Insider Session

Open source vs frontier

Sovereign AI and the agentic spend dilemma

Register now

Oct 30th | 1pm ET | Duration: 45 min

Most AI teams face a similar choice: frontier APIs or open source you run yourself. As sovereign AI requirements restrict data flow and agentic workflows drive up costs, a one-size-fits-all model policy no longer works.

We'll show how leading teams route agentic calls between external and self-hosted models, ensure data residency compliance, and use a gateway to see what every call actually costs.

What you will learn

Match models to specific use cases, instead of relying on one blanket policy
Navigate sovereign AI regulations and use self-hosted models when external APIs are disqualified.
How agentic workloads change your spend profile versus single-prompt calls.
Centralize your model access using a gateway to enforce budgets, apply guardrails, and track usage across all your AI projects
How to use Cline, an open-source tool, to transfer skills and .md files easily

Can’t make it live? Register anyway, and we will send you the recording.

Featured Speaker

Andrea Lowe

Product Marketing Director, Data Science/AI/ML

Andrea Lowe, PhD is the Product Marketing Director for Data Science, AI, and ML at Domino Data Lab, where she drives go-to-market strategy and technical content for the platform. Over seven years at Domino, she has worked across training, sales engineering, product, and customer success, building a deep understanding of what it actually takes to deploy AI in regulated industries. Before entering tech, she was a neuroscientist turned data scientist.