AI Workload Strategies 2025

Global IT leaders’ Key Considerations for AI Workload Placement

Discover how organisations worldwide are implementing AI across multiple infrastructure venues in this S&P Global Market Intelligence Discovery report, commissioned by Telehouse.

AI’s impact on workload distribution
Artificial intelligence is reshaping enterprise IT, but how are businesses adapting their IT infrastructure to meet AI’s growing demands?

Key findings from the report include:

Workloads are widely distributed across venues, with 76% of AI workloads currently hosted in the cloud or in different types of data centres

Over half have experienced significant network issues, and 39% have had to halt AI projects altogether because of networking issues.

More than 90% of organizations view access to cloud on-ramps as critical or quite important to AI/ML architecture

Over 40% of industry verticals – including media and entertainment, telecoms, electricity and oil/gas, are adopting colocation to host their AI/ML workloads

AI Workload Strategies 2025

Stay in touch

Consent *

Premier data center services and connectivity

Connect with TELEHOUSE Thailand

If you’d like to learn more about how we can help your enterprise can benefit with our services, just get in touch.

What we do

Data Centers

Company

Home

Resource

Support

Contact

Policy

Human Rights Policy

Sustainability Management