Corporate Average Data Center Efficiency

Definition of Corporate Average Data Center Efficiency

Corporate Average Data Center Efficiency (CADE) is a metric used to evaluate the overall performance and efficiency of a data center. It combines two key indicators, the Power Usage Effectiveness (PUE) that measures the efficiency of energy usage, and the IT productivity, which is the effective output of a data center’s IT equipment. CADE provides a comprehensive perspective on a data center’s energy usage, allowing corporations to assess their efficiency and implement improvements.


The phonetic pronunciation of “Corporate Average Data Center Efficiency” is as follows:- Corporate: /ˈkɔr.pər.ət/- Average: /ˈæv.ər.ɪdʒ/- Data: /ˈdeɪ.tə/ or /ˈdæt.ə/- Center: /ˈsɛn.tər/- Efficiency: /ɪˈfɪʃ.ə them all together: /ˈkɔr.pər.ət ˈæv.ər.ɪdʒ ˈdeɪ.tə ˈsɛn.tər ɪˈfɪʃ.ə

Key Takeaways

  1. Corporate Average Data Center Efficiency (CADE) is a metric used to measure the overall efficiency and performance of data centers, by taking into account energy consumption and computing capacity.
  2. CADE is calculated by factoring in both Power Usage Effectiveness (PUE) and IT asset utilization, which helps organizations identify areas of improvement such as cooling, power, and equipment utilization in their data centers.
  3. By focusing on CADE, companies can optimize their data centers to improve efficiency, reduce costs, and minimize environmental impact, resulting in a more sustainable and cost-effective operation.

Importance of Corporate Average Data Center Efficiency

The technology term Corporate Average Data Center Efficiency (CADCE) is important because it highlights the collective energy efficiency of multiple data centers within a corporation.

By measuring CADCE, businesses can determine how efficiently their data centers are operating in terms of energy consumption, which can help identify areas requiring improvements or adjustments.

This results in not only cost savings through reduced energy bills but also minimizes the environmental impacts associated with high-energy demands.

Furthermore, an efficient CADCE contributes to a corporation’s sustainability goals and enhances its reputation as a responsible, eco-friendly organization.

Overall, CADCE plays a crucial role in promoting environmentally conscious practices within the technology industry, pushing organizations to reduce energy consumption and embrace greener practices.


Corporate Average Data Center Efficiency (CADE) is a performance metric devised to assess the energy efficiency of data centers on a broader scale, considering not just the technology used in the facility but also the management, operations, and overall infrastructure. The primary goal of the CADE metric is to enable organizations to minimize energy consumption, reduce the carbon footprint, and optimize resource utilization in data centers.

By calculating the CADE, companies can gain an in-depth understanding of their data center’s performance, allowing them to identify areas where improvements can be implemented, leading to significant cost savings and environmental benefits. CADE is measured by combining two fundamental components – the Power Usage Effectiveness (PUE), which evaluates the energy efficiency of the facility, and the IT Asset Utilization, which gauges the overall workload effectiveness of the servers and networking equipment.

A higher CADE percentage indicates better efficiency and better resource utilization. By measuring and tracking CADE, organizations can identify inefficiencies in their data center operations and make data-driven decisions to improve energy efficiency, increase asset utilization, and optimize cooling systems.

As a result, businesses that successfully apply the CADE metric are able to create more sustainable data center environments, which ultimately supports their social responsibility goals and contributes to a more eco-friendly computing landscape.

Examples of Corporate Average Data Center Efficiency

Corporate Average Data Center Efficiency (CADE) is a metric used to measure the energy efficiency of data centers. It combines the Power Usage Effectiveness (PUE) and IT Asset Utilization metrics to provide a comprehensive view of a data center’s efficiency. Here are three real-world examples that showcase how organizations have improved their CADE:Google Data Centers:Google has been an industry leader in improving data center efficiency with numerous technologies and practices. By using machine learning algorithms to optimize the cooling systems and AI-powered recommendations for infrastructure management, Google has been able to achieve an impressive PUE of

1 across its data centers, resulting in significant energy and cost savings.eBay’s Project Mercury:eBay launched Project Mercury in 2010 to maximize data center energy efficiency and improve CADE. They developed a customized, modular data center design that allowed them to rapidly scale IT resources and reduce energy consumption. By focusing on improving both PUE and IT Asset Utilization, eBay’s Project Mercury data centers achieved a CADE score of more than 80%, well above the industry average of 50%.

Microsoft’s Quincy Data Center:Microsoft has been focusing on data center efficiency at its Quincy Data Center in Washington. Their initiatives include using “free air” cooling, where cool external air is drawn into the data center for temperature control, and incorporating energy-saving technologies such as variable speed fans and improved airflow management. As a result, Microsoft has achieved a PUE of125 at the Quincy facility, improving their overall CADE performance.These real-world examples demonstrate the practical applications of CADE as a metric for improving overall data center efficiency. By using advanced technologies, innovative practices, and focusing on both PUE and IT asset utilization, companies are making significant progress in reducing energy consumption and cost in their data centers.

Corporate Average Data Center Efficiency FAQ

What is Corporate Average Data Center Efficiency?

Corporate Average Data Center Efficiency (CADE) is a metric used to measure the energy efficiency of a data center. It combines the power usage effectiveness (PUE) with IT energy efficiency and provides a comprehensive picture of the overall efficiency of the data center’s operations.

How is CADE calculated?

CADE is calculated by multiplying the inverse of PUE with the IT Energy Efficiency ratio. IT Energy Efficiency ratio is the proportion of useful IT processing work done per unit of energy consumed by data center facilities. In essence, the lower the CADE value, the better the data center’s energy efficiency.

What are the benefits of improving CADE?

By improving CADE, companies can reduce their energy consumption and lower their overall energy costs. This can lead to significant cost savings, as well as reducing the data center’s environmental impact and improving an organization’s sustainability profile.

How can organizations improve their data centers’ CADE?

Organizations can improve their CADE by investing in energy-efficient IT equipment, optimizing cooling systems, reducing physical infrastructure, and applying software-defined data center solutions. Regularly monitoring and evaluating CADE will help identify areas for improvement and keep the data center operations running efficiently.

What is the role of PUE in CADE?

Power Usage Effectiveness (PUE) is an essential component of CADE as it measures the ratio of the total amount of power consumed by the entire data center to the power consumed by IT equipment. PUE helps organizations understand the energy efficiency of their data centers and provides a benchmark to compare against industry standards and track improvements in energy efficiency.

Related Technology Terms

  • Data Center Infrastructure Efficiency (DCiE)
  • Power Usage Effectiveness (PUE)
  • Energy Efficient Data Centers (EEDC)
  • Green Data Center
  • Information Technology Equipment (ITE) Energy Efficiency

Sources for More Information


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