Smartbird Secures Expedient Data Center Capacity for 2027 AI Deployments

Smartbird has signed a multi-year colocation agreement with Expedient, securing more than 3.7 megawatts of IT capacity at a U.S. data center for dedicated AI infrastructure deployments planned in the first half of 2027. The agreement gives the company a physical foundation for its enterprise AI service, following its recent technology partnerships with Supermicro and WEKA.

Announced November 12, the arrangement addresses a practical constraint in AI deployment: buying computing hardware does not secure a place capable of powering, cooling, and operating it. Smartbird says the Expedient facility can accommodate high-density systems, including liquid-cooled racks.

The capacity is intended to support opportunities in Smartbird’s active customer pipeline. The announcement does not identify the facility, disclose the agreement’s financial terms, or specify the accelerators that will be installed.

Why Data Center Capacity Matters for AI

A megawatt figure describes the electrical capacity available to IT equipment. It does not translate directly into a GPU count or a model’s inference throughput. Those depend on the servers selected, the supporting storage and network equipment, and how the workload uses them.

Cooling is equally consequential. Densely packed accelerators concentrate heat in a small footprint, making the facility’s ability to remove it part of the computing architecture. Liquid cooling transfers heat through a fluid circuit rather than relying entirely on air moving through servers. Supporting such racks expands the range of systems a facility can accommodate, although the announcement leaves Smartbird’s eventual configuration open.

“Access to power and AI-ready data center capacity is one of the most important requirements for delivering infrastructure at scale,” said Nadia Carlsten, Smartbird’s president and CEO.

For customers, the operational question is whether compute, power, cooling, and deployment schedules line up. Securing facility capacity removes one dependency from that process; hardware installation, integration, and commissioning still determine when a cluster can begin useful work.

How Smartbird’s Managed Infrastructure Model Works

On its website, Smartbird describes a service spanning infrastructure design, procurement, installation, testing, operations, and expansion. It starts with the customer’s workload and coordinates compute, storage, networking, power, and cooling around those requirements.

Once deployed, the service includes monitoring, maintenance, and performance optimization, with capacity increases and hardware upgrades handled as workloads evolve. The commercial proposition is to give enterprises dedicated infrastructure without requiring them to assemble and operate every layer themselves.

This matters for AI because bottlenecks move between layers. During training, accelerators need a steady supply of data and fast communication between participating systems. During inference, memory capacity, response latency, and the number of simultaneous requests affect how effectively hardware serves users. A cluster’s useful output depends on the system working together, not simply on its accelerator specification.

Smartbird’s previously announced Supermicro collaboration addresses computing platforms and rack-scale integration. Its WEKA partnership adds NeuralMesh data and memory infrastructure to its dedicated-cluster offering. The Expedient agreement addresses the facility layer beneath that technology stack.

What Expedient Brings to the Deployment

Expedient operates a network of U.S. data centers and provides cloud, colocation, and managed infrastructure services. Its colocation offering lets organizations host equipment in its facilities while drawing on power, connectivity, physical security, and on-site operational support.

The provider describes N+1 or 2N redundancy for data-center components. These approaches provide spare capacity or duplicated systems to maintain service when equipment is unavailable. It also offers private connectivity between its facilities and round-the-clock staffing.

That broader service portfolio explains Expedient’s role, but the announcement does not specify the exact redundancy design or network configuration for Smartbird’s installation. Nor does the agreement establish that Expedient’s separate AI software products will become part of Smartbird’s service.

From Partner Agreements to Running Clusters

The planned first-half 2027 deployments are the next milestone. Reserved IT capacity establishes where future systems can run; it is distinct from commissioned computing capacity already serving customers.

Smartbird’s approach brings together specialist providers for different parts of the infrastructure: computing systems, the data layer, and now facilities. Its own responsibility is to integrate and operate those elements around enterprise workloads. The significance of the Expedient agreement is therefore practical: it connects Smartbird’s managed AI proposition to the power and cooling needed to turn that proposition into running infrastructure.