$10 Million Questions:

Do You Have the Right AI Infrastructure?

By registering for this event, you agree to be contacted by the producers

February 26th

1 PM ET

Online Webinar

What You’ll Learn

  • The key questions every organization should ask when planning AI for production
  • How infrastructure requirements differ across training, inference, and experimentation
  • Practical approaches to testing, validating, and scaling AI workloads
  • How to identify bottlenecks that undermine performance and ROI
  • Why a smart infrastructure strategy is critical to scaling AI successfully

One infrastructure decision can define your AI future - make sure it’s the right one.

Eric Kavanagh

CEO

The Bloor Group

Denise Muyco

Founder/CEO

Ravel

Enterprise AI has moved from experimentation to a boardroom mandate. But for many organizations, the leap from pilots to production remains painfully difficult. The reason? Infrastructure decisions made too early - or without clarity - can drive up costs, strain power and compute resources, and lock teams into architectures that don’t scale.


Training isn’t inference.

Fine-tuning isn’t RAG.

And getting these distinctions wrong can cost millions.

Mark Madsen

Founder/CEO
Third Nature

Making Smart AI Infrastructure Decisions Before the Costs Spiral