AI-driven data centers are pushing traditional power architectures to their limits, creating challenges around efficiency, power density, reliability, and grid capacity. In this webinar, attendees will learn how emerging 800 V DC architectures and solid-state transformers (SSTs) can reduce conversion losses, simplify power distribution, and enable scalable AI infrastructure, while leveraging silicon carbide (SiC) technology to improve performance and lower total system costs.
Overview
Artificial intelligence is driving an unprecedented increase in data center power demand, forcing operators, utilities, and equipment designers to rethink traditional power distribution architectures. As AI clusters grow in size and density, legacy AC-based systems face increasing challenges related to efficiency losses, power density, cooling requirements, floor space constraints, and grid capacity. At the same time, the industry is evaluating new approaches that can deliver more power with greater reliability while reducing the number of conversion stages between the utility grid and the processor.
This webinar explores how solid-state transformers (SSTs), 800 V DC power distribution, and silicon carbide (SiC) technologies are enabling the next generation of AI and hyperscale data center infrastructure. Attendees will gain insight into the industry transition from traditional AC architectures to higher-efficiency DC architectures, the benefits of reducing conversion losses, and the role of wide-bandgap semiconductors in improving power density, scalability, and system performance.
Participants will also learn the fundamentals of SST architectures, including medium-voltage to 800 V DC conversion, isolated DC-DC topologies, and practical implementation considerations. Whether you are designing power systems, planning future AI infrastructure investments, or evaluating next-generation data center architectures, this session will provide actionable insights into technologies that can help improve energy efficiency, reduce operational costs, and prepare for rapidly growing AI power requirements.
Key Takeaways
- Understand how AI-driven growth is fundamentally changing data center power requirements and creating new challenges in efficiency, reliability, and power density.
- Evaluate the benefits of transitioning from AC distribution to 800 V DC to reduce losses, lower infrastructure costs, and improve overall grid-to-chip efficiency.
- Discover how silicon carbide (SiC) technologies enable higher switching frequencies, smaller power conversion systems, and the performance needed for next-generation AI power infrastructure.
Speaker
Ehab Tarmoom is a technology leader at Microchip Technology with extensive experience in power electronics, high-voltage power conversion, and emerging energy infrastructure applications. He works closely with customers and industry partners developing next-generation solutions for data centers, industrial systems, and advanced power architectures.