DataBank Expands US Data Center Footprint, Adding Power and Space to Support Growing Demand

In an effort to meet the increasing demand for data center services, DataBank, a leading provider of colocation and managed services, has recently completed seven expansion projects across the United States. These strategic expansions have not only added significant power capacity, but also increased the available floor space, enabling DataBank to accommodate the growing needs of its customers without requiring costly relocations.

Expansion projects: Adding power and floor space

The completion of these seven expansion projects marks a significant milestone for DataBank. With the addition of over 15MW of power and 114,000 square feet (10,590 sqm) of raised floor space, DataBank can now provide its customers with state-of-the-art infrastructure to support their critical applications and workloads. By increasing power capacity and floor space, these expansions allow organizations to scale their compute resources without the inconvenience and disruption of moving to a new data center.

Benefits for organizations

For organizations planning to deploy or expand their operations within DataBank’s data centers, these expansions offer numerous advantages. The increased floor space allows for seamless growth, ensuring that organizations can scale up their infrastructure as their business demands evolve. By eliminating the need for costly relocations, organizations can focus on their core objectives and streamline their IT operations more efficiently.

Recent developments: EdgePresence and French data centers

In a recent strategic move, DataBank sold EdgePresence, a leading Edge data center firm, as well as five French data centers. This decision was part of Backer DigitalBridge’s recapitalization efforts, which included selling a stake in DataBank to investment firms Swiss Life Asset Management AG, EDF Invest, and IMCO. These developments have positioned DataBank for further growth and expansion, enabling the company to concentrate on its core business of providing robust and scalable data center solutions.

Funding and expansion program

To fuel its expansion program, DataBank issued $715 million of secured notes earlier this year, marking its third securitization offering since 2021. The proceeds from this offering have played a crucial role in funding DataBank’s recent expansion projects. With a sound financial foundation, DataBank is well positioned to continue its growth trajectory and meet the evolving needs of its customers.

Overview of DataBank’s data center portfolio

DataBank currently operates an impressive network of 74 data centers across the United States. With a combined raised floor space of 2.79 million square feet (259,471 sqm) and a power capacity of 378MW, DataBank offers extensive options for organizations seeking secure and reliable data center solutions. These expansions contribute to DataBank’s commitment to delivering high-performance infrastructure and supporting the increasing data storage and processing requirements of businesses across various industries.

DataBank’s completion of seven expansion projects, adding substantial power capacity and floor space, demonstrates the company’s dedication to meeting the evolving needs of customers in the data center market. The added capacity enables organizations to grow their computing resources seamlessly, eliminating the need for disruptive relocations. Furthermore, recent strategic moves and the allocation of funding have solidified DataBank’s position as a leading provider in the industry. With a comprehensive portfolio of data center services and a strong commitment to customer satisfaction, DataBank is well-equipped to support businesses’ data storage and processing demands and foster their continuous growth.

Explore more

AI and Generative AI Transform Global Corporate Banking

The high-stakes world of global corporate finance has finally severed its ties to the sluggish, paper-heavy traditions of the past, replacing the clatter of manual data entry with the silent, lightning-fast processing of neural networks. While the industry once viewed artificial intelligence as a speculative luxury confined to the periphery of experimental “innovation labs,” it has now matured into the

Is Auditability the New Standard for Agentic AI in Finance?

The days when a financial analyst could be mesmerized by a chatbot simply generating a coherent market summary have vanished, replaced by a rigorous demand for structural transparency. As financial institutions pivot from experimental generative models to autonomous agents capable of managing liquidity and executing trades, the “wow factor” has been eclipsed by the cold reality of production-grade requirements. In

How to Bridge the Execution Gap in Customer Experience

The modern enterprise often functions like a sophisticated supercomputer that possesses every piece of relevant information about a customer yet remains fundamentally incapable of addressing a simple inquiry without requiring the individual to repeat their identity multiple times across different departments. This jarring reality highlights a systemic failure known as the execution gap—a void where multi-million dollar investments in marketing

Trend Analysis: AI Driven DevSecOps Orchestration

The velocity of software production has reached a point where human intervention is no longer the primary driver of development, but rather the most significant bottleneck in the security lifecycle. As generative tools produce massive volumes of functional code in seconds, the traditional manual review process has effectively crumbled under the weight of machine-generated output. This shift has created a

Navigating Kubernetes Complexity With FinOps and DevOps Culture

The rapid transition from static virtual machine environments to the fluid, containerized architecture of Kubernetes has effectively rewritten the rules of modern infrastructure management. While this shift has empowered engineering teams to deploy at an unprecedented velocity, it has simultaneously introduced a layer of financial complexity that traditional billing models are ill-equipped to handle. As organizations navigate the current landscape,