From Experiment to Enterprise: Scaling AI Infrastructure with Digital Realty
Event Overview
Join us for an engaging conversation exploring how Digital Realty and World Wide Technology are helping enterprises accelerate AI adoption with confidence. Moderated by WWT’s Chris Campbell, this discussion brings together leaders from both organizations to unpack the evolving challenges of AI workload placement. Explore why traditional on‑premises environments often struggle to support modern AI demands and how high‑performance, liquid‑cooling‑ready colocation platforms provide a scalable and predictable alternative.
Featured Speakers
What to expect
- How WWT and Digital Realty help enterprises design, place and scale Al workloads by addressing real-world constraints such as power density, cooling, latency, data gravity and governance. Highlighting how these factors are reshaping Al infrastructure decisions as organizations move from prototype to production-grade inference at scale.
- An exploration of our strategic partnership in enabling enterprise-grade Al deployments, including how combining Digital Realty's global, liquid-cooling-ready data center platform with WWT's deep engineering expertise helps customers reduce risk, control costs and accelerate time to value.
- How lab-based testing and validation environments, including WWT's Advanced Technology Center allow organizations to test, validate and optimize Al architectures before committing capital-ensuring infrastructure decisions are informed, scalable and aligned to long-term enterprise outcomes.
Goals and Objectives
This session highlights the strategic collaboration between World Wide Technology and Digital Realty, showcasing how the two organizations help enterprises overcome the infrastructure challenges of running AI at scale. Attendees will gain a clear understanding of how evolving AI workloads—particularly the shift from training to inference—are driving new requirements around power density, cooling, latency, data gravity and governance.. As a foundational component of modern AI infrastructure, Digital Realty enables organizations to optimize AI workload placement while balancing performance, cost and compliance. Attendees will leave with practical insights into how combining Digital Realty’s platform with WWT’s engineering and validation expertise helps de‑risk AI deployments and accelerate the transition from proof‑of‑concept to production.
Who should attend?
Enterprise AI and IT leaders, CTOs and CIOs, Data Center and Cloud architects and professionals
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