2026 Event Schedule

As hyperscalers and neo-cloud providers race to deploy compute infrastructure at unprecedented speeds, the bottleneck is shifting from chip availability to power delivery. Powering AI at scale requires a fundamental rethinking of data center infrastructure, from the grid connection all the way to the chip. This session explores how Solid-State Transformers (SSTs) are positioned to transform the landscape by enabling faster, more compact, efficient modular deployments.

SSTs address critical challenges such as grid constraints, power density, and the growing diversity of chip requirements. By consolidating multiple legacy components (e.g., traditional transformers, UPS systems, transfer switches) SSTs reduce complexity, shorten deployment timelines, and improve overall system efficiency. They also enable high-voltage DC distribution, support multi-port outputs for heterogeneous compute loads, and integrate seamlessly with on-site storage and generation assets like batteries and solar.

This session will highlight how SSTs support "Bring Your Own Power" (BYOP) strategies and align with prefabricated AI factory models to dramatically reduce time to usable compute. Attendees will gain insight into how software-defined power delivery with built-in redundancy can future-proof infrastructure while enhancing sustainability and grid resilience. Whether you're designing your next AI data center or rethinking your power architecture, this session will offer a compelling vision of what's possible when power becomes programmable.