Uplink
Europe Can't Find 5 Gigawatts. So It Gets Creative
Explore how power constraints, fragmented regulation, and limited grid capacity are reshaping Europe's AI infrastructure landscape.
Everyone is talking about multi-gigawatt AI data centers. Europe is solving a different challenge.
In this episode of Uplink, Michael Reid sits down with Ben Baldieri, Founder of The GPU, to explore how power constraints, fragmented regulation, and limited grid capacity are reshaping Europe’s AI infrastructure landscape.
Rather than relying solely on hyperscale campuses, Europe is increasingly investing in distributed GPU infrastructure, modular data centers, and inference capacity located closer to users. Ben explains why power has become the industry’s most valuable resource, how GPU cloud economics actually work, and why financing can determine whether AI infrastructure gets built at all.
The conversation also explores the industry’s transition from training-first AI infrastructure to inference-first deployments, the growing importance of liquid cooling and high-density racks, and how token-based pricing could fundamentally change the economics of AI.
Rather than relying solely on hyperscale campuses, Europe is increasingly investing in distributed GPU infrastructure, modular data centers, and inference capacity located closer to users. Ben explains why power has become the industry’s most valuable resource, how GPU cloud economics actually work, and why financing can determine whether AI infrastructure gets built at all.
The conversation also explores the industry’s transition from training-first AI infrastructure to inference-first deployments, the growing importance of liquid cooling and high-density racks, and how token-based pricing could fundamentally change the economics of AI.
In this episode, you'll hear:
- Why Europe can’t simply build multi-gigawatt AI campuses.
- How power availability is reshaping AI infrastructure investment.
- Why smaller data centers are becoming strategically important.
- The economics of GPU clouds, financing, and cost of capital.
- Why inference is driving the next wave of AI demand.
- Liquid cooling, high-density racks, and the next infrastructure bottlenecks.
- How token pricing could turn AI into a utility.
- The rise of specialised AI models across industries including genomics, cybersecurity, and physics.
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