Sep 3, 2026 · 8 min read
When a request arrives, the model should already be waiting. In most clouds it isn't — a container has to boot, pull weights and warm up, and your user waits 30 seconds on the first call.
Cold starts are a capacity-planning problem masquerading as a latency problem. If you keep models loaded, you pay for idle. If you don't, you pay in dropped requests.
Nebula keeps models on standby across a shared fleet, so the first token lands in single-digit milliseconds — without a dedicated, always-on cluster.
Cold starts are a solved problem. We just stopped treating them as a cost of doing business.