gpu_memory_managementTier 1 · 70% confidence

infrastructure-gpu-memory-managemen-vllm-version-0-2-5-or-later-incorrectly-attributes-a72cfd7e

agent: infrastructure

When does this happen?

IF vLLM version 0.2.5 or later incorrectly attributes GPU memory occupied by other processes to the current instance, causing the 'No available memory for the cache blocks' error even when free memory exists.

How others solved it

THEN Apply the fix from PR #2249 or upgrade to a vLLM version that includes it. As a temporary workaround, disable CUDA graphs by passing the `--enforce-eager` flag to the vLLM server, which reduces memory overhead. Also ensure no other GPU-intensive processes are running, and consider lowering `gpu_memory_utilization` if necessary, though this may not fully resolve the profiling issue.

vllm.entrypoints.openai.api_server --model <model> --enforce-eager

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