Dror Shenkar, Senior Architect of Intel Data Center Management Solutions, Intel, and Shahar Belkin, VP R&D at Zuta-Core, explore the past, current and future landscape of data center cooling. What’s next?
Kris Holla, Group Vice President and Chief Sales Officer for Nortek Air Solutions, explores how data centers can best reach their future sustainability goals.
What’s ahead for the data center industry? We’ve identified eight themes that will shape the data center business in 2020. The big theme: data, data everywhere.
Education is part of our mission at Data Center Frontier. In our Voices of the Industry feature, we share the experience of data center executives on the front lines of innovation. Here’s a look at the 10 most popular Voices columns for 2019.
Vlad Friedman CTO at DataBank, explores data center cooling options, and highlights the rear door cooler system, which the company is implementing at its new ATL1 data center in Atlanta.
Data Center Frontier’s most-read stories in April included news on how new fire codes could impact UPS design, a tower REIT entering the colocation fray, and our series looking at the Denver data center market.
Andrew Schaap, CEO at Aligned Energy, explores the many ways to approach data center cooling. According to Schaap, to future-proof your data center cooling, it is best to start with an adaptive data center partner.
There’s a challenge that’s come up in recent years regarding cooling technology and strategies for businesses like data centers and colocation firms. That’s understanding the differences between comfort, or residential cooling units being used in computer room applications. The new white paper from Schulz highlights the differences between precision cooling versus comfort cooling.
After significant growth, Xfernet, a Los Angeles-based colocation, needed to move its facility into a 14,000 square foot data center space with shallow raised floors, low ceilings and limited footprint for new cooling equipment. Chatsworth Products’ John Thomas highlights how the California colocation achieved higher rack densities and ramped up efficiency by using new data center cooling strategies.
Clearly, machine learning can and has been used to achieve greater data center cooling efficiency. While most data centers are not yet equipped to do the same, the theory behind how machine learning can optimize cooling efficiency is fairly well understood. Sabey Data Centers’ John Sasser, Sr. Vice President of Data Center Operations, takes a look at how machine learning presents both challenges and opportunities for today’s data center cooling technology.