Overview
Your agent plans with a reasoning model, calls tools, pulls context from a retrieval pipeline, and maybe reads a screenshot or a PDF along the way. That's not one model behind one endpoint. It's a system of models, and each one has its own needs for GPU memory, latency, throughput, and cost. How do you choose the right models, deploy them on Kubernetes, and get the infrastructure you need as your application grows?
Speakers
11Schedule
No schedule available for this event.