Building AI infrastructure for what comes next
AI is pushing data center infrastructure beyond the assumptions, architectures, and delivery models that defined the cloud era. Meeting the demands of AI at scale requires a more coordinated approach to infrastructure design, construction, and deployment. We’re applying product thinking to the data center to make infrastructure more scalable, efficient, resilient, and predictable.
The future of AI won’t be defined by compute alone. It will be defined by our ability to deliver power, capacity, and infrastructure with greater certainty.
— Revathi Advaithi, CEO
Featured speakers
From Dirt to Tokens: Building AI Infrastructure as an Integrated System
Mon, Oct 12 | 1:15pm–1:35pm
SJCC — Lower Level — LL21DE
Chris Butler | President of Embedded and Critical Power
Rob Campbell | President of Communications, Enterprise and Cloud
What the Automotive Industry Can Teach Us About 800 VDC Data Centers
Wed, Oct 14 | 2:00pm–2:15pm
SJCC — Concourse Level — 210CG
Adam Morton | CTO, Data Centers
High-Speed Open Silicon Photonics Reference Designs
Wed, Oct 14 | 1:30pm–1:45pm
SJCC — Concourse Level — 210AE
Janos Veres | Sr. Director, Assembly & Test Technologies
Scaling Digital Infrastructure in Hardware Manufacturing
Thur, Oct 15 | 10:55am–11:15am
SJCC — Lower Level — LL21DE
Brandon Weilbacher | Sr. Director, Technology Strategy
The New Focus on Energy Storage
Thur, Oct 15 | 8:20am–8:35am
SJCC — Concourse Level — 210CG
Shrikanth Venkateshappa | Director of Accounts
The Compliance Gap: ESS Safety in the Age of AI Infrastructure
Thur, Oct 15 | 8:40am–9:05am
SJCC — Concourse Level — 210CG
Shrikanth Venkateshappa | Director of Accounts
Related resources
ARCHITECTURE
Rethinking 5 assumptions about data center power
AI is forcing a fundamental shift in grid-to-chip power distribution. Optimizing individual technologies is no longer enough; the infrastructure must perform as an integrated system. As rack densities race beyond 1 MW, long-held assumptions about voltage, cooling, construction, and supply chains are colliding with physical limitations. Here are five that deserve a closer look.
OUTLOOK
What’s really constraining AI infrastructure — and what to do about it
AI infrastructure is exposing constraints beyond GPU production. Energy availability, cooling resilience, inter-site connectivity, and permitting are defining where, when, and how fast new capacity comes online. As AI scales, overcoming these constraints will require infrastructure designed for greater integration, resilience and deployment certainty.