io.net(@ionet):3x throughput in two weeks. Great systems engineering by @Zai_org. And also a reminder that dense feedback loops need dense compute access. Local tests, traces, microbenchmarks, and end-to-end runs take a lot of iteration. That's why open models and open compute go hand in hand.

2026.09.17 13:12

3x throughput in two weeks. Great systems engineering by @Zai_org. And also a reminder that dense feedback loops need dense compute access. Local tests, traces, microbenchmarks, and end-to-end runs take a lot of iteration. That's why open models and open compute go hand in hand.

Z.ai@Zai_org

2026.09.17 07:05

We’re sharing how GLM-5.3 helped build and optimize the inference infrastructure serving GLM-5.3-Flash. The system went from its first successful run to production readiness in less than two weeks, with end-to-end throughput tripling relative to the initial baseline. The key was dense feedback: local correctness tests, execution traces, microbenchmarks, and end-to-end measurements that enabled targeted hypothesis testing rather than reliance on aggregate performance metrics alone.