Why Aligned Energy’s Build-to-Scale Solutions Satisfy the Need for Speed-to-Market and Dynamic Capacity Demands

Build-to-Scale Data Center

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Demand in North America and across the globe for compute, networking and storage capacity is surging at an unprecedentedly fast and furious rate. Compute loads are also becoming more dynamic as capacity demand varies widely from project-to-project, month-to-month, or even day-today. Download the new white paper that explores the today’s challenges to data center infrastructure and provisioning, and outlines Aligned Energy’s build-to-scale solutions for the data industry. 

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Demand in North America and across the globe for compute, networking and storage capacity is surging at an unprecedentedly fast and furious rate.

Moreover, in attempting to keep pace with business growth or expand into new markets, companies often find it difficult to accurately predict their future capacity and location requirements.

Another challenge these organizations face is that compute loads are becoming more dynamic as capacity demand varies from project-to-project, month-to-month, or even day-today.

Aligned Energy provides adaptable, efficient data centers composed of build-to-scale infrastructure to support various IT densities to meet customer demand. This build-to-scale deployment allows Aligned Energy to deliver scalable data center solutions efficiently and as needed, eliminating over-provisioning.

Aligned Energy’s build-to-scale infrastructure also leverages cooling technology that delivers exceptional efficiency — Delta Cube (Delta³). With the ability to integrate patented infrastructure technology into existing facilities or into the design of a new data center, Aligned Energy offers hyperscalers, cloud, SaaS, platform providers, as well as enterprises, a competitive advantage by improving efficiency at any load, in any geographical location.

This new white paper explores today’s challenges to data center infrastructure and provisioning, and outlines Aligned Energy’s build-to-scale solutions for the data industry.