Global Webinar
AI Workload Strategies 2025
Watch now to explore the key infrastructure decisions shaping AI success in 2025 and beyond
Part 1 – Navigating the challenges and opportunities of AI workload deployment
About:
- How AI projects are split across public cloud, on-premise data centres, third-party colocations and specialist GPU clouds
- Why more than 90% of respondents view direct, high‑bandwidth cloud on‑ramps as essential for AI/ML architecture
- The role of skills, network/fibre connectivity and GPU-based infrastructure availability in venue selection.
Speaker:
Milad Abdelmessih
Vice President, Telehouse America
Part 2 – Panel discussion: Seeking out data centre services to fuel the AI journey
About:
- Advice on selecting the right colocation partner to support AI/ML demands
- Views from industry leaders in North America, Europe and Asia on the role of infrastructure in accelerating AI adoption strategies for tackling latency, bandwidth and proximity issues
- Key questions to ask when short‑listing colocation partners for AI workloads.
Speakers:
Andrew Fenton
VP, Sales and Marketing
Telehouse Canada
Telehouse Canada
Ken Miyashita
Managing Director
Telehouse Thailand
Telehouse Thailand
Sami Slim
CEO
Telehouse France
Telehouse France
Download the full AI Workload Strategies 2025 Report
Interested in understanding AI’s impact on infrastructure planning and data movement? This detailed report covers the key considerations for infrastructure planning and data movement from model retraining frequency to networking bottlenecks. Gain insights on how organisations are balancing performance, cost, and compliance as AI workloads mature.