DartPoints Maps Regional Strategy for Edge Computing Growth

July 29, 2020
With a new capital partner and CEO, DartPoints says it is ready to move ahead with a deployment of a regional network of edge colocation centers, and may also seek to grow through acquisitions.

DartPoints was one of the first service providers to target the market for edge computing. With a new capital partner and CEO, the company says it is ready to move ahead with its vision for a regional network of edge colocation centers.

Private equity firm Astra Capital Management recently acquired a majority interest in DartPoints, and says it will invest significant capital to create a network of regional edge infrastructure in the U.S.

“We’re going to have an aggressive deployment plan, and an aggressive acquisition plan,” said Scott Willis, the new President and CEO of DartPoints. “We’re looking for prospective targets that are good fit in our strategy.”

As a first step, DartPoints has expanded into Eastern Iowa, working with local telco South Slope Cooperative and IT service provider Aureon to deploy a carrier-neutral interconnection point in North Liberty, about 100 miles east of Des Moines. It is the first project outside Texas for DartPoints, which is based in Dallas.

There will be more to come. Astra has several investments in the IT and communications sector, and sees an opportunity in edge computing.

“They’re committed to investing in the (edge computing) space,” said Willis. “DartPoints is the initial platform, and we’re sharpening and clarifying our strategy. We’ve got a phased plan right now and a solid list of markets that are priorities.

“We’re looking for acquisition targets in these regional markets that will allow us to accelerate our strategy,” Willis continued. “We’re probably looking for smaller, pinpointed opportunities.”

Willis said DartPoints will focus on building its infrastructure in four regions of the U.S. – the Southwest, Southeast, Upper Midwest and Mid-Atlantic region. The company plans to steer clear of the Northeast and the West Coast. “Those are hyper-competitive markets,” he said. “The regions we’ve outlined represents about 30 of the 50 states.”

Building for the Present

DartPoints is among a number of providers targeting the edge computing sector as the emergence of the Internet of Things and AI reinforces the need for data centers in new places.

DartPoints began planning a distributed network of micro data centers in 2012, making it one of the early players in the edge computing sector. After slow growth in its early years, the company’s strategy has evolved amid growing interest in low-latency edge services.

Although next-generation technologies like autonomous cars may drive the future of edge computing, Willis said DartPoints is ready to build for use cases of the present.

“You’ve got to build a business around the needs of today, not driverless cars or the applications that aren’t here yet,” he said. “We are bringing what hyperscale and Tier 1 (data center) providers are doing today, and bringing that into the tier two and three markets. Our goal is to keep data local, so that you don’t have to backhaul.”

Willis sees a three- to four-year rollout for DartPoints’ initial round of edge facilities, and says the pandemic is a factor in demand for data center services. The newly-distributed workforce during the COVID-19 pandemic has accelerated the case for edge computing, which extends data processing and storage closer to the growing universe of devices and sensors at the edge of the network.

“The dynamics in the market have shifted a little bit, and I think we’ll see an acceleration of the move towards edge,” said Willis. “COVID is an element of that

Not Just Modular Anymore

After initially focusing on a repeatable modular design with a standard form factor, Willis emphasizes that DartPoints is branching out and will offer a range of options for customers.

“(Modular) is an element of our portfolio,” said Willis. “We are going to deploy the asset that best serves a market. It might be modular, or it might be buying a building, or we might lease office space and build a hybrid. We’re going to identify the best solution for each situation.”

“We are vendor agnostic,” said Loren Long, “The capacity, customer and purpose will all drive what we deploy. There is no cookie-cutter form factor. The repeatable part of our model is the customer service they can expect. It’s about the capability and the ecosystem we’re creating.”

That ecosystem will include cooling specialist TMGcore, which recently launched a data center enclosure that uses robots to swap high-density servers immersed in coolant fluid. It’s one of the most ambitious efforts yet to create a “lights out” autonomous data center.

“We have an ecosystem of partners, and are creating a marketplace,” said Willis. “TMGcore is one of them. You’re going to see some more announcements, come out shortly.”

About the Author

Rich Miller

I write about the places where the Internet lives, telling the story of data centers and the people who build them. I founded Data Center Knowledge, the data center industry's leading news site. Now I'm exploring the future of cloud computing at Data Center Frontier.

Sponsored Recommendations

Guide to Environmental Sustainability Metrics for Data Centers

Unlock the power of Environmental, Social, and Governance (ESG) reporting in the data center industry with our comprehensive guide, proposing 28 key metrics across five categories...

The AI Disruption: Challenges and Guidance for Data Center Design

From large training clusters to small edge inference servers, AI is becoming a larger percentage of data center workloads. Learn more.

A better approach to boost data center capacity – Supply capacity agreements

Explore a transformative approach to data center capacity planning with insights on supply capacity agreements, addressing the impact of COVID-19, the AI race, and the evolving...

How Modernizing Aging Data Center Infrastructure Improves Sustainability

Explore the path to improved sustainability in data centers by modernizing aging infrastructure, uncovering challenges, three effective approaches, and specific examples outlined...

iStock, courtesy of AFL

Hyperscale: The AI Tsunami

AFL's Alan Keizer and Keith Sullivan explore how AI is driving change and creating challenges for data centers.

White Papers

Get the Full Report
Get the Full Report
Get the Full Report
Get the Full Report
Get the Full Report

Using Simulation to Validate Cooling Design

April 21, 2022
Kao Data’s UK data center is designed to sustainably support high performance computing and intensive artificial intelligence. Future Facilities explores how CFD can validated...