Understanding Hyperscale Data Centers


Hyperscale data centers are large, mission-critical facilities designed to efficiently support robust and scalable applications, often with big data generation from Google, Amazon, Facebook, IBM, Microsoft, and more. Associated with the company. 

But what's the difference between a hyperscale data center and a regular data center? 

In short, a data center is a dedicated room or building that houses your organization's IT equipment and servers. Companies can use data center resources to run their businesses and expose those resources  to the public as a service. The enterprise and hyperscale data centers can be compared based on size and performance. 

Hyperscale data centers are significantly larger than enterprise data centers and significantly outperform them due to economies of scale and the benefits of custom engineering. By no means an official definition, a hyperscale data center should have more than 5,000 servers and 10,000 square feet. What makes hyperscale data centers even more distinctive is the amount of data, computing, and storage services they process. According to the survey, 93% of hyperscale companies expect network connectivity of 40 gigabytes / second (Gbps) or higher. In the same survey, 51% of respondents say that the bandwidth required to manage large amounts of data is becoming increasingly difficult. When comparing PUE (Efficiency) metrics (although comparing PUEs between data centers is not always easy), most enterprise data centers typically use an average data center PUE value between 1.671.8. I will report. However, the Google Hyperscale data center reports a PUE of 1.1, with a PUE of 1.0 representing full efficiency. From a performance standpoint, the comparison is very similar to a full size sedan and a zero emission vehicle. 

Hyperscale is also a term that embodies the ability of computer systems to scale orders of magnitude to meet huge demands. As a result, hyperscale data centers are extremely agile and can scale up, scale down, scale out, and handle any load they provide. This can mean adding computing power, adding machines, or scaling out to the edge of the network. 

Basically, hyperscale data centers "competition with specific approaches to building and managing infrastructure, not just scale. Focus on hardware simplification, maximum disassembly,  Mixed and customized components, modularity, automation, and other principles.

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