Sustainable AI @ Scale: Accelerating AI Models for Billions of Users

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AI is a foundational technology at Meta: we use AI to identify relevant and interesting content our users delight at interacting with, to translate content to transcend language barriers, and to keep our communities safe by identifying inappropriate content, such as bullying, domestic violence and terrorism in images, videos, and text. The need for ever higher quality models intersects with the imperative of keeping AI growth sustainable.  While academic research has emphasized an exponential resource growth of models to deliver quality, we must bend the curve to ensure sustainable growth and minimize environmental impact.   As we are looking for ever higher quality, larger scale models to deliver on our mission to connect users and build safe communities, AI accelerators provide the foundation for scaling up quality, while keeping power consumption manageable and sustainable, and delivering on our sustainability commitments. 



  Date and Time

  Location

  Hosts

  Registration



  • Date: 25 Jan 2022
  • Time: 06:00 PM to 07:30 PM
  • All times are (GMT-08:00) US/Pacific
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Meeting is Virtual.  Attendance is limited, so please register well in advance if you do not want to miss the chance to attend. 

Register at this link in advance to be provided with connection information: https://forms.gle/HRF7q6Vqce4S8NhT9

  • Menlo Park, California
  • United States

  • This meeting jointly organized with IEEE Industry Engagement, led by the IEEE Corporate Liasion Program of IEEE Santa Clara Valley (SCV) and the IEEE Computer Society -  SCV Chapter.

  • Co-sponsored by IEEE Computational Intelligence Society - San Diego Chapter


  Speakers

Michael Gschwind, FIEEE Michael Gschwind, FIEEE of Meta AI

Biography:

Michael Gschwind leads Accelerator Enablement at Meta AI where he is responsible for AI software development for accelerators and AI deployment at scale .  He has previously was previously VP and AI Chief Architect at Huawei and at IBM leading hardware and software development of AI and general-purpose systems.  Michael was chief architect of three supercomputers that were the fastest systems of their day, and for three game console chips (Playstation 3, Xbox 360, Wii).  He invented Cell, the first programmable accelerator, and led development of accelerator hardware and software. He is an IEEE Fellow, the author of over 100 technical papers and is one of the most prolific inventors in history with over 800 patents in the field.