Dell built its business and, until recently, its reputation by keeping things simple. The strategy worked for years with its direct-to-consumer PC model, and now it wants to bring that same cut-and-dried approach to the much more complex and comparatively mysterious world of server virtualization. Dell (Quote), along with dozens of hardware, software and virtualization […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Dell built its business and, until recently, its reputation by keeping things simple.
The strategy worked for years with its direct-to-consumer PC model, and now it wants to bring that same cut-and-dried approach to the much more complex and comparatively mysterious world of server virtualization.
Dell (Quote), along with dozens of hardware, software and virtualization services vendors, will be front and center next week at the VMworld Conference in San Francisco, hoping to stake its claim to what’s suddenly become all the rage in datacenters from Fort Lauderdale to Bangalore.
Virtualization, which lets IT managers cram multiple computing environments onto one computer so that one physical server can perform the function of two or more machines, saves time, space, energy and money.
But getting an organization’s datacenter to the point where it can start realizing all that’s promised by virtualization isn’t as easy as it could or should be, according to Glenn Keels, a senior project manager in Dell’s PowerEdge server division.
“The industry, including Dell to a certain degree, is making consolidation and virtualization too complex,” Keels said in an interview with internetnews.com. “There are some myths and misconceptions out there that are confusing customers. We’ve had customers coming to us asking if it’s true that you need blades to virtualize.”
Keels said Dell doesn’t think it’s in customers’ best interests to be automatically steered to blade servers as part of their consolidation and virtualization efforts even though they do take up considerably less physical space and consume less energy in the datacenter.
“We don’t want to drive virtualization into proprietary systems,” he said. “The customers receive the best price and performance by focusing on two- and four-socket systems. Let’s not just blade everything. By whole-hearted adopting that, you can actually increase complexity. Blades should be an option—and we love blades—but not a mandate.”
Charles King, principal research analyst at the Hayward, Calif.-based research firm Pund-IT, said he generally agreed with Dell’s position that blades aren’t always the best or only option for enterprise customers looking to reduce their datacenter footprint.
“It’s a fair point,” he said. “An x86-based server running Wintel or Linux on AMD or Windows on AMD is fully capable of supporting virtualization capabilities. You can still get remarkably strong performance on rack servers. You just don’t create the highly condensed physical environment that you can get with blades.”
This article was first published on InternetNews.com. To read the full article, click here.
-
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
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
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
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
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
SEE ALL
APPLICATIONS ARTICLES
Larry Barrett is a freelance journalist and blogger who has covered the information technology and business sectors for more than 15 years. Most recently, he served as the online news editor for 1105 Media's Office Technology Group and as the online managing editor for SourceMedia's Investment Advisory Group publications Financial Planning, On Wall Street, and Bank Investment Consultant. He was also a senior writer and editor at Ziff Davis Media's Baseline Magazine, winner of the Jesse H. Neal National Business Journalism Award, and ZDNet. In addition, he's served as a senior writer and editor at prominent technology and business websites including CNET, InternetNews.com, Multichannel News, and the San Jose Business Journal.