What causes cold start latency in GPU inference and how do you avoid it?
Cold start latency in GPU inference is the delay a new replica adds before it can serve its first token: pulling the container image, loading model weights into GPU memory, and initializing CUDA (Compute Unified Device Architecture) and the serving engine. You avoid it by keeping a request from eve…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-11-13 17:12 · DEV Community — AI
What causes cold start latency in GPU inference and how do you avoid it?