Researchers are exploring whether tech giants can precompute certain data when the grid is humming with solar or wind power, then stash it away for later use.
because sunlight and wind aren’t always available. Navigating this intermittency, as it’s known among energy geeks, demands a fundamental rethink of how consumers use and even help store energy. One day electric vehicle drivers might, for instance, use their cars as aAnother option might be to use information as batteries—of a sort. A pair of researchers has proposed that companies precompute certain data when the grid is humming with solar or wind power, and then stash it away for later use.
This is a new idea, so it hasn’t been deployed in the real world, but it has plenty of potential use cases. Tech companies have to crunch all kinds of data: Google builds its search results, and YouTube converts videos into different qualities for you to choose from. Facebook has to recommend friends, and Amazon has to recommend products. Much of this processing work is done on demand.
For example, the moment you type a search into Google, the system has to process the request. Some of that work can’t be done in advance because your exact request is unpredictable. But the foundation of the search tool also relies on a lot of rote computation, unsexy work done in great big data centers that use lots of energy. Chunks of that sort of computation are done well before you hit “I’m Feeling Lucky.” Or consider the computational power needed to supply streaming videos.
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