Elea Data Centers Unveils Rio AI City with 3.2 GW Renewable Energy Capacity

Elea Data Centers Unveils Rio AI City with 3.2 GW Renewable Energy Capacity

Elea Data Centers has announced the Rio AI City project in Rio de Janeiro, featuring a data center ecosystem with up to 3.2 GW of renewable energy capacity to support AI growth.

Elea Data Centers has announced the launch of Rio AI City, a landmark data center project in Rio de Janeiro, Brazil, with a capacity of up to 3.2 GW of renewable energy. In a press release, Elea detailed that the project will initially provide 1.5 GW of energy, with the first phase expected to be operational by 2026.

Located in the Olympic Park region, Rio AI City will be powered entirely by certified renewable energy and will feature waterless cooling systems. The project is part of a broader urban revitalization effort, integrating with the Mata Maravilha project to create a multifunctional urban ecosystem.

The initiative is supported by the Rio de Janeiro City Hall and aims to position the city as a global technology hub. It is expected to generate over 10,000 high-skilled jobs and attract significant investment, reinforcing Rio's role in the digital economy.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like Silicon Brief.

Also, consider following us on social media:

AI Chips & Datacenters
AI Brief (X)

More from: Chips & Data Centers

Subscribe to Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Sponsored

AI Token Webinar

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more

You May Also Like