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Data centers are the home base for the technologies you love. In addition to bringing our technologies to life, Meta data centers support jobs, support investments in renewable energy, and help schools and local communities thrive. Learn more.
- Global data centers (Asia, Europe, U.S.)
Our data centers are part of Meta’s global infrastructure...
- European data centres
Meta’s European data centre fleet We’re committed to playing...
- Economic
Quantifying our economic impact Meta is committed to playing...
- Community
Henrico Data Center. In February 2024, Meta awarded the...
- Sustainability
We approach sustainability from the ground up We focus on...
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- Global data centers (Asia, Europe, U.S.)
Meta Data Centers form a crucial part of Meta's (formerly Facebook) global technological infrastructure. These centers are responsible for powering the wide array of services offered by Meta, ensuring seamless connectivity for its users worldwide.
21 cze 2024 · Explore Meta Platforms' global data center network powering Facebook and Instagram, including its key locations, infrastructure, and technology.
Our data centers are part of Meta’s global infrastructure that brings our technologies and services to life. Meta is proud that our data centers are among the most efficient in the world. Learn more about the places and partners that help make our connections possible.
19 sie 2021 · At Facebook, we define our data centers to be water efficient and they use 80 percent less water than a typical data center. Facebook data centers also use an estimated 32 percent less electricity than an average data center. And we are proud that the Eagle Mountain Data Center is supported by 100 percent renewable energy.
21 sty 2020 · Efficiency and renewable energy are Facebook’s first line of defense to help curb our carbon emissions and fight climate change, especially when it comes to our data centers. As early as 2011, Facebook was one of the first big tech companies to make a commitment to 100 percent renewable energy.
9 gru 2020 · Machine learning and automated root cause analysis play an important role in how we quickly identify and repair hardware issues in our data centers.
