Scaling laws push model capability forward. But whether that capability becomes reliable in production depends on how we handle Scaling Pain…

Scaling laws push model capability forward. But whether that capability becomes reliable in production depends on how we handle Scaling Pain. http://z.ai/blog/scaling-pain In our latest blog, we share how we debugged GLM-5 serving at scale: reproducing rare garbled outputs, repetition, and rare-character generation; tracing and eliminating KV Cache race conditions; fixing HiCache synchronization issues; and introducing LayerSplit for up to 132% throughput improvement. We hope these lessons help the community avoid similar pitfalls and build more robust inference infrastructure.

Source: Zhipu AI (X) | 2026-04-29