PRESENTATION

Navitas GaN and SiC Technologies to Enable Next-Gen AI Power Delivery

Traditional CPUs require typically only 300W and the data center ac/dc power supplies would typically power the equivalent of 10 of these or 3,000W (3kW). High-performance AI processors like NVIDIA’s ‘Grace Hopper’ H100 are already demanding 700W each today, with next-gen ‘Blackwell’ B100 & B200 chips anticipated to increase to 1,000W or more by next year. To meet this exponential power increase, Navitas AI power roadmap developed server power platforms which rapidly increase from 3kW to up to over 10kW, enabling up to 3x power increase to support similar exponential growth in AI power demands expected in just the next 12-18 months.

Llewellyn Vaughan-Edmunds

Navitas

Llew Vaughan-Edmunds is currently Senior Director, Product Management at Navitas. He has over 21 years of power semiconductor experience at Infineon, International Rectifier, ON Semiconductor, and Applied Materials. He has been responsible for strategy, engineering, and product line ownership for Gate Drivers, IGBTs, Diodes, and Wide Band Gap (SiC/GaN). He holds an MBA from Chapman University, BS in Applied Electronics from Liverpool University, and a patent in GaN device technology. He is currently Chairman for PowerAmerica and holds various board positions in power semiconductor companies and consortiums. Chairman, Vice Chairman, PowerAmerica, 2021-2023, 2023-2024 Board of Directors, Power Supply Manufacturers Association (PSMA) Advisory Board Member, Power Semiconductor Executive Summit (PSES) Advisory Board Member, Biophysical Economics Institute (BPEI)