC5    SYS     SYS     SYS     SYS     NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     NODE     X      NODE    NODE
NIC6    SYS     SYS     SYS     SYS     NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     NODE    NODE     X      NODE
NIC7    SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     NODE    NODE    NODE     X

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

NIC Legend:

  NIC0: mlx5_0
  NIC1: mlx5_1
  NIC2: mlx5_2
  NIC3: mlx5_3
  NIC4: mlx5_4
  NIC5: mlx5_5
  NIC6: mlx5_6
  NIC7: mlx5_7

==============================
     Environment Variables
==============================
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1

---

"messages": [{"role": "user", "content": "Hello"}]

---

(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/engine/core.py:1198] EngineCore loop active.
(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3905] Running batch with cudagraph_mode: NONE, batch_descriptor: BatchDescriptor(num_tokens=8, num_reqs=None, uniform=False, has_lora=False, num_active_loras=0), should_ubatch: False, num_tokens_across_dp: None
(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3926] ubatch_slices: None, ubatch_slices_padded: None
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] AsyncLLM output_handler failed.
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] Traceback (most recent call last):
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]   File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/async_llm.py", line 655, in output_handler
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]     outputs = await engine_core.get_output_async()
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]   File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/core_client.py", line 998, in get_output_async
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]     raise self._format_exception(outputs) from None
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] vllm.v1.engine.exceptions.EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
(APIServer pid=2698734) DEBUG 05-01 14:40:30 [entrypoints/utils.py:312] create_error_response called with EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
(APIServer pid=2698734) INFO:     202.120.40.82:37348 - "POST /v1/chat/completions HTTP/1.1" 500 Internal Server Error

---

VLLM_LOGGING_LEVEL=DEBUG CUDA_LAUNCH_BLOCKING=1 TORCH_USE_CUDA_DSA=1 VLLM_USE_V1=0 VLLM_USE_FLASHINFER=0 VLLM_ATTENTION_BACKEND=FLASH_ATTN CUDA_VISIBLE_DEVICES=0 vllm serve /modelremote/deepseek-ai_DeepSeek-OCR-2/ --trust-remote-code --api-key xxxxxx --max-model-len 8192 --enforce-eager --max-num-seqs 1
RAW_BUFFERClick to expand / collapse

Your current environment

<details> <summary>The output of <code>python collect_env.py</code></summary>
Collecting environment information...
uv is set
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.5 LTS (x86_64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0
Clang version                : Could not collect
CMake version                : version 3.22.1
Libc version                 : glibc-2.35

==============================
       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
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.13.5 | packaged by Anaconda, Inc. | (main, Jun 12 2025, 16:09:02) [GCC 11.2.0] (64-bit runtime)
Python platform              : Linux-5.15.0-174-generic-x86_64-with-glibc2.35

==============================
       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 H20
GPU 1: NVIDIA H20
GPU 2: NVIDIA H20
GPU 3: NVIDIA H20
GPU 4: NVIDIA H20
GPU 5: NVIDIA H20
GPU 6: NVIDIA H20
GPU 7: NVIDIA H20

Nvidia driver version        : 580.126.20
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):                                  176
On-line CPU(s) list:                     0-175
Vendor ID:                               GenuineIntel
Model name:                              Intel(R) Xeon(R) Platinum 8458P
CPU family:                              6
Model:                                   143
Thread(s) per core:                      2
Core(s) per socket:                      44
Socket(s):                               2
Stepping:                                8
Frequency boost:                         enabled
CPU max MHz:                             2701.0000
CPU min MHz:                             800.0000
BogoMIPS:                                5400.00
Flags:                                   fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities ibpb_exit_to_user
Virtualization:                          VT-x
L1d cache:                               4.1 MiB (88 instances)
L1i cache:                               2.8 MiB (88 instances)
L2 cache:                                176 MiB (88 instances)
L3 cache:                                165 MiB (2 instances)
NUMA node(s):                            2
NUMA node0 CPU(s):                       0-43,88-131
NUMA node1 CPU(s):                       44-87,132-175
Vulnerability Gather data sampling:      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 Reg file data sampling:    Not affected
Vulnerability Retbleed:                  Not affected
Vulnerability Spec rstack overflow:      Not affected
Vulnerability Spec store bypass:         Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:                Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:                Mitigation; Enhanced / Automatic IBRS; IBPB conditional; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
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==0.6.8.post1
[pip3] numpy==2.4.4
[pip3] nvidia-cublas==13.1.0.3
[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==9.19.0.56
[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==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.595.45
[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] torch-c-dlpack-ext==0.1.5
[pip3] torchaudio==2.11.0+cu130
[pip3] torchvision==0.26.0+cu130
[pip3] transformers==5.7.0
[pip3] triton==3.6.0
[conda] flashinfer-python                    0.6.9            pypi_0              pypi
[conda] numpy                                2.2.6            pypi_0              pypi
[conda] nvidia-cublas-cu12                   12.8.4.1         pypi_0              pypi
[conda] nvidia-cuda-cupti-cu12               12.8.90          pypi_0              pypi
[conda] nvidia-cuda-nvrtc-cu12               12.8.93          pypi_0              pypi
[conda] nvidia-cuda-runtime-cu12             12.8.90          pypi_0              pypi
[conda] nvidia-cudnn-cu12                    9.10.2.21        pypi_0              pypi
[conda] nvidia-cudnn-frontend                1.18.0           pypi_0              pypi
[conda] nvidia-cufft-cu12                    11.3.3.83        pypi_0              pypi
[conda] nvidia-cufile-cu12                   1.13.1.3         pypi_0              pypi
[conda] nvidia-curand-cu12                   10.3.9.90        pypi_0              pypi
[conda] nvidia-cusolver-cu12                 11.7.3.90        pypi_0              pypi
[conda] nvidia-cusparse-cu12                 12.5.8.93        pypi_0              pypi
[conda] nvidia-cusparselt-cu12               0.7.1            pypi_0              pypi
[conda] nvidia-cutlass-dsl                   4.4.2            pypi_0              pypi
[conda] nvidia-cutlass-dsl-libs-base         4.4.2            pypi_0              pypi
[conda] nvidia-ml-py                         13.590.48        pypi_0              pypi
[conda] nvidia-nccl-cu12                     2.27.5           pypi_0              pypi
[conda] nvidia-nvjitlink-cu12                12.8.93          pypi_0              pypi
[conda] nvidia-nvshmem-cu12                  3.3.20           pypi_0              pypi
[conda] nvidia-nvtx-cu12                     12.8.90          pypi_0              pypi
[conda] pyzmq                                27.1.0           pypi_0              pypi
[conda] torch                                2.9.1            pypi_0              pypi
[conda] torchaudio                           2.9.1            pypi_0              pypi
[conda] torchvision                          0.24.1           pypi_0              pypi
[conda] transformers                         4.57.0           pypi_0              pypi
[conda] triton                               3.5.1            pypi_0              pypi

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.20.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6    NIC7    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     0-43,88-131     0               N/A
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    44-87,132-175   1               N/A
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     SYS     NODE    PIX     NODE    NODE    44-87,132-175   1               N/A
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     NODE    NODE    PIX     NODE    44-87,132-175   1               N/A
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX     44-87,132-175   1               N/A
NIC0    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS      X      NODE    NODE    NODE    SYS     SYS     SYS     SYS
NIC1    NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     NODE     X      NODE    NODE    SYS     SYS     SYS     SYS
NIC2    NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     NODE    NODE     X      NODE    SYS     SYS     SYS     SYS
NIC3    NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     NODE    NODE    NODE     X      SYS     SYS     SYS     SYS
NIC4    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS      X      NODE    NODE    NODE
NIC5    SYS     SYS     SYS     SYS     NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     NODE     X      NODE    NODE
NIC6    SYS     SYS     SYS     SYS     NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     NODE    NODE     X      NODE
NIC7    SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     NODE    NODE    NODE     X

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

NIC Legend:

  NIC0: mlx5_0
  NIC1: mlx5_1
  NIC2: mlx5_2
  NIC3: mlx5_3
  NIC4: mlx5_4
  NIC5: mlx5_5
  NIC6: mlx5_6
  NIC7: mlx5_7

==============================
     Environment Variables
==============================
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
</details>

🐛 Describe the bug

When I launch vllm to serve DeepSeek-OCR-2, it always gets the following error even the message is only:

"messages": [{"role": "user", "content": "Hello"}]

The error:

(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/engine/core.py:1198] EngineCore loop active.
(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3905] Running batch with cudagraph_mode: NONE, batch_descriptor: BatchDescriptor(num_tokens=8, num_reqs=None, uniform=False, has_lora=False, num_active_loras=0), should_ubatch: False, num_tokens_across_dp: None
(EngineCore pid=2699768) DEBUG 05-01 14:40:30 [v1/worker/gpu_model_runner.py:3926] ubatch_slices: None, ubatch_slices_padded: None
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] AsyncLLM output_handler failed.
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] Traceback (most recent call last):
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]   File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/async_llm.py", line 655, in output_handler
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]     outputs = await engine_core.get_output_async()
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]   File "/mnt/nvme3/zwx/.venv/lib/python3.13/site-packages/vllm/v1/engine/core_client.py", line 998, in get_output_async
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699]     raise self._format_exception(outputs) from None
(APIServer pid=2698734) ERROR 05-01 14:40:30 [v1/engine/async_llm.py:699] vllm.v1.engine.exceptions.EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
(APIServer pid=2698734) DEBUG 05-01 14:40:30 [entrypoints/utils.py:312] create_error_response called with EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
(APIServer pid=2698734) INFO:     202.120.40.82:37348 - "POST /v1/chat/completions HTTP/1.1" 500 Internal Server Error

The launching code:

VLLM_LOGGING_LEVEL=DEBUG CUDA_LAUNCH_BLOCKING=1 TORCH_USE_CUDA_DSA=1 VLLM_USE_V1=0 VLLM_USE_FLASHINFER=0 VLLM_ATTENTION_BACKEND=FLASH_ATTN CUDA_VISIBLE_DEVICES=0 vllm serve /modelremote/deepseek-ai_DeepSeek-OCR-2/ --trust-remote-code --api-key xxxxxx --max-model-len 8192 --enforce-eager --max-num-seqs 1

Before submitting a new issue...

  • Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

extent analysis

TL;DR

The issue is likely related to the EngineCore encountering an issue, and the error message "EngineCore encountered an issue" is too broad to pinpoint the exact cause, so we need to investigate further.

Guidance

  • Check the CUDA and GPU settings, as the error occurs when running the model on a GPU.
  • Verify that the CUDA_VISIBLE_DEVICES environment variable is set correctly and that the GPU is properly configured.
  • Investigate the vllm serve command and its parameters, such as --max-model-len, --enforce-eager, and --max-num-seqs, to ensure they are set correctly for the model being used.
  • Review the stack trace to see if there are any hints about the root cause of the issue, such as a specific library or function call that is failing.

Example

No specific code example can be provided without more information about the issue, but checking the CUDA and GPU settings can be done using commands like nvidia-smi to verify the GPU status.

Notes

The error message "EngineCore encountered an issue" is quite broad, and more information is needed to provide a specific solution. The investigation should focus on the GPU and CUDA settings, as well as the vllm serve command and its parameters.

Recommendation

Apply a workaround by trying to run the model on a different GPU or with different CUDA settings to see if the issue persists. If the issue is resolved, it may indicate a problem with the specific GPU or CUDA configuration.

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