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vllm - 💡(How to fix) Fix [Bug][Deepseek-v4-flash]: vLLM + Torch Inductor crash during AOT compile with InductorError: AssertionError in Triton decomposition pass [1 comments, 2 participants]

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vllm-project/vllm#41155•Fetched 2026-04-29 06:12:00
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Code Example

Your output of `python collect_env.py` here

---

python3 -m vllm.entrypoints.openai.api_server \
  --host "0.0.0.0" \
  --port "9560" \
  --uvicorn-log-level warning \
  --model /models/DeepSeek-V4-Flash \
  --served-model-name deepseek-v4-flash \
  --disable-fastapi-docs \
  --enable-log-requests \
  --trust-remote-code \
  --kv-cache-dtype fp8 \
  --kv-transfer-config '{"kv_connector":"NixlConnector","kv_role":"kv_consumer"}' \
  --tensor-parallel-size=8 \
  --max-model-len 131072
RAW_BUFFERClick to expand / collapse

Your current environment

<details> <summary>The output of <code>python collect_env.py</code></summary> 
Your output of `python collect_env.py` here
</details>

🐛 Describe the bug

python3 -m vllm.entrypoints.openai.api_server \
  --host "0.0.0.0" \
  --port "9560" \
  --uvicorn-log-level warning \
  --model /models/DeepSeek-V4-Flash \
  --served-model-name deepseek-v4-flash \
  --disable-fastapi-docs \
  --enable-log-requests \
  --trust-remote-code \
  --kv-cache-dtype fp8 \
  --kv-transfer-config '{"kv_connector":"NixlConnector","kv_role":"kv_consumer"}' \
  --tensor-parallel-size=8 \
  --max-model-len 131072

error_logs.rtf

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extent analysis

TL;DR

Review the error logs to identify the specific cause of the issue with the vllm API server.

Guidance

  • Check the error_logs.rtf file for any error messages or exceptions that may indicate the root cause of the issue.
  • Verify that the --model path /models/DeepSeek-V4-Flash exists and is accessible.
  • Confirm that the --kv-transfer-config is correctly formatted and that the NixlConnector is properly configured.
  • Test the API server with a smaller --tensor-parallel-size to see if the issue is related to the parallel size.

Notes

The issue lacks specific details about the error messages or exceptions, making it difficult to provide a more targeted solution.

Recommendation

Apply workaround: Review and adjust the configuration options, such as --tensor-parallel-size or --kv-transfer-config, to see if they resolve the issue.

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#api#vector store#embedding generation#cache error#pipeline error

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vllm - 💡(How to fix) Fix [Bug][Deepseek-v4-flash]: vLLM + Torch Inductor crash during AOT compile with InductorError: AssertionError in Triton decomposition pass [1 comments, 2 participants]