Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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cuda_illegal_memory_access
performance-cuda-illegal-memory--cuda-illegal-memory-access-occurs-when-serving-the-b544ecc0
IFCUDA illegal memory access occurs when serving the qwen3-next model with default async scheduling enabled.
THENDisable async scheduling by passing the --no-async-scheduling flag when starting vllm serve. This workaround avoids the illegal memory access error and allows the model to run without crashes.
Tier 170%
cuda_illegal_memory_access
infrastructure-cuda-illegal-memory--cuda-illegal-memory-access-error-occurs-when-servi-ccf12cb6
IFCUDA illegal memory access error occurs when serving Qwen3-next model.
THENAdd the `--no-async-scheduling` flag when running vllm serve. For example: `vllm serve Qwen/Qwen3-next --no-async-scheduling`. This disables asynchronous scheduling which appears to cause the memory access violation.
Tier 170%
cuda_illegal_memory_access
infrastructure-cuda-illegal-memory--vllm-crashes-with-cuda-error-an-illegal-memory-acc-79d81175
IFvLLM crashes with 'CUDA error: an illegal memory access was encountered' when using AWQ quantized models after upgrading to v0.6.3 or later.
THENSet the environment variable CUDA_LAUNCH_BLOCKING=1 before running vLLM to force synchronous kernel execution and obtain a meaningful stack trace for debugging. If the crash persists, consider downgrading vLLM to v0.6.2 or switching to a different quantization method (e.g., GPTQ or FP8). Ensure GPU memory is not overcommitted by monitoring nvidia-smi output.
Tier 170%
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