A number of weeks in the past, I returned to sunny Honolulu for TeleGeography’s annual telecom traits workshop at PTC.
As normal, Brianna Boudreau explored international pricing traits, and Jon Hjembo shared insights from the information middle world.
A bit uncommon was the title of my phase: Mom Earth, Motherboard. This title was really impressed by an article written in 1996:
This clip explains the imaginative and prescient.
Operating with this theme, I additionally used AI to create a picture for every part of my presentation:
World Local weather Change seems to be significantly intimidating, so let’s soar 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 matter lately.
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 % 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, reminiscent of:
- Mannequin coaching areas
- Inference areas
- Distributed coaching and federated studying
- AI-based information compression and visitors routing enhancements
- Spatial temporal load shifting
- Authorized points
To be taught extra concerning the components shaping long-haul demand from AI, obtain my full presentation.
