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Let us know which data center you'd like to visit and how to reach you, and one of team members will be in touch shortly.
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In a New York Times article, Raul Martynek, CEO of DataBank, emphasized that AI workloads require significantly more power, with advanced chips demanding over 100 kilowatts per server rack. Nuclear energy is seen as a reliable, emissions-free solution to meet the growing energy demands.
In a recent Bloomberg article, DataBank announced a $2 billion investment led by AustralianSuper and backed by DigitalBridge to expand its US data centers. This investment will fund the development of three major facilities to meet the growing demand for AI-driven workloads.
DataBank has raised $2 billion in equity, including a $1.5 billion commitment from AustralianSuper, to fuel its data center expansion across the U.S. This strategic investment positions DataBank to meet the rising demand for AI and cloud computing services.
DataBank received $1.5 billion from AustralianSuper, plus $483 million from existing investors. The funds will expand data centers in New York, Denver, Minneapolis, and Salt Lake City, supporting AI and cloud growth. AustralianSuper now holds a significant minority stake.
DataBank secured over $4 billion in debt and equity this year to expand its network of 65+ data centers, supporting the growing demand for AI and cloud computing infrastructure.
In Data Center Knowledge, Jenny Gerson, Senior Director of Sustainability at DataBank, explains how data centers are advancing net-zero goals by 2030 through emission reductions, energy optimization, and adopting renewable technologies. Accountability and tracking are critical to achieving these sustainability targets.
In an IT Brew interview, DataBank’s Jenny Gerson explained how the company’s data centers stay prepared for natural disasters through strategic site selection and robust backup systems.
DataBank’s MSP3 data center now qualifies for Minnesota’s data center tax incentive program, giving DataBank clients a significant financial advantage.
Today, AI is revolutionizing data security, but it’s also introducing new risks. AI’s ability to automate sophisticated cyberattacks and exploit vulnerabilities is raising concerns for businesses worldwide. This blog explores the emerging threats posed by AI-driven cyberattacks and provides insights into how companies can protect themselves against these evolving threats.
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