Sustainability and AI: Trends in Green Computing and Efficiency: Revision history

From Wiki Spirit
Jump to navigationJump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

8 January 2026

  • curprev 01:0601:06, 8 January 2026Arthiwupab talk contribs 21,237 bytes +21,237 Created page with "<html><p> Generative models, recommendation engines, and predictive analytics have become staples of the modern technology stack. The upside is enormous, from drug discovery to logistics. The downside is material: energy consumption, hardware churn, and embodied carbon. Green computing is no longer a side quest for the ops team; it has turned into a design constraint from model selection to data center layout. The best teams now approach sustainability and AI as one prob..."