Big Data. Big Decisions
InformationWeek
Special Coverage Series


Apple Eyes Dumping Intel For ARM

Is Apple serious about shifting OS X and its computers from Intel's x86 architecture to ARM-based chips? Or is it just trying to win concessions from Intel?

Intel's Tech Roadmap: Visual Tour
Intel's Tech Roadmap: Visual Tour
(click image for larger view and for slideshow)
Apple is reportedly investigating a transition away from Intel's x86 chips to ARM-based processors in its OS X product line.

Citing three unnamed sources, Bloomberg said Apple engineers are preparing for a transition to ARM chips, though the company's commitment to Intel hardware makes the shift unlikely in the next few years.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Apple did not respond to a request for comment. The company's iOS devices like the iPad already run on Apple-designed ARM silicon.

Apple might want to transition its OS X products from Intel's x86 architecture to ARM chips because its ARM-based mobile devices now generate most of its revenue, and because maintaining software compatibility with a single chip architecture would take less effort than supporting two chipsets.

Up until about five years ago, computational power was the primary selling point for computers. That worked out well for Intel, which has produced, and continues to produce, some of the fastest chips for desktop computers. Such chips generate significant heat and use a lot of power when running computationally intensive tasks.

[ Mobile payments are getting real. Read Google Wallet Gets Real. ]

But as the market for mobile computing devices has taken off, and the market for desktop computers has stalled, hardware manufacturers have been looking at chip designs that feature low power consumption and don't generate much heat -- consumers tend to not want phones that burn through a battery in an hour or require a fan for cooling.

ARM chips have tended to be more power-efficient than their Intel counterparts. Though Intel is working hard to reverse that trend, Apple made its commitment to ARM technology clear when it bought chip marker Intrinsity in 2010. The company's desktop and notebook computers, however, continue rely on Intel chips.

Carlos Icaza, CEO of Lanica, a maker of mobile game development software, said in a phone interview that it would make sense for Apple to shift entirely to ARM chips given the company's investment in chip-making technology. "They need to move their entire system to a single base chipset, especially for lower-end laptops so they can emit less heat," he said.

Speculation that Apple may be ready to go all-in with ARM is not new, but ARM's announcement last month that its forthcoming Cortex-A57 and Cortex-A53 chips will support 64-bit computing means that Apple could actually adapt its 64-bit OS X to run on ARM hardware.

"The timing is good since last week ARM had its technical conference," said IDC analyst Shane Rau in a phone interview. ARM's 64-bit designs "make the idea of using ARM processors more compelling in general purpose computing spaces," he said.

Rau cautions that making that transition would be "a herculean effort and it would take a lot of time."

There's also the possibility that Apple allowed people in the company to leak word that it is considering an ARM transition to further its negotiations with Intel. Rau notes that it might be in Apple's interest to have "this discussion out in the marketplace, to keep Intel on its toes."

A former Apple executive who asked not to be named shares this view. "It's almost mandatory for Apple to pursue [moving to ARM chips] because it's a way to keep a little bit of pressure on Intel, which is in effect Apple's sole supplier," the executive said.

The problem, the executive said, is that OS X is much hungrier for computing power than iOS. iOS has been optimized to conserve battery power and relies on a smaller code base. This involves a number of trade-offs, such as the way that multitasking is implemented. OS X would probably have to be made much more efficient to run well on ARM hardware.

Apple has successfully managed a major architectural transition before, and doing so again makes sense given the company's business model. As a seller of computer hardware, Apple has an interest in selling customers new devices as often as possible. Tying a future OS X release to a new line of ARM-based machines would encourage customers to purchase both software and hardware to maintain compatibility.

If Apple were to push iOS and OS X closer together and begin migrating its desktop and notebook computers to ARM chips, the company would probably announce its plan at its 2013 Worldwide Developer Conference. Were that to happen, ARM-based MacBook Airs or MacBook Pros might be released toward the end of 2013.



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.