Scaling AI with Chiplet-Based Systems

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Technical Seminar by IEEE Solid-State Circuits Society Distinguished Lecturer, Dr. Tony Chan Carusone, with the following abstract:

In the rapidly evolving landscape of artificial intelligence, chiplets are emerging as a transformative technology, paving the way for the next generation of AI systems. Chiplets permit the integration of more processing power within a single package, and allow for new connectivity solutions so that thousands of AI accelerators can work as a cohesive unit. Optical connectivity, facilitated by chiplets, offers high-speed data transmission with lower power consumption, crucial for handling the massive data loads in AI applications. The emerging chiplet ecosystem, underwritten by high-performance die-to-die interfaces, is throwing open the doors of innovation and facilitating the next wave of AI scaling.



  Date and Time

  Location

  Hosts

  Registration



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  • 2356 Main Mall
  • Vancouver, British Columbia
  • Canada V6T 1Z4
  • Building: Macleod Building
  • Room Number: 3038
  • Click here for Map

  • Contact Event Host
  • sudip@ece.ubc.ca

  • Starts 04 November 2025 08:00 AM UTC
  • Ends 26 November 2025 06:00 PM UTC
  • No Admission Charge


  Speakers

Tony Chan Carusone of Alphawave Semi and University of Toronto

Topic:

Scaling AI with Chiplet-Based Systems

Abstract: In the rapidly evolving landscape of artificial intelligence, chiplets are emerging as a transformative technology, paving the way for the next generation of AI systems. Chiplets permit the integration of more processing power within a single package, and allow for new connectivity solutions so that thousands of AI accelerators can work as a cohesive unit. Optical connectivity, facilitated by chiplets, offers high-speed data transmission with lower power consumption, crucial for handling the massive data loads in AI applications. The emerging chiplet ecosystem, underwritten by high-performance die-to-die interfaces, is throwing open the doors of innovation and facilitating the next wave of AI scaling.

Biography:

Dr. Tony Chan Carusone has taught and researched integrated circuits and systems for high-speed connectivity in industry and academia for over 20 years. He has been the Chief Technology Officer of Alphawave Semi since 2022 and a faculty member at the University of Toronto since completing his Ph.D. there in 2002.  He has well over 100 publications, including 11 award-winning best papers at leading conferences for work on chip-to-chip and optical communication, analog-to-digital conversion, and precise clock generation.  He also co-authored the latest editions of the classic textbooks “Analog Integrated Circuit Design” and “Microelectronic Circuits,” the best-selling engineering textbook ever. Tony has been a consultant to the semiconductor industry for over 20 years, working with both startups and some of the largest technology companies in the world.  He is a Fellow of the IEEE.

Address:Toronto, Ontario, Canada