Today, the home of all modern platforms and technologies is the data center, so the right model can mean everything for your business. Many organizations are working much more closely with their data center design partners to ensure that agility, scalability, and efficiency are all built in.
In this case study from CPI we look at Telefônica Vivo, the largest integrated telecom in South America, providing services to more than 100 million clients, or half of Brazil’s population. Vivo has seven data centers across the country. In an effort to consolidate and optimize them, the company wanted to build a new facility that would be robust enough to support its prepay and contract mobile segment for the next 10 years and beyond.
What was their challenge? To support all these systems, the company needed an environment that was not only reliable, but completely energy efficient.
Victor Bañuelos, CPI’s technical manager for Latin America and an expert in aisle containment, provided Vivo with custom computational fluid dynamics (CFD) models and calculations to prove savings and return on investment. CPI also provided the company with engineering models in AutoCAD Shapes and building information modeling (BIM) drawings of what the cabinet would look like.
During the selection phase, a competitor sent its cabinets for demonstration and testing. The cabinets were 600 mm wide x 1,000 mm deep, 42U high. CPI’s sample cabinet was 800 mm wide x 1,200 mm deep, 48U high with a Vertical Exhaust Duct.
Vivo initially had plans to use a Hot Aisle Containment (HAC) Solution but in the end, it decided on CPI’s GF-Series GlobalFrame Cabinet System with Vertical Exhaust Ducts, which were custom made to have 9-foot (2.7 meter) ducts to fit the space. CPI’s GlobalFrame cabinet supports high-density applications using CPI Passive Cooling Solutions, which isolate, redirect and recycle hot exhaust air, all while reducing operating costs. The cabinet is available in 30 popular frame sizes.
Download this case study today to learn more about the efficiency and scale results that Vivo was able to experience by deploying a dynamic server cabinet system. Furthermore, learn about the Power Usage Effectiveness (PUE) reading, which is currently even better than what was previously expected.