Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Art Wittmann

Art Wittmann

Managing Director, InformationWeek Reports

HP, Intel: Time To Take Microservers Seriously

HP and Intel are betting on a big market for microservers using the new Centerton chip. Here's why you should pay attention.

Your grandmother probably had a saying like "many hands make light work," which was grandmother-speak for get your butt in here and help out so we can done faster. It looks like server makers are relearning the wisdom of that notion. HP and Intel got together to announce that as HP develops its line of microservers, the first chip it will use is Intel's Centerton.

The announcement was something of a non-event, since HP was only saying that it would use the Centerton chip, it didn't announce any systems or configurations. That will come later in the year when Centerton is in full production. The timing of the event was surely intended to send signals that HP/Intel relationship was alive and well, even as HP, along with lots of Intel execs as witnesses, meet Oracle in court over what's now sure to be the ill-fated Itanium chip and HP's Integrity servers.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

As the sordid spectacle of that trial unfolds, a picture is painted of an unhappy Intel that didn't want to continue losing money on the development of Itanium after an ecosystem for the chip failed to materialize. Indeed, HP is about the only user of the chip now, and had to change its relationship with the chipmaker so that Intel was more of a contractor that would produce the chips as long as HP footed the bill for R&D and production. Oracle released dozens of internal HP emails, presumably gotten during discovery, that illustrated the tension over Itanium.

[ What is the opposite of a microserver? Read IBM's Sequoia Is World's Fastest Supercomputer. ]

At the press conference this week, we were assured that with the Centerton announcement, the companies are back to their old collaborative selves. Centerton is a member of the Atom family of system-on-a-chip (SOC) products, but it has certain server-class features which previous Atom chips don't. Key features that make it appropriate for microserver use are: a 64 bit architecture that is now common for Atom chips, virtualization support in hardware, ECC memory support, dual-core design, and an extremely low power profile. The Centerton chip draws just 6 watts. Compare that with top of the line Xeon chips that can consume north of 130 watts, albeit with many more cores running.

The market for microservers was demonstrated by SeaMicro, which uses low power Xeon and Atom chips to pack lots of servers into a small space. The company claims its systems can take just 1/6 the space and 1/4 of the power of commonly used racked servers from other vendors. AMD purchased SeaMicro for $334 million in February, but the company has yet to release products based on AMD chips.

HP's claims at its press conference go well beyond what SeaMirco has done. HP speaks of thousands of systems per rack, with space savings of up to 94%, which works to about a 20-to-1 ratio of its microservers to standard 1U systems.

The burning question with microservers is the market size. HP thinks the new systems will satisfy up to 10% of the server market, while AMD pegs the number at 20%. Clearly the systems are intended for "scale-out" environments, where services and applications can meet demand simply by deploying more and more servers running the same software. While there are certainly still many "scale-up" applications that run as single instance and need more memory and faster CPUs to meet an increased demand, but that sort of application design is now largely out of favor. Whether you come from a SOA background or a Web services one, it's been drilled into the architectural mindset to keep services tight and easily replicated. That notion matches up well with microserver designs, so one could imagine such systems being used for everything from Hadoop and MapReduce to Web services and systems to even properly architected enterprise applications.

At this year's InformationWeek 500 Conference C-level execs will gather to discuss how they're rewriting the old IT rulebook and accelerating business execution. At the St. Regis Monarch Beach, Dana Point, Calif., Sept. 9-11.



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.