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"Powering AI Acceleration: Designing High-Efficiency, High-Density Architectures for Data Centers"

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AI-optimized data centers are pushing the limits of power density, thermal performance, and energy efficiency—placing unprecedented demands on next-generation power conversion design. This session examines emerging architectural strategies that enable high-efficiency, high-power PSUs built for accelerated compute workloads, using a 12kW demonstrator as a practical case study. Rather than spotlighting a single design, we’ll explore the broader engineering principles that will shape the future of power delivery for AI infrastructure, including the role of wide-bandgap devices, thermal optimization, and system-level co-design.

You’ll learn about:

• How high-density power architectures can support rapidly evolving AI compute demands
• Engineering advantages of wide-bandgap devices—such as SiC Cascode JFETs—in PFC and LLC stages
• Using system-level simulation to model performance under real-world AI workloads
• Best practices for evaluation platforms that accelerate prototyping, testing, and deployment

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