Connect | London // Debate: Hybrid cloud in the AI era - Best practice or a model under pressure?
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- Edge Infra & Inference
- Cloud & Hybrid
- Compute, Storage & Networking
- Open Session
Speakers
Yitian Xu
Head of Solutions Alibaba Cloud UKI, Nordics & Cyprus Region, Alibaba Cloud
Retika Gupta
Solutions Architect, Enterprise Rent-A-Car
John Bradshaw
Field CTO Cloud, EMEA, Akamai Technologies
Uma Mudigonda
Vice President - Solutions, Kyndryl
Dan Swinhoe
Editor in Chief, DCD
Europe’s workload landscape is shaped by sovereignty rules, national cloud frameworks, energy constraints, and regulation. Hybrid is now the dominant operating model, but AI is forcing a rethink. Training demands scale, inference demands proximity, regulators demand localization, and enterprises must balance cost, risk, and performance. The real question is how hybrid evolves as workloads rise, specialized clouds emerge, and the cost of on‑prem investment becomes harder to justify in a volatile market.
This session will explore:
- Best‑practice hybrid architecture for training, inference, and scale
- How enterprises can balance cost, performance, and localization for AI workloads
- The risk profile of on‑prem workload investment in a volatile market
- Whether hybrid will strengthen or strain under AI‑era demands