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  • Report details
  • 25 Figures
  • 0 Tables
  • Executive Summary
    • Report Conclusions
  • Introduction
    • Research Objectives
  • Research Findings
    • AI and GenAI Deployments Are Directly Affecting Enterprise Networking
    • GenAI Workload Placement Is Diverse but Shifting Toward On-premises Deployments
    • Best Practices Are Still Emerging for Building, Monitoring, and Managing GenAI…
    • AI Deployments at the Edge Drive Network Expansion
    • Multi-sourcing Staff Is the Norm for Edge AI and GenAI Cluster Projects
  • Conclusion
  • Research Methodology
  • Respondent Demographics
Research Report: Architecting the Network for an AI-powered World
Research Report
Feb 17, 2025
by Jim Frey, Emily Marsh, Enterprise Strategy Group Research
Enterprise IT stands on the threshold of one of the greatest evolutionary changes in decades with the arrival and expansion of AI and its fast-growing variant, generative AI. These technologies hold the potential to revolutionize applications and services, taking the businesses they support to new levels of efficiency and profitability.

But to reach the AI promised land, many organizations must invest in significant new compute infrastructure and ensure their networks are ready to play their essential role in supporting AI initiatives. AI-driven network upgrades must deliver increased speed, high throughput, and low latency, both within GenAI computing clusters and across the entire enterprise so that AI inferencing can be distributed as far out to the edges as necessary.

To gain further insight into these trends, Enterprise Strategy Group surveyed 370 network professionals at organizations in North America (US and Canada), Western Europe, and the Asia Pacific involved with building and managing network technology and processes.
 
Page Count: 23
Table of Contents
  • Executive Summary
    • Report Conclusions
  • Introduction
    • Research Objectives
  • Research Findings
    • AI and GenAI Deployments Are Directly Affecting Enterprise Networking
    • GenAI Workload Placement Is Diverse but Shifting Toward On-premises Deployments
    • Best Practices Are Still Emerging for Building, Monitoring, and Managing GenAI Cluster Networks
    • AI Deployments at the Edge Drive Network Expansion
    • Multi-sourcing Staff Is the Norm for Edge AI and GenAI Cluster Projects
  • Conclusion
  • Research Methodology
  • Respondent Demographics
Categories
Jim Frey
Principal Analyst, Networking
Emily Marsh
Associate Research Director
Enterprise Strategy Group Research
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