AI Workload Strategies 2025 Global IT Leaders' Key Considerations for AI Workload Placement

As enterprises adopt AI, they face complexity in deciding where and how to deploy workloads. Challenges like networking latency, GPU availability, data security, and geographic constraints are prompting IT leaders to rethink infrastructure strategies across cloud, on-premises, and colocation environments.

This study, based on responses from 900+ senior IT executives, examines how organizations manage AI workload placement. Key insights include:

• 55% report networking issues with AI
• Workload distribution trends by industry, size, and region
• Factors influencing venue selection, from cloud on-ramps to GPU access

Read the report to guide your strategy.