Today we continue our Data Center Executive Roundtable, a quarterly feature showcasing the insights of thought leaders on the state of the data center industry, and where it is headed. In today’s discussion, our panel of three experienced data center executives – Jakob Carnemark of Aligned Data Centers, Rob McClary of FORTRUST, and James Leach of RagingWire Data Centers – will examine trends in the business models for multi-tenant data centers. The conversation is moderated by Rich Miller, the founder and editor of Data Center Frontier.
Data Center Business Models: Wholesale Meets Colo
Data Center Frontier: Analysts say the boundaries between colocation and wholesale data center offerings are blurring. Is this trend real, and if so, is it likely to continue? How are customers choosing between the different data center procurement models?
Rob McClary: It’s very simple. Wholesale data center offerings is a real estate based “landlord to tenant” model. Colocation is a “service provider” model. The lines are blurred because one wants to be the other without having to completely adapt the other’s model. You have wholesale real estate offerings that don’t understand the service provider model and service provider offerings that don’t understand the real estate model. They are two different things.
Both service providers and wholesale providers want the better of the two worlds. The issue becomes more blurry, in large part, because the end-users and customers have an expectation for service provider models, but want the pricing of the other. This trend is real and it is likely to continue.
The problem is that the customer’s expectations are not aligned with the model they are seeking. It’s another educational issue.
James Leach: We are entering the era of “Big Colo” where both data center providers and buyers will be the winners.
For the data center provider, the primary drivers of Big Colo are economies of scale. For example, large generators and UPSs can support multiple megawatts of load and the incremental costs goes down as the capacity increases. From a financial perspective, the capital expenses required to build a data center are significant – often exceeding $100 million. Data center providers can spread these costs over time using phased build designs and long-term depreciation schedules. The result is Big Colo providers can offer a better product at a lower price.
For data center buyers, Big Colo can deliver scalable power from a few hundred kW to multi-megawatts, sophisticated configurations of dedicated and shared infrastructure, and flexible deployments from racks to cages to suites. Big Colo sites become a hub location for telecommunications and cloud providers offering customers an integrated platform for enterprise systems and internet apps. These Big Colo locations also become the job sites for a broad set of data center services providers delivering on-site moves, adds, changes, repairs and maintenance. The result is data center buyers can lease a portion of a superior facility, paying only for what they use and avoiding the large up-front capital expense to build the facility and operational expense to run the data center.
Jakob Carnemark: Customers are looking for flexibility and control. For too long they have been forced to take capacity according to an artificial, fixed-ramp schedule that resulted in them paying for more than they needed and used. This model is nearing the end of its useful life.
Customers have become accustomed to the cloud model of pay-for-use and are starting to demand a similar approach for their colocation requirements. In terms of retail and wholesale, we don’t believe in drawing boundaries. The customer’s needs are changing, IT hardware is evolving, and the cloud is offering them options they have never had before.
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Our data centers are engineered to accommodate any scale requirement. We believe in a utility model for compute infrastructure. Customers want this flexibility and control over how they consume capacity, and many times it does not fit neatly into a retail or wholesale definition.
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