Building Sovereign AI Factories:
The Economics Behind the Infrastructure

Most organizations respond to rising AI costs by buying more GPUs. But adding compute doesn’t fix poor infrastructure economics — it just makes the inefficiency more expensive.

The operators getting AI infrastructure right aren’t the ones with the most GPUs — they’re the ones who’ve solved for utilization, cache reuse, and cost per served token.

Join WEKA and Kenvant CEO Ali Syed — for an operator’s-eye view of what it actually takes to run AI infrastructure productively at scale, and where the economics break down in practice.

In this webinar, you’ll learn:

• Why AI Factories are becoming strategic — and national — assets, and what that means for how infrastructure gets built, funded, and operated.
• Where GPU efficiency actually gets lost in production — idle time, repeated prefill, and poor cache/context reuse — and what leading operators do differently.
• The metrics replacing training-era benchmarks, including time-to-first-token, cache hit rate, token throughput, and cost per served token.
• How to scale from petabytes to exabytes without sacrificing performance, drawn from real lessons running infrastructure at operator scale.

Meet Our Speakers

Chris Ott

Director of Sales Engineering EMEA, WEKA

Ali Syed

CEO, Kenvant