Are You Making Good Use of Your Compute? Three Stages of vLLM Inference Cluster Optimization

On July 16, 2026, Li Mengxuan, Co-founder & CTO of Dynamia and HAMi author, shared a three-stage optimization path for vLLM inference clusters at vLLM Meetup: from a single-node process and a Kubernetes workload, to PD disaggregation, and finally combining HAMi GPU virtualization to squeeze every drop of idle compute out of the Decode stage.