Every time you load a webpage, stream a video, or ask an AI a question, servers around the world spring into action. Data centers hum with the sound of cooling fans, processors execute billions of calculations, and electricity flows through vast networks of cables spanning continents. In an age where digital services have become essential to daily life, web efficiency is no longer just a technical concern — it is an environmental imperative.

The emergence of artificial intelligence has dramatically amplified this challenge. Training a single large language model can consume as much energy as five cars over their entire lifetimes. Running AI inference at scale requires massive computational resources that operate continuously. Yet paradoxically, AI also offers unprecedented opportunities to.