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 an entrepreneurial technologist with invested experience and success with transformation across cloud, devops, and automation. He is currently directing World Wide Technology, Inc’s solution strategy efforts for multicloud and data center.
Since 2001, Jason has been involved in the foundation and evolution of datacenter architectural practices focused on cloud service strategy and automated delivery. Jason has a proven track record for tackling the persistent and fundamental challenge of managing change around cloud and automation technologies on both technological and corporate levels.
Jason’s teams are focused on diversity of perspective and thinking to allow for greater innovation, which also allows adapting quickly to a fast paced marketplace.
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.
