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LLM serving

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Mistral documents a kernel-level method for finding a vLLM memory leak

Mistral traced a 400MB-per-minute host-memory increase under production-like vLLM traffic through Python profiling, allocation analysis and kernel tracing until it found a dependency-layer interaction.

Why it matters: Inference leaks can hide below application heaps and pass short tests, making layered observability and sustained load reproduction essential before production rollout.

Read storyOriginal source · mistral.ai