A couple of weeks in the past, I returned to sunny Honolulu for TeleGeography’s annual telecom traits workshop at PTC.
As normal, Brianna Boudreau explored world pricing traits, and Jon Hjembo shared insights from the info heart world.
A bit uncommon was the title of my section: Mom Earth, Motherboard. This title was really impressed by an article written in 1996:
This clip explains the imaginative and prescient.
Working with this theme, I additionally used AI to create a picture for every part of my presentation:
World Local weather Change appears notably intimidating, so let’s leap there. (You’ll discover my slides from Cycles of Renewal and A Resilient System over right here.)
World Local weather Change
Evolution
How AI goes to affect worldwide networks is a sizzling, sizzling subject as of late.
And the reality is, nobody actually is aware of what AI will imply for long-haul networks. Nobody can inform you it’ll result in X p.c extra bandwidth development over X years—that’s unknown at this stage.
What we can do is focus on how AI works and what may affect the tempo of bandwidth development, equivalent to:
- Mannequin coaching areas
- Inference areas
- Distributed coaching and federated studying
- AI-based information compression and site visitors routing enhancements
- Spatial temporal load shifting
- Authorized points
To study extra in regards to the elements shaping long-haul demand from AI, obtain my full presentation.
