GPT‑Live replaces turn detection on the audio path with full-duplex streaming, then moves deeper reasoning and application work off that path to protect conversational responsiveness.
Why it matters: The design shows that responsive voice depends on more than model speed: media delivery, session state, delegation, startup, and production operations all need to avoid blocking the live path.
Three teams can have separate Kubernetes control planes while sharing one physical GPU: vCluster provides tenant control planes, and KAI Scheduler assigns GPU shares through team queues.
Why it matters: Teams can regain cluster autonomy without dedicating a physical GPU to each team. But this shared-nodes approach is intended for trusted internal teams; GPU memory isolation needs a separate mechanism, such as MIG on supported hardware.