For a company to have its own data center is surely a sign of success — and also a major cost burden. Kenneth Hess discusses pathways to more efficient data center operation.
Data centers are energy vacuums. Historically, they are sinkholes for money, power and inefficiencies. They don’t have to be. If you’re thinking of building a new data center or if you already have one “on the slab,” you can pick up some pointers from the company that knows how to build an efficient data center: Google. These five data center optimizations are those that Google follows for its data centers.
Does Google have a 100,000 square foot data center in Silicon Valley? No. Why? It’s too expensive. Land is expensive. Power is expensive. And, people are too expensive. It’s impressive to have a nice data center in Silicon Valley, but it does mean it might never turn a profit. Try moving your pride to a better, less expensive location. Google’s U.S. data center locations: Berkeley County, South Carolina; Council Bluffs, Iowa; Lenoir, North Carolina; Mayes County, Oklahoma; and the Dalles, Oregon. All are a far piece from the pomp, circumstance, and expense of Silicon Valley, but is your company’s stock price sitting at more than $500 per share? Google’s is.
Google states that, “Good air flow management is fundamental to efficient data center operation,” and you should, “Start with minimizing hot and cold air mixing and eliminate hot spots.” Data center air flow management is far more important than cooling and can, in fact, lower your need for additional cooling. One method for reducing the mixing of hot and cold air is to arrange your racked servers in a hot-aisle, cold-aisle configuration. In this scenario, cold air blows on the front sides of server systems, while the hot aisle’s heat dissipates via exhaust fans. Adequate air flow also eliminates hot spots.
Read the rest about data center efficiency at ServerWatch.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.