What Breaks First When Your AI App Reaches 1,000 Real Users?
中文摘要
当AI应用规模扩大时，瓶颈通常不在模型本身，而在延迟、重试、队列等围绕模型的架构问题。
English Summary
When scaling AI apps, the bottleneck is usually the surrounding infrastructure—like latency, retries, and queues—rather than the model itself.
原文节选
It is usually not the model. It is the happy-path harness around the model: latency, retries, queues, stale retrieval, and the total lack… Continue reading on Towards AI »