Schedulers follow the sun and wind — AI becomes a grid asset
Sponsored Session: Powering PyTorch: Decentralized Training for an Energy-Hungry Future - Greg Osuri (PyTorch)
“Because the fabric is location flexible, schedulers can follow the sun and the wind — route PyTorch jobs to green hotspots at 11:00 a.m., shift to night wind regions at 2 a.m. Treated as flexible demand, AI becomes a grid asset, not a burden, absorbing surplus and backing off during peaks. That’s how we scale sustainably.” — 00:17:00
Context: Energy-aware routing with grid carbon intensity in the scheduler cost function; captions render “grid asset” as “great asset.”