MaGe Linux Operations
MaGe Linux Operations
Mar 10, 2026 · Artificial Intelligence

Why Your LLM Service Hits CUDA OOM and How to Diagnose GPU Memory Issues

This guide explains the five common sources of GPU memory consumption in large‑model inference services, provides a step‑by‑step diagnosis workflow—from static usage and KV‑Cache analysis to concurrency and K8s scheduling—offers concrete command‑line checks, scripts, configuration examples, and actionable remediation and monitoring recommendations.

GPU memoryKV cacheLLM OOM
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Why Your LLM Service Hits CUDA OOM and How to Diagnose GPU Memory Issues