[KongchangAI]
Unverified50% confidenceFactExact time

Out-of-memory (OOM) during training is mostly caused by oversized batches, longer sequences, or accumulation of intermediate activations; in the inference stage it is often triggered by rising concurrent request counts and KV Cache growing linearly with context length.

1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen

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