Sovereign AI & Open Models: Choosing the Right Stack for Every Workload

Join techUK and Hyperstack on Tuesday 24 November, 11:00 – 12:00, for a webinar on keeping control of your AI stack.

Most production AI features start as an API call to a closed model hosted in a jurisdiction the organisation didn't choose. Over time, that shortcut becomes part of the architecture. With regulatory duties now reaching the deployer, and open-weight models close to closed frontier quality on most enterprise tasks, keeping control of your AI stack no longer means accepting a capability penalty.

This webinar covers control as four layers, and why an EU region is not the same as EU jurisdiction. It then looks at openness as a spectrum, from closed APIs to fully open models, and why most organisations need all three tiers. It closes on why rent-versus-own is a utilisation question, not a price-per-token one.

Presented by Olly Brooks, Technical Account Manager at Hyperstack, the session draws on real deployment conversations. Hyperstack, powered by NexGen Cloud, runs European-owned GPU infrastructure, from Secure Private Cloud to On-Demand GPU VMs, alongside its own inference APIs.

What you'll learn

• How to test control at each of the four layers, and why “hosted in the EU” answers only one of them

• The difference between open source and open weights: open weights give you control, full openness gives you proof

• Why most organisations need closed, open-weight and fully open models side by side

• What a controlled inference stack looks like, from GPU and fabric to application layer

• When to rent and when to own: own what is predictable, rent what is not

• Seven checks that separate a deployment you control from one that only claims it