vLLM replicas init failure when launching with Ray on a single instance #33601
Description
Your current environment
==============================
System Info
OS : Ubuntu 22.04.5 LTS (x86_64)
GCC version : (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0
Clang version : Could not collect
CMake version : Could not collect
Libc version : glibc-2.35
==============================
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
==============================
Python Environment
Python version : 3.12.9 | packaged by conda-forge | (main, Mar 4 2025, 22:48:41) [GCC 13.3.0] (64-bit runtime)
Python platform : Linux-6.1.159-181.297.amzn2023.x86_64-x86_64-with-glibc2.35
==============================
CUDA / GPU Info
Is CUDA available : True
CUDA runtime version : 12.9.86
CUDA_MODULE_LOADING set to :
GPU models and configuration :
GPU 0: NVIDIA H200
GPU 1: NVIDIA H200
GPU 2: NVIDIA H200
GPU 3: NVIDIA H200
GPU 4: NVIDIA H200
GPU 5: NVIDIA H200
GPU 6: NVIDIA H200
GPU 7: NVIDIA H200
Nvidia driver version : 580.105.08
cuDNN version : Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.9.10.2
/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.10.2
/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.10.2
/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.10.2
/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.10.2
/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.10.2
/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.10.2
/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.10.2
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: 46 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 192
On-line CPU(s) list: 0-191
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8488C
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 48
Socket(s): 2
Stepping: 8
BogoMIPS: 4800.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq monitor ssse3 fma cx16 pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 wbnoinvd ida arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq rdpid cldemote movdiri movdir64b md_clear serialize amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 4.5 MiB (96 instances)
L1i cache: 3 MiB (96 instances)
L2 cache: 192 MiB (96 instances)
L3 cache: 210 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-47,96-143
NUMA node1 CPU(s): 48-95,144-191
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
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: Not affected
==============================
Versions of relevant libraries
[pip3] flashinfer-python==0.5.3
[pip3] numpy==1.26.4
[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==1.17.0
[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==4.3.5
[pip3] nvidia-ml-py==13.590.44
[pip3] nvidia-nccl-cu12==2.27.5
[pip3] nvidia-nvjitlink-cu12==12.8.93
[pip3] nvidia-nvshmem-cu12==3.3.20
[pip3] nvidia-nvtx-cu12==12.8.90
[pip3] pyzmq==27.1.0
[pip3] torch==2.9.1
[pip3] torchaudio==2.9.1
[pip3] torchvision==0.24.1
[pip3] transformers==4.57.5
[pip3] triton==3.5.1
[conda] flashinfer-python 0.5.3 pypi_0 pypi
[conda] numpy 1.26.4 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 1.17.0 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 4.3.5 pypi_0 pypi
[conda] nvidia-ml-py 13.590.44 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 4.57.5 pypi_0 pypi
[conda] triton 3.5.1 pypi_0 pypi
==============================
vLLM Info
ROCM Version : Could not collect
vLLM Version : 0.14.0
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 0-47,96-143 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 48-95,144-191 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 48-95,144-191 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 48-95,144-191 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X 48-95,144-191 1 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
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
NCCL_VERSION=2.27.3-1
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NVIDIA_PRODUCT_NAME=CUDA
CUDA_VERSION=12.9.1
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
🐛 Describe the bug
When we launch vLLM from Ray Data LLM, there is a bug that prevents us from launching multiple replicas of the same LLM model on the same instance. This is because of the following error:
(pid=46961) W0202 12:53:04.916000 46961 anaconda3/lib/python3.12/site-packages/torch/utils/cpp_extension.py:117] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2026-02-02 12:53:05,770 WARNING util.py:599 -- The argument ``concurrency`` is deprecated in Ray 2.51. Please specify argument ``compute`` instead. For more information, see https://docs.ray.io/en/master/data/transforming-data.html#stateful-transforms.
2026-02-02 12:53:05,771 WARNING util.py:599 -- The argument ``concurrency`` is deprecated in Ray 2.51. Please specify argument ``compute`` instead. For more information, see https://docs.ray.io/en/master/data/transforming-data.html#stateful-transforms.
2026-02-02 12:53:05,772 WARNING util.py:599 -- The argument ``concurrency`` is deprecated in Ray 2.51. Please specify argument ``compute`` instead. For more information, see https://docs.ray.io/en/master/data/transforming-data.html#stateful-transforms.
2026-02-02 12:53:05,774 INFO dataset.py:3641 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.
2026-02-02 12:53:05,860 INFO logging.py:397 -- Registered dataset logger for dataset dataset_7_0
2026-02-02 12:53:05,945 INFO limit_pushdown.py:140 -- Skipping push down of limit 1 through map MapBatches[MapBatches(DetokenizeUDF)] because it requires 64 rows to produce stable outputs
2026-02-02 12:53:05,945 INFO limit_pushdown.py:140 -- Skipping push down of limit 1 through map MapBatches[MapBatches(DetokenizeUDF)] because it requires 64 rows to produce stable outputs
2026-02-02 12:53:05,946 INFO streaming_executor.py:178 -- Starting execution of Dataset dataset_7_0. Full logs are in /tmp/ray/session_2026-02-02_12-52-52_704184_45794/logs/ray-data
2026-02-02 12:53:05,946 INFO streaming_executor.py:179 -- Execution plan of Dataset dataset_7_0: InputDataBuffer[Input] -> ActorPoolMapOperator[Map(_preprocess)->MapBatches(ChatTemplateUDF)] -> ActorPoolMapOperator[MapBatches(TokenizeUDF)] -> ActorPoolMapOperator[MapBatches(vLLMEngineStageUDF)] -> ActorPoolMapOperator[MapBatches(DetokenizeUDF)] -> LimitOperator[limit=1] -> TaskPoolMapOperator[Map(_postprocess)]
(MapWorker(Map(_preprocess)->MapBatches(ChatTemplateUDF)) pid=47057) Creating a CloudMirrorConfig from remote model path s3://open-weight-models/gpt-oss-20b-unsloth
(MapWorker(Map(_preprocess)->MapBatches(ChatTemplateUDF)) pid=47057) Skipping download of safetensors files.
(MapWorker(Map(_preprocess)->MapBatches(ChatTemplateUDF)) pid=47057) W0202 12:53:11.816000 47057 anaconda3/lib/python3.12/site-packages/torch/utils/cpp_extension.py:117] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
(MapWorker(Map(_preprocess)->MapBatches(ChatTemplateUDF)) pid=47057) Error reading s3://open-weight-models/gpt-oss-20b-unsloth/hash: An error occurred (NoSuchKey) when calling the GetObject operation: The specified key does not exist.
(MapWorker(Map(_preprocess)->MapBatches(ChatTemplateUDF)) pid=47057) Hash file does not exist in bucket s3://open-weight-models/gpt-oss-20b-unsloth. Using 0000000000000000000000000000000000000000 as the hash.
(MapWorker(Map(_preprocess)->MapBatches(ChatTemplateUDF)) pid=47057) Downloading model files to directory "/home/ray/.cache/huggingface/hub/models--s3:----open-weight-models--gpt-oss-20b-unsloth/snapshots/0000000000000000000000000000000000000000".
(MapWorker(Map(_preprocess)->MapBatches(ChatTemplateUDF)) pid=47057) Finished downloading model and tokenizer for s3://open-weight-models/gpt-oss-20b-unsloth from S3 storage
(MapWorker(MapBatches(TokenizeUDF)) pid=46960) W0202 12:53:19.072000 46960 anaconda3/lib/python3.12/site-packages/torch/utils/cpp_extension.py:117] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
(MapWorker(MapBatches(TokenizeUDF)) pid=46960) Downloading tokenizer from S3 mirror
(MapWorker(MapBatches(TokenizeUDF)) pid=46960) Creating a CloudMirrorConfig from remote model path s3://open-weight-models/gpt-oss-20b-unsloth
(MapWorker(MapBatches(TokenizeUDF)) pid=46960) Error reading s3://open-weight-models/gpt-oss-20b-unsloth/hash: An error occurred (NoSuchKey) when calling the GetObject operation: The specified key does not exist.
(MapWorker(MapBatches(TokenizeUDF)) pid=46960) Hash file does not exist in bucket s3://open-weight-models/gpt-oss-20b-unsloth. Using 0000000000000000000000000000000000000000 as the hash.
(MapWorker(MapBatches(TokenizeUDF)) pid=46960) Downloading model files to directory "/home/ray/.cache/huggingface/hub/models--s3:----open-weight-models--gpt-oss-20b-unsloth/snapshots/0000000000000000000000000000000000000000".
(MapWorker(MapBatches(TokenizeUDF)) pid=46960) Finished downloading tokenizer for s3://open-weight-models/gpt-oss-20b-unsloth from S3 storage
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Max pending requests is set to 141
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Excluding safetensors files when downloading the model.
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Creating a CloudMirrorConfig from remote model path s3://open-weight-models/gpt-oss-20b-unsloth
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Skipping download of safetensors files.
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Error reading s3://open-weight-models/gpt-oss-20b-unsloth/hash: An error occurred (NoSuchKey) when calling the GetObject operation: The specified key does not exist.
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Hash file does not exist in bucket s3://open-weight-models/gpt-oss-20b-unsloth. Using 0000000000000000000000000000000000000000 as the hash.
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Downloading model files to directory "/home/ray/.cache/huggingface/hub/models--s3:----open-weight-models--gpt-oss-20b-unsloth/snapshots/0000000000000000000000000000000000000000".
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46958) Finished downloading model and tokenizer for s3://open-weight-models/gpt-oss-20b-unsloth from S3 storage
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) Exception raised in creation task: The actor died because of an error raised in its creation task, ray::MapWorker(MapBatches(vLLMEngineStageUDF)).__init__() (pid=46964, ip=172.17.0.2, actor_id=0d8cbe441e5ce4c97c1ed0b101000000, repr=MapWorker(MapBatches(vLLMEngineStageUDF)))
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 603, in __init__
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) self._init_udf_with_retries(ctx)
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 630, in _init_udf_with_retries
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) raise last_exception
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 619, in _init_udf_with_retries
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) self._map_transformer.init()
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/map_transformer.py", line 196, in init
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) self._init_fn()
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/planner/plan_udf_map_op.py", line 348, in init_fn
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) udf_map_fn=udf(
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/llm/_internal/batch/stages/vllm_engine_stage.py", line 567, in __init__
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) self.llm = vLLMEngineWrapper(
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/llm/_internal/batch/stages/vllm_engine_stage.py", line 270, in __init__
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) self._vllm_config = engine_args.create_engine_config()
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/engine/arg_utils.py", line 1369, in create_engine_config
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) model_config = self.create_model_config()
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^^^^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/engine/arg_utils.py", line 1223, in create_model_config
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) return ModelConfig(
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/pydantic/_internal/_dataclasses.py", line 121, in __init__
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) s.__pydantic_validator__.validate_python(ArgsKwargs(args, kwargs), self_instance=s)
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/config/model.py", line 460, in __post_init__
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) self.maybe_pull_model_tokenizer_for_runai(self.model, self.tokenizer)
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/config/model.py", line 727, in maybe_pull_model_tokenizer_for_runai
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) object_storage_model = ObjectStorageModel(url=model)
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/transformers_utils/runai_utils.py", line 69, in __init__
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) os.makedirs(dir_name)
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) File "<frozen os>", line 225, in makedirs
(MapWorker(MapBatches(vLLMEngineStageUDF)) pid=46964) FileExistsError: [Errno 17] File exists: '/home/ray/.cache/vllm/assets/model_streamer/263be57c'
(raylet) Task MapWorker(MapBatches(vLLMEngineStageUDF)).get_location failed. There are infinite retries remaining, so the task will be retried. Error: The actor is temporarily unavailable: RpcError: RPC error: Cancelling all calls rpc_code: 14
2026-02-02 12:53:27,515 ERROR exceptions.py:73 -- Exception occurred in Ray Data or Ray Core internal code. If you continue to see this error, please open an issue on the Ray project GitHub page with the full stack trace below: https://github.com/ray-project/ray/issues/new/choose
2026-02-02 12:53:27,515 ERROR exceptions.py:81 -- Full stack trace:
Traceback (most recent call last):
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/exceptions.py", line 49, in handle_trace
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/plan.py", line 474, in execute_to_iterator
bundle_iter = execute_to_legacy_bundle_iterator(executor, self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/legacy_compat.py", line 50, in execute_to_legacy_bundle_iterator
bundle_iter = executor.execute(dag, initial_stats=stats)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/streaming_executor.py", line 186, in execute
self._topology = build_streaming_topology(dag, self._options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/streaming_executor_state.py", line 523, in build_streaming_topology
setup_state(dag)
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/streaming_executor_state.py", line 514, in setup_state
parent_state = setup_state(parent)
^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/streaming_executor_state.py", line 514, in setup_state
parent_state = setup_state(parent)
^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/streaming_executor_state.py", line 514, in setup_state
parent_state = setup_state(parent)
^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/streaming_executor_state.py", line 520, in setup_state
op.start(options)
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 273, in start
ray.get(refs, timeout=timeout)
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/_private/client_mode_hook.py", line 104, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/_private/worker.py", line 2967, in get
values, debugger_breakpoint = worker.get_objects(
^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/_private/worker.py", line 1017, in get_objects
raise value
ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::MapWorker(MapBatches(vLLMEngineStageUDF)).__init__() (pid=46964, ip=172.17.0.2, actor_id=0d8cbe441e5ce4c97c1ed0b101000000, repr=MapWorker(MapBatches(vLLMEngineStageUDF)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 603, in __init__
self._init_udf_with_retries(ctx)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 630, in _init_udf_with_retries
raise last_exception
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 619, in _init_udf_with_retries
self._map_transformer.init()
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/map_transformer.py", line 196, in init
self._init_fn()
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/planner/plan_udf_map_op.py", line 348, in init_fn
udf_map_fn=udf(
^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/llm/_internal/batch/stages/vllm_engine_stage.py", line 567, in __init__
self.llm = vLLMEngineWrapper(
^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/llm/_internal/batch/stages/vllm_engine_stage.py", line 270, in __init__
self._vllm_config = engine_args.create_engine_config()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/engine/arg_utils.py", line 1369, in create_engine_config
model_config = self.create_model_config()
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/engine/arg_utils.py", line 1223, in create_model_config
return ModelConfig(
^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/pydantic/_internal/_dataclasses.py", line 121, in __init__
s.__pydantic_validator__.validate_python(ArgsKwargs(args, kwargs), self_instance=s)
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/config/model.py", line 460, in __post_init__
self.maybe_pull_model_tokenizer_for_runai(self.model, self.tokenizer)
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/config/model.py", line 727, in maybe_pull_model_tokenizer_for_runai
object_storage_model = ObjectStorageModel(url=model)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/transformers_utils/runai_utils.py", line 69, in __init__
os.makedirs(dir_name)
File "<frozen os>", line 225, in makedirs
FileExistsError: [Errno 17] File exists: '/home/ray/.cache/vllm/assets/model_streamer/263be57c'
ray.data.exceptions.SystemException
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/ray/test.py", line 100, in <module>
ds.show(limit=1)
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/dataset.py", line 3726, in show
for row in self.take(limit):
^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/dataset.py", line 3648, in take
for row in limited_ds.iter_rows():
^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/iterator.py", line 249, in _wrapped_iterator
for batch in batch_iterable:
^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/iterator.py", line 193, in _create_iterator
) = self._to_ref_bundle_iterator()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/iterator/iterator_impl.py", line 27, in _to_ref_bundle_iterator
ref_bundles_iterator, stats = self._base_dataset._execute_to_iterator()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/dataset.py", line 6737, in _execute_to_iterator
bundle_iter, stats, executor = self._plan.execute_to_iterator()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/exceptions.py", line 89, in handle_trace
raise e.with_traceback(None) from SystemException()
ray.exceptions.ActorDiedError: The actor died because of an error raised in its creation task, ray::MapWorker(MapBatches(vLLMEngineStageUDF)).__init__() (pid=46964, ip=172.17.0.2, actor_id=0d8cbe441e5ce4c97c1ed0b101000000, repr=MapWorker(MapBatches(vLLMEngineStageUDF)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 603, in __init__
self._init_udf_with_retries(ctx)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 630, in _init_udf_with_retries
raise last_exception
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/actor_pool_map_operator.py", line 619, in _init_udf_with_retries
self._map_transformer.init()
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/execution/operators/map_transformer.py", line 196, in init
self._init_fn()
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/data/_internal/planner/plan_udf_map_op.py", line 348, in init_fn
udf_map_fn=udf(
^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/llm/_internal/batch/stages/vllm_engine_stage.py", line 567, in __init__
self.llm = vLLMEngineWrapper(
^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/ray/llm/_internal/batch/stages/vllm_engine_stage.py", line 270, in __init__
self._vllm_config = engine_args.create_engine_config()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/engine/arg_utils.py", line 1369, in create_engine_config
model_config = self.create_model_config()
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/engine/arg_utils.py", line 1223, in create_model_config
return ModelConfig(
^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/pydantic/_internal/_dataclasses.py", line 121, in __init__
s.__pydantic_validator__.validate_python(ArgsKwargs(args, kwargs), self_instance=s)
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/config/model.py", line 460, in __post_init__
self.maybe_pull_model_tokenizer_for_runai(self.model, self.tokenizer)
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/config/model.py", line 727, in maybe_pull_model_tokenizer_for_runai
object_storage_model = ObjectStorageModel(url=model)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ray/anaconda3/lib/python3.12/site-packages/vllm/transformers_utils/runai_utils.py", line 69, in __init__
os.makedirs(dir_name)
File "<frozen os>", line 225, in makedirs
FileExistsError: [Errno 17] File exists: '/home/ray/.cache/vllm/assets/model_streamer/263be57c'
I propose a simple solution (that I've verified) in line 67-70 of https://github.com/vllm-project/vllm/blob/main/vllm/transformers_utils/runai_utils.py:
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