AI capability is advancing faster than most organisations can plan around it, and the ground keeps shifting beneath them. Models available one week can be restricted by geography the next. GPU lead times are stretching from days into quarters. And the question of who actually controls your AI across infrastructure, models and data has moved from the server room to the boardroom.

This webinar examines how businesses can build continuity into their AI stacks. We begin with sovereignty: the dependencies hidden in your tech stack today, and what it takes to ensure that you and only you control your AI at every layer. From there we turn to capacity and availability: how to plan GPU provisioning when waitlists are growing, future demand is hard to predict, and you need to balance innovation with consistency. And we close on the open-weight versus closed-source debate: the real trade-offs in performance, cost, security and control, beyond the headlines.

Drawing on first-hand experience as an NVIDIA Cloud Partner building sovereign AI infrastructure across Europe, Hyperstack, powered by NexGen Cloud, will share insights on the market, how other AI leaders are balancing these trade-offs, and practical approaches that business and technical leaders can act on now.

What you'll learn

  • How to map and reduce the hidden dependencies in your AI stack and what true control looks like layer by layer
  • Practical GPU capacity planning when lead times and demand are unpredictable.
  • Open-weight versus closed-source models: weighing performance, cost, security and sovereignty for your business
  • What "business continuity" really means when the AI landscape can shift overnight
Tim Flagg

Tim Flagg

CEO, UKAI

Cory Hawkvelt

Cory Hawkvelt

Chief Product and Technology Officer, NexGen Cloud

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