Where to Run AI: What Factors to Consider – Presented by World Wide Technology
As AI adoption accelerates, enterprises face critical decisions on where to deploy and scale their AI workloads. Should you run AI in the public cloud, within private data centers, through GPU-as-a-Service (GPU-aaS) providers, in colocation (Colo) facilities—or adopt a hybrid strategy that leverages all of the above? The choice impacts performance, cost, security, and scalability, making it essential to evaluate deployment options strategically.
In this session, experts from World Wide Technology will break down the key factors influencing AI workload placement, including:
- Performance & Latency
- Cost Efficiency
- Security & Compliance
- Scalability & Flexibility
- Infrastructure Readiness
- Vendor & Ecosystem Considerations
Attendees will leave with a clear framework for making informed decisions on where to run AI, balancing cost, performance, security, and operational agility to maximize business outcomes. Whether you’re just starting with AI or looking to optimize existing deployments, this session will provide the insights needed to build a resilient and scalable AI infrastructure strategy.
Jason Campagna is a strategic technologist with a proven track record driving innovative go-to-market in cloud, automation, and now AI. He currently leads AI solution strategy at World Wide Technology, helping enterprises navigate the next wave of intelligent systems—from AI assistants to autonomous agents.
Since 2001, Jason has been at the forefront of virtualization, cloud, and automation related evolution, with deep experience in platform architecture, service delivery, and organizational transformation. His work consistently bridges the gap between disruptive technology and operational reality.
Jason champions teams built on diverse perspectives and rapid iteration—key ingredients for scaling meaningful innovation in today’s fast-changing landscape.
Derrick brings 25+ years of experience as a technologist and leader in AI, Data Center and Cloud architectures, Enterprise Networking, Mobility, and Collaboration. Derrick is a Principal Solutions Architect within Global Solutions and Architecture (GS&A) at WWT responsible for High Performance Architecture, AI, and Data Analytics. Most recently, Derrick’s accomplishments include developing new Data Strategy, AI, and High Performance Architecture (HPA) workshops and working with our ATC innovation team on building the new WWT AI Lab referred to as the AI Proving Ground.
