Connect | London // Debate: Hybrid cloud in the AI era - Best practice or a model under pressure?

Register your interest
  • —
  • Gallery 3 | 2nd Level
  • Edge Infra & Inference
  • Cloud & Hybrid
  • Compute, Storage & Networking
  • Open Session

Speakers

Yitian Xu

Yitian Xu

Head of Solutions Alibaba Cloud UKI, Nordics & Cyprus Region, Alibaba Cloud

Uma Mudigonda

Uma Mudigonda

Vice President - Solutions, Kyndryl

John Bradshaw

John Bradshaw

Field CTO Cloud, EMEA, Akamai Technologies

Dan Swinhoe

Dan Swinhoe

Editor in Chief, DCD

Retika Gupta

Retika Gupta

Solutions Architect, Enterprise Rent-A-Car

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