/ About this event
As AI systems move from chatbots to agents, token consumption is becoming a real infrastructure and economic constraint.
Falling model prices don't necessarily mean falling AI bills. Longer contexts, reasoning models, tool use, retries and autonomous agents can dramatically increase the amount of inference behind every unit of useful work.
This closed-door roundtable brings together CTOs, Heads of AI, ML infrastructure leaders and technical founders to discuss the economics of running AI in production.
We’ll explore:
Where token spend is actually going in production systems Whether agentic workloads change the economics of AI deployment
Routing, caching, smaller models and deterministic execution
When repetitive model calls should become software Cost versus latency, quality and reliability
What the next generation of AI infrastructure needs to optimize for
No pitches and no generic AI panel. The goal is a candid conversation among people actually operating production workloads.
Attendance is limited to approximately 20 participants.
Hosted by Seldon AI (www.seldon-ai.com) during SF Tech Week.
This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
