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What Does The Future Hold For Machine Learning And The Data Center?

Posted on February 21, 2019 by Gento

Everyone’s talking about machine learning these days. But what exactly is it? And will we be seeing more of it in the future? Well, we recently sat down with Raritan’s Technical Product Manager, Paul Mott, to discuss this growing trend and the potential effects it could have on the data center industry. 

Question 1: What are your thoughts on machine learning and the role it will play in the data center space?

Machine learning has already had a profound impact on some of the larger enterprises that have the scale and resources to not only develop but deploy Machine Learning across their data center infrastructure. The most widely publicized example is Google and what they have done with their deep mind platform. They were able to reduce up to 40% of their energy consumption by letting the data center run on autopilot and make small tweaks that weren’t obvious to human operators but made a huge difference overall. 
 

How Is Google’s Artificial Intelligence (AI) Impacting Their Data Center?

Posted on February 7, 2019 by Gento

It's no secret that machine learning has infiltrated everything from the technology sector to the consumer market. From smartphone assistants to Google's Artificial Intelligence (AI) advancements, machine learning continues to help tackle the most challenging problems in the world. When it comes to data centers, the use of machine learning has led to incredible advances in efficient and reduced energy consumption.

Google's AI Leads To A Breakthrough In Energy Consumption

Google's DeepMind AI program has been used in their data centers to reduce the amount of energy used on a daily basis. The implications of this type of machine learning are potentially industry-changing. Take for example the amount of energy that is used to cool a data center. From cooling the servers to maintaining the optimal temperatures in a rapidly warming world, data centers require an astronomical level of energy to cool. Fortunately, AI programs, like DeepMind, are designed to not only reduce the amount of energy needed to cool a data center, but to also provide actionable insights into a global issue: climate changes.

2019 Data Center Predictions—Part 2

Posted on January 30, 2019 by Gento

Content originally sources from IDC. 

As discussed in Part 1 of this series, traditional data centers must prepare for future changes and challenges within the industry. These changes include the impacts of emerging technologies, higher costs, and environmental concerns. As a direct response to these changes, data centers will need to respond to three influential factors as they seek to increase operational efficiencies in the years to come.

Influential Factor Recap

In the first part of this series, we discussed the three key factors that will influence the future of data centers in the coming years. These three factors include:
 

What Happens When Energy Consumption Leads To Unnecessary Spending?

Posted on January 8, 2019 by Gento

Did you know that data centers represent an impressive 1.8 percent of the total energy consumption within the United States? As anyone knows, energy consumption is expensive. The challenge for many data centers is that future energy usage is expected to continue to increase (as will their respective costs). This challenge is further escalated by the fact that many data centers are ineffectively using what energy resources they do have.

What Happens When A University Needs A More Effective Approach To Data Center Locations And Management?

Posted on December 27, 2018 by Gento

All too often shrinking budgets within the education sector cause an array of IT challenges. For one large state university in the northeast, the challenge of a shrinking budget was threatening to limit their ability to use more than one data center. In order to overcome this challenge, the university turned to the Raritan team for a bit of help and of course expertise in data monitoring, security, and storage solutions.

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