Advantages of a Hyperscale Data Center

By CIOReview | Thursday, April 25, 2019

A data center is the backbone of a business. It ensures that all the data is readily available whenever the company requires it. A standard data center supports hundreds of physical servers and thousands of virtual machines. The data center also substantially minimizes a company’s dependency on hardware, which allows for a more balanced investment in scalability.

A hyperscale data center can accommodate thousands of servers and millions of virtual machines. These data centers act as delivery mechanisms for cloud-powered processes and applications. Hyperscale data centers offer enormous scalability allowing organizations to take control of all aspects of their production. Here are a few benefits of hyperscale data centers:

Maximize Cooling Efficiency:

Data centers have to shell out vast chunks of their operational expense on powering the climate control systems. A hyperscale data center compartmentalizes high-intensity computing workloads, which allows them to concentrate cooling power on the servers that are hosting the workloads. It also optimizes the air flow throughout the infrastructure to ensure that hot air flows in one direction.

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Allocate electrical power in discrete packages:

Every block in a data center is allocated with a set number of kilowatts from the main power supply. The data center allocates space in terms of kilowatts, ensuring sufficient power whenever a customer requires it.

Electricity availability:

A typical data center is generally equipped with a superfluous power source which is usually backed by a secondary power source. A hyperscale data center uses workload management systems that allow it to replicate workloads across servers. This helps to eliminate electrical redundancy, reducing electrical costs for the data center.

Balances Workloads across Servers:

An overheated server in a data center can affect other servers and network gears in its proximity. Hyperscale data centers efficiently monitor workloads and processor utilization, and distribute high-intensity workloads among those processors that are best suited to handle the functions. The distribution of workloads also helps to reduce the temperature in the data center.

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