Unlocking the AI Factory at Scale 

New EMA Research Reveals the Critical Network Bottleneck Halting Enterprise AI Deployments

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The IP Connectivity Paradox: Unlocking the AI Factory at Scale

Executive Summary

Enterprises across the globe are accelerating investments in artificial intelligence, yet only 32.5% have successfully deployed AI factories at scale. According to new research from Enterprise Management Associates (EMA), the gap between AI ambition and reality is widening—not because of AI algorithms themselves, but because of the complexity, fragility, and manual nature of today’s IP-based network infrastructure.

The EMA study, spanning more than 200 IT and security leaders across North America and Europe, confirms that:

  • AI workloads are the leading driver for edge computing (49.2%).
  • Security (82.9%), flexibility (70.5%), and service velocity (53.9%) are top motivators for adopting edge AI.
  • Yet enterprises face significant barriers, including skills shortages (50.8%), deployment complexity (49.7%), and cost constraints (48.2%).

To bridge this gap, organizations require an automated, secure, and deterministic connectivity foundation capable of supporting thousands of distributed intelligent devices—from IoT sensors to advanced DPUs.

The white paper highlights how FusionLayer’s Xverse platform addresses this challenge by delivering:

  • Zero-touch onboarding for thousands of devices in minutes.
  • A unified network source of truth across hybrid deployments.
  • Automated, AI-driven network provisioning.
  • Cloud-native, hardware-agnostic orchestration.

The result: a scalable, secure, and automated IP foundation that transforms AI factory deployment from a months-long engineering effort into an end-to-end intelligent workflow.

Key Findings 

The AI Factory Deployment Gap

1. Top Edge Computing Use Cases

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2. The Scale Gap

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3. Top Barriers to Edge AI Adoption

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4. Preferred Deployment Models

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5. Why Network Automation Matters

  • Thousands of DPUs or devices per AI factory
  • Manual configuration takes weeks and introduces risk
  • Zero-touch provisioning reduces deployment time to minutes

6. FusionLayer’s Xverse Advantage

  • Secure Zero Provisioning
  • Unified Network Source of Truth
  • AI-generated service deployment
  • Compliance-ready, hardware-agnostic orchestration

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