Why Are Models So Prone to Getting Dumber During Evening Peak Hours? Unpacking OpenAI's Compute Load Peak-Shaving Mechanism
Does code generation get worse at 10 p.m.? A comprehensive look at the current global compute crunch during high-concurrency daytime hours in Europe and the US, and an explanation of the engineering background behind data centers automatically downgrading and rerouting models.
1. The Physical Overlap of Global Time Zones and Concurrency Waves
From 9:00 p.m. to 2:00 a.m. Beijing time, which corresponds exactly to 9:00 a.m. to 2:00 p.m. U.S. Eastern Time.
This is the most intense absolute peak usage window of the day for global tech companies, university researchers, and commercial organizations.
2. The Trade-offs of Dynamic Routing
When a data center's GPU cluster load crosses the 90% warning threshold, the scheduling algorithm prioritizes compute supply for top-tier commercial APIs and high-weight enterprise users.
For ordinary individual accounts accessed through proxy networks, the system automatically sets its risk-control tolerance threshold to the strictest level and, on a large scale, downgrades suspicious connections to lightweight clusters, restoring them only after compute load falls when Europe and the US get off work in the early morning.