How to solve the problem of Internet The server What about the rising energy demand in the data center? The modern Internet server data center consumes more energy than ever before. With genome research, cryptocurrency and high-density computing systems entering the data center, the kilowatt consumption of each machine will rise to two or even three digits. So how to solve the problem of rising energy demand of the Internet server data center? Focus today Large bandwidth server rental The hosted Micron Network will take you to have a look, hoping to help you.
Unfortunately, most data centers cannot improve energy efficiency. Suzanne, who is responsible for the modular data center of BaseLayer and the innovation and sustainable development strategy of DCIM supplier BaseLayer. As an industry veteran with more than ten years of experience, she pointed out that at present, 2% of the world's power networks have been used in computers, and will continue to grow in the next few years.
He explained to DCD that part of the problem lies in paying more attention to reliability and capacity: "Today, most data centers are inefficient because they were established some time ago." In order to ensure that the toaster will never go bad, she compared this situation to keeping two toasters on all the time. That's the price to pay for maintaining high reliability.
Nevertheless, the organization still recognizes the need to reduce the energy demand of data centers with low energy consumption and high capacity. Kass believes that clean energy and efficiency improvement are the main strategies to solve the problem of increasing energy consumption in data centers, reducing costs, and reducing the impact of these devices on the environment.
Kass pointed out that the use of zero emission clean energy is very important for the super data center. He also said that Microsoft is experimenting with rack type fuel cells as a way to improve the energy efficiency of the data center, because the energy consumption of equipment close to energy consumption can be minimized.
In addition, the emergence of intensive computing devices is not bad news. Kass said that the denseness of data centers helps to reduce the space occupied by modern data centers. The refrigeration space is small, and the demand of refrigeration equipment for energy is small.
Bloodsucking load and machine learning
In addition to the expensive transformation of existing facilities, Kass also provides a simple hint to organizations trying to improve the efficiency of data centers: get rid of vampires or virtual loads by searching for and making devices or servers that currently do not serve the needs of activities.
No matter what age people in the data center are, artificial intelligence (AI) and machine learning (ML) in the data center will change the face of energy use. Using ML and related algorithms will provide organizations with strategic insight, enabling them to obtain large amounts of data from their devices and operate them more effectively.
What you really want to do is to put aside [using AI] and let the machine form a deep learning perspective to tell you things you don't know. The breakthrough is here. The complexity of people is too high, the data is too much, people will make mistakes, but the algorithm is not good.
There is little demand for data center professionals to improve energy efficiency in the data center. Although the algorithm is excellent at modeling data and providing insightful analysis, it still requires operators to make final decisions on these areas.
The cleanest data center
In the final analysis, the cleanest data center is not a data center powered by wind and solar energy, but a data center that cannot be built. Although it sounds ironic, it can achieve this goal by improving efficiency and reducing waste. If each organization of an organization has 25% of the vampire load, the deployment of four data centers is likely to be reduced to three, without any impact on the business.
At the same time, Kass' advice to data center professionals is to persist in learning. He said: "We don't know anything. We know our own situation. Sometimes, we may not be able to determine the right strategy or solve the problem correctly," she said, and filling the knowledge gap will have a significant impact.
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