Big Tech Firms, Enterprise End-Users & Telecom Providers – Your Guide to Advancing Edge Data Centers
If you're a Big Tech Firm, Enterprise End-User or Telecom Provider, you'll leave with...
a clearer understanding of where edge infrastructure delivers value, which workloads justify deployment, and how peers are supporting AI inference, low-latency services and data sovereignty requirements.
Why Advancing Edge Data Centers Forum is Unmissable for You
- Understand where AI inference and latency-sensitive applications are creating demand for distributed infrastructure.
- Benchmark how enterprises and telecom providers are evaluating edge deployment decisions.
- Explore real-world use cases driving investment beyond traditional hyperscale models.
- Assess the infrastructure, connectivity and power requirements needed to support future workloads.
- Connect with edge developers and deployment partners actively building next-generation low-latency infrastructure.
Priority Sessions & Content You Should Target
Panel: Understanding End-User Requirements to Deliver Low-Latency Infrastructure That Aligns with Real Customer Demand
Learn: How workload requirements shape infrastructure decisions and deployment priorities.
Apply: Reassess infrastructure requirements against future application demands.
Case Study: Understanding How Enterprises are Leveraging Edge Infrastructure to Support AI Inference & Data Sovereignty
Learn: Lessons learned from enterprise edge deployments supporting business-critical workloads.
Apply: Identify where edge could improve application performance and resilience.
Understanding Why Edge Matters Now to Capitalize on the Next Wave of AI Infrastructure
Learn: Why AI inference and localized processing are accelerating edge adoption.
Apply: Map future AI initiatives against latency and infrastructure requirements.
Audience Discussion: Securing Fiber Connectivity & Understanding Carrier Hotel Infrastructure
Learn: How connectivity decisions impact edge performance and deployment success.
Apply: Review network architecture planning for future edge requirements.
Audience Breakout: Comparing Edge vs. Hyperscale Infrastructure to Design Facilities That Meet Different Workload Requirements
Learn: When edge delivers greater value than centralized infrastructure models.
Apply: Build a framework for evaluating future deployment decisions.
Peer Benchmarking & Questions to Ask Onsite
Which workloads are driving your interest in edge infrastructure today?
How are you determining where edge capacity is required versus centralized cloud?
What latency thresholds justify edge deployment within your organization?
How are you planning for future AI inference growth?
What role does data sovereignty play in your infrastructure strategy?
What connectivity requirements are most important when evaluating edge locations?
How are you measuring success from edge deployments?
Which deployment partners have added the most value to your projects?
What Industry Leaders Are Saying
The pace of technological change continues to create new opportunities and challenges across our industry. I'm excited to exchange ideas, foster collaboration, and discover creative solutions that will help advance the future of edge computing and digital infrastructure
Colleen Connolly, Partner & Chief Executive Officer, Scherer Design Group
None of us can say exactly what the demand curve looks like in five years, only that it's steeper than anything we've built for before. Meeting it will take new thinking about where data centers go and how fast they get there.
Chris Richards, Electrical Engineering Manager, Armada
So...
Join the leaders determining where edge capacity is needed, what workloads justify deployment, and how distributed infrastructure will support the next wave of AI innovation.