Category Archives: Data Center

data center cooling

Modular Data Center Cooling Trends

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Data Center Cooling

data center cooling

According to findings from a Global Market Insights report, the worldwide market for data center cooling equipment will reach $20 billion by 2024. This is a significant increase from the estimated $8 billion spent in 2016 to cool data centers. On average, cooling systems account for about 40 percent of the total energy consumption.

Facility owners and data center operators have focused on lowering their PUE (power usage effectiveness), which is the ratio of power consumed by hardware to power consumed to keep it cool. As the density of the servers increase, so does the amount of heat generated even though the individual server components are generating less heat as the technology improves.

The EdgeMCS Modular Data Center cooling uses a rack-based cooling system; these systems are expected to see the highest rate of growth given their design and efficiency.

Choosing the right data center cooling system is key to an efficient modular data center, as is the envelop in which it is housed. With an advanced light-weight concrete structure built to improve energy efficiency, EdgeMCS Modular Data Centers have a long-term value to those that understand the total system engineering of modular data centers. For more information on the engineering design and the advanced data center cooling systems within our MDCs, contact EdgeMCS.

data center asburn, virginia

Data Center Growth Continues in Virginia

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Vantage Data Centers, a leading wholesale data center provider on the west coast, has secured 42 acres of land in Ashburn, Virginia to construct a new 108MW wholesale data center campus. The acquisition represents a significant financial investment for Vantage totaling more than $1 billion over the next several years.

data center asburn, virginiaAccording to Vantage, “The Ashburn campus will be larger than any of our current campuses in Silicon Valley and Quincy, Washington. More importantly, it’s an investment in our customers. As you can imagine, the decision to expand beyond our west coast focus is not one we came to lightly. Throughout the process, there was one constant driver to proceed with the expansion: the demands of our customers.”

Ashburn is located in Loudoun County which is referred to as Data Center Alley; see Data Center Alley – Loudoun is King of the Internet. It is a strategic location not just for data center providers, but for data center customers as well. Northern Virginia contains the densest interconnection point on the east coast. Loudoun’s Fast-Track Commercial Incentive Program allows data center operators to get to market in record time.

The region features low-cost power and a valuable sales tax exemption which results in a compelling TCO (Total Cost of Ownership). Construction of Vantage’s Ashburn campus is slated for early 2018; a five-building design and the delivery of the first 24MW building in early 2019. Other data center providers are expanding their operations in Northern Virginia as well; see Northern Virginia Data Center Growth.

For more information on data center design and edge computing networks, contact EdgeMCS.

Edge Computing, Key to Autonomous Cars

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Advances made in machine learning and autonomous vehicles require a tremendous amount of computing power.  In fact, an autonomous car can be looked at as a data center of its own.  The next generation of applications will need near-real-time response from computing systems and in order to process the data from self-driving cars, computing power is going to need to be pushed to network edges.  Also world leading research and advisory company, Gartner,  is predicting that by 2020 there will be a quarter billion connected vehicles on the road making connected cars a major element of the Internet of Things (IoT). 

Recently Kal Mos, Vice President for Connected Car, User Interaction & Telematics at Mercedes-Benz Research & Development North America, discussed the importance of edge computing in autonomous vehicles.  Making use of different techniques in order for car features to work without a connection and enabling artificial intelligence within cars is where development in edge computing comes into play. However, advancements in autonomous driving will experience challenges along the way to evolution.  Associated variables to be considered in human capabilities of drawing upon years of experience with driving will prove to be interesting in witnessing the jump from lab artificial intelligence to edge artificial intelligence. For more insight from Kal Mos, read full article here.