Sentinel-2 captures new data centers in Iceland

In a remote sensing study published in Nature, the authors claimed that they used « 101 CPU-core years of computation (..) within the Google data centres ». This made me wonder what could be the carbon footprint of such a study?. I estimated that it should be 65 tonnes of carbon dioxide, but a Google engineer replied:

Google purchases enough renewable energy to offset 100% of its energy use for its offices and data centers.

In just a few years, the company has made an impressive move to renewables, true to its famous motto « don’t be evil ». Google is the largest corporate purchaser of renewable energy on the planet. However, it’s better to save energy than to buy renewable energy, as explained by Forbes:

It is true that Google is buying all its electricity from renewable sources, but it is unlikely that all the electricity it is using comes from renewable sources. This is because solar and wind, Google’s choices for renewable sources, are both variable, while Google’s electricity demand is not. In other words, there are times and locations when Google must use electricity that comes from traditional sources, while simultaneously the electricity generated from the renewable projects funded via Google’s PPAs is curtailed and lost.

To save energy (and cost), large tech companies are moving data centers in Nordic countries like Iceland to take advantage of the « free air cooling ». Moreover in Iceland the electricity production relies primarily on hydropower and geothermal heat.

Sentinel-2 images of data centers in Reykjanesskagi, Iceland

This is how it looks inside these buildings:

However, even Icelandic data centers based on carbon-neutral energy can be problematic. We as scientist could also save energy by carefully evaluating the advantage of using computationally-intensive algorithms as done here by Jordi Inglada. For example, we could use the energy consumption of an algorithm as a weighting factor of standard performance metrics like the RMSE or the kappa coefficient. The implementation of the algorithm should also be considered as it can drastically change its energetic performance.

Plus d'actualités

IOTA2 software mailing list

Hello everyone, We have just created a mailing list for users of the IOTA2 software (iota2 — iota2 documentation). The tool will undergo significant developments in the coming months, and the purpose of this list is to communicate with the community to support these changes and to maintain the processing workflows needed by the users. […]

Rapid analysis of the GLOF in Gupis, Gilgit-Baltistan

Pakistan news media reported that a glacier lake outburst flood (the failure of a dam containing a glacial lake) occurred near Gupis, Gilgit-Baltistan, a highly mountainous region administered by Pakistan. Satellite images show that the flood triggered a debris flow, which reached the Gupis valley where it hit the Roshan (Rashon) village and blocked the […]

Dates de fauche en France

En 2024, des collègues du Cesbio ont publié un article* sur la cartographie de la date de fauche en France en 2022 à partir des données satellitaires Sentinel-2.   Leur magnifique figure 10 a attiré mon attention. La version à haute résolution fournie avec l’article (2861 × 2911 pixels) correspond à une image dont les pixels font […]

Rechercher