Webinar: Power protection in the digital age - eFuse and hot-swap strategies for modern data center design

Save the date: March 24th - 2 sessions available

Session 1: March 24th, 2026, 9am (CET)

Session 2: March 24th, 2026, 6pm (CET)

This webinar provides an in-depth discussion about the challenges posed by data center and AI data center infrastructure to power system reliability and availability. It then explores innovative eFuse and hot swap protection technologies designed to address these challenges. The hot-swap controller and eFuse features ensuring reliable and efficient power delivery in data centers and AI applications are then highlighted. 

Agenda:

  • Purpose of protection ICs 
  • Infineon's hot-swap controller portfolio & key features
  • Infineon's eFuse portfolios & key features
  • Protection ICs collaterals and support

Speaker 

Tao Zhao
Tao Zhao
Tao Zhao
Tao Zhao

Principal Engineer

Tao has more than 23 years of experience in the power electronics field. He has been with Infineon Technologies for 14 years, and worked on different products integrated with gate driver, controller, current sensing, and so on for different power electronics and AI applications for best performance and efficiency. He also worked on go-to-market activities and customer support for these products.

Tao Zhao
Tao Zhao
Tao Zhao
Nitish Agarwal

Staff Engineer

Nitish boasts over 7 years of experience in the electrical engineering field, with a strong background in power electronics and electrical power systems. Currently working as a Staff Engineer at Infineon Technologies, he leverages his expertise in designing and developing innovative protection and monitoring solutions for AI and data center applications, helping customers optimize their systems for maximum efficiency and performance. 

Power protection in the digital age - eFuse and hot-swap strategies for modern data center design
March 24, 2026
09:00 ( CET )
We power AI webinars:

Check out the other sessions belonging to this series:

BBU for uninterrupted AI operations
Intro power system reliability modeling
Power Supply ICs for computing & networking
Powering AI - 48 V to core optimization
Optimizing AI Power Supply Units