Throughput Optimization
AssessTechniques
Methods for increasing the number of requests or tokens processed per unit of time.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6Hacker News·9/17/2026researchGLM’s custom AI inference infrastructure
The article describes how GLM built its own inference infrastructure to serve its models at scale, rather than relying entirely on external or off-the-shelf systems. It focuses on the engineering choices behind latency, throughput, and operational control for model serving. The piece is notable as an inside look at AI infrastructure design from a model provider.