Big Data. Big Decisions
InformationWeek
Special Coverage Series


HP Plans Low-Power Servers Using Calxeda ARM Chips

HP's tiny servers built on Calxeda's energy efficient Cortex chip are designed to handle large Web data streams, video processing, picture uploading, or Hadoop-style big data analysis.

HP on Tuesday launched Project Moonshot, ultra-low-power servers that are designed for large Web applications, search engines, and social networking firms. The tiny servers use cell phone-type components in a server architecture that consumes 89% less power than conventional servers.

The servers have a format that is a fraction of the size of a typical blade server but are not initially designed as replacements for Intel and AMD x86 servers. On the contrary, they will not be able to run Windows, only Cannonical and Red Hat Linux.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Instead of being general purpose computing devices, the HP Redstone Server Development Platform will be designed to execute particular types of workloads, such as social networking, search, online gaming, and other applications that make use of many parallel threads running at the same time.

The Redstone servers will appear in the first half of 2012 and will be based on Calxeda's energy efficient ARM processors, its Cortex chip. ARM chips are often used in cell phones and other mobile devices that must depend on battery power.

Paul Santeler, VP and general manager of HP industry standard servers and software, said "trayfuls" of the tiny Redstone servers can be plugged into standard server racks. HP showed off 2,880 servers in a rack in a demonstration Tuesday at HP Labs in Palo Alto, Calif. The new design is aimed at customers similar to the one who recently told him,"I don't think of 20,000 as a large order anymore," Santeler said.

[ Want to see how fast data centers are adding to the world's electrical consumption? See Data Centers May Not Gobble The Earth After All. ]

Santeler contrasted 400 traditional HP x86 servers in 10 racks using 20 switches and 1,600 cables with an equivalent processing power found in one-half rack of tiny Redstone servers. The half rack would contain 1,600 servers--it takes four Redstones to equal one typical x86--with two switches and just 41 power and connector cables. The rack is a highly integrated unit with a shared network fabric, power supply, cooling, and management interface, he said. Redstone servers have also been designed with high I/O bandwidth.

He held up a roughly two-inch by nine-inch card that plugs into a tray for the rack and said that it contained four Redstone servers on it. The servers take up 94% less space than x86 servers and cost 63% less to produce, Santeler said.

"As an end user, Redstone is interesting to us because when you log into a machine, you use the same Linux tools and management interface as x86 Linux servers," said Niall Dalton, director of high frequency trading at Cantor Fitzgerald, a financial services firm, who attended the announcement at HP's request.

HP officials took pains to emphasize that the initial choice of Calxeda ARM to power Redstone servers did not rule out other architectures for the server platform. Intel's Atom chip is another low power architecture that is slated to be included in the platform at an unspecified future date.

The Redstone architecture is likely to be used for off-line analytics on large Web data streams, video processing, picture uploading, or Hadoop-style big data analysis, said Forrester analyst Richard Fichera. But its "system level architecture has a great play in the data center as well," if HP succeeds in getting it established, he said.

Dwight Barron, chief technologist for HP's industry standard servers and software division, said the architecture is designed to make use of future "energy sipping" chips in addition to ARM and Intel's Atom. Today's ARM chip use is mainly for embedded systems with the Linux operating system and applications already loaded onto a device. The x86 will probably remain more versatile and general purpose than ARM or other Redstone servers, but huge Web companies like Zynga, Google, and Facebook don't have lots of applications. They have millions of users of a handful of applications, and Redstone is designed to serve those firms more efficiently.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.