Big Data. Big Decisions
InformationWeek
Special Coverage Series


Intel Launches Low Power Atom To Counter ARM

Intel offers 6-watt chip for data centers to beat back Calxeda, other ARM designers using mobile chips to build servers.

Intel introduced a new low-power, 6-watt processor Tuesday as a possible replacement for the common 40- and 95-watt servers that fill data centers worldwide, and in some cases, poorly utilize large amounts of electricity.

The new lightweight, micro-module servers, as opposed to tower, rack-mount or even blade servers, run cooler and are more compact. Greater numbers can be packed in a rack and several servers can share a cooling fan, instead of each unit needing its own direct airflow.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Intel's Atom S1200 processor is a two-core system on a chip, with cores running at speeds between 1.56 GHz and 2.0 GHz. In other words, they lag the latest full-power Xeon chips; the current Sandy Bridge Xeon, for example, might run from 3.2- to 3.6-GHz clock speeds. But like Xeon, each Atom core is able to run two threads simultaneously, giving it greater instruction-processing capabilities than single-thread chips.

The Atom S1240 runs at 6.1 watts; the Atom S1220, 8.1 watts; Atom S1260, 8.5 watts.

[ Want to learn more about low-power servers? See Calxeda Gets $55 Million To Fight Intel Servers. ]

Intel is carefully positioning the Atom as a specialized processor, good for a high number of small tasks running in parallel workloads, not a general-purpose chip like other members of the x86 family. Many cloud applications make use of distributed processors, such as the big data handler Hadoop, and it's conceivable Atom will find its way into Hadoop clusters and similar work. Intel mainly wishes to avoid having Atom cannibalize sales of its high-power, high-end processors. But some server manufacturers, such as Dell and HP, have begun to produce microservers based on the competing ARM architecture. ARM designs produce low-power chips used in smartphones and mobile devices.

"The data center continues to evolve into unique segments and Intel continues to be a leader in these transitions," said Diane Bryant, VP and general manager of the data center and connected systems group at Intel, in a webcast from Intel's Santa Clara, Calif., headquarters.

"We recognized several years ago the need for a new breed of high-density, energy-efficient servers ... We are delivering the industry's only 6-watt system on a chip that has key data center features," said Bryant. Two of those data center features are multi-threading and error-correcting code, where data taken from RAM is compared to a master copy to ensure the data about to be used is intact.

Atom is also able to run existing Linux and Windows and x86 applications without modification, a big plus, while ARM does not.

Advocates of green data centers say the low-power chips should supplant those with bigger energy appetites. But Intel took pains on its website to outline many areas where microservers would not necessarily be the right choice. "The microserver approach is not suited to workloads in many segments, such as high-performance computing, financial services, virtualized infrastructure, mission-critical computing and databases," said an Atom specification sheet.

Cloud computing suppliers, on the other hand, are looking to build the most efficient data centers possible for running discrete workloads, and Atom may play a role in future cloud construction.

Intel is shipping the Atom processor starting at $54 for 1,000 or more. It will seek to build a server ecosystem around it, and in addition to HP and Dell, cited Accusys, Huawei, Quanta, Supermicro, CETC, Inspur, Microsan and Qsan as producers of server designs incorporating the chip.



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.