Most teams building agents on AWS assume GPU is where the compute goes. It's usually not. 

In this session, Dr. Ryan Ries and Marty Neuhard trace a real agentic AI request on AWS from start to finish and show where the compute actually lands. You'll walk away with a clearer picture of how to architect agents, size infrastructure for them, and budget for them going forward. 

What you'll learn: 

Where your AI agents spend their compute 
The real breakdown of CPU vs. GPU work across an agentic AI system, and why it's not what most teams assume. 

How to size compute correctly for agentic AI on AWS 
A practical way to evaluate what each step of your workflow actually needs, instead of defaulting to GPU across the board. 

What this means for your AWS costs 
Where teams typically overprovision, and what to check before your next GPU spend decision. 

Sign up today to secure your spot!