Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Intel Monday released two new Itanium 2 processors
designed to fit in entry-level systems and compete with RISC-based
chips.
But the 1.60 gigahertz and 1.40GHz — both with 3MB or L3-cache — also mark
another step in the company’s plans to blur the lines between Itanium and
Xeon. Intel’s two server architectures make up some 85 percent of the server
market, according to IDC statistics.
The Santa Clara, Calif.-based chip making giant said the Itanium
“Madison” chips are designed primarily for front-end applications and to sit
in front of existing Itanium 2-based systems in large scale deployments such
as high-performance clusters.
Already Intel counts carmaker Audi and
financial firm First Trust Corp. as early converts who switched from rival
IBM POWER chips and Sun Microsystems SPARC processors. Intel said it also
has some 50 OEMs ready to install the chips including IBM, HP and Dell as
well as international partners like Founder, Itautec, Kraftway, LangChao,
Lenovo, Maxdata, Rackable and RackSaver. The 1.40GHz with 3 MB of cache is
available for $1,172 in 1,000-unit quantities. It’s 1.60GHz cousin is
slated for a May 2004 release for $2,408.
The company is also touting the two chips as relatively inexpensive
replacements with some systems starting at $2,100, while fully packed
rack systems are expected to show up on OEM product lists for about
$8,000.
Compare that to 2002, when the company debuted Itanium 2. At the
time, an Itanium chipset would set customers back some $18,000 per platform,
the company said. An Intel spokesperson said the company is also working on
making the Itanium available for blade servers by the
second quarter of this year.
“For some applications, the performance that you get on transaction
performance might be a better price performance metric on Itanium,” Jason
Waxman, Intel director of multi-platform marketing, told
internetnews.com.
The Itanium 2 processor family is targeted at
enterprise servers and technical computing clusters while the Intel Xeon
processor family is largely used for general purpose IT infrastructure.
While the usage lines for the two chips are relatively clear, the price
drops combined with the speed bumps are part of Intel’s master plan of
blurring the lines. The idea is to make Itanium 2-based systems twice as
fast as Xeon servers for the same system cost by 2007, starting with its
Tukwila chips. The common ground for the two processors will be front-end
edge and mid-tier enterprise servers.
“In the next few years, system manufacturers will be able to design an
Itanium 2 processor and Intel Xeon processor-based system using the same low
cost components,” Richard Dracott, Intel general manager of Enterprise
Marketing and Planning said in a statement. “Every product and technology we
roll out moves us one step closer to a common system with common
infrastructure costs.”
Intel’s roadmap for Itanium is fairly aggressive. The company is slated
to launch six different server processors this year alone. Next year,
companies said its first dual-core Itanium 2 processor, code-named
“Montecito,” is due in 2005, and will be supported by Intel’s
third-generation chipset, code-named “Bayshore.” The chipset supports PCI
Express and double data-rate (DDR2) memory.
Unfortunately for the company, sales of Itanium have been sputtering. Last
November, Intel COO Paul Otellini said the company is on track to ship
100,000 units by the end of 2003 and about 300,000 by the end of 2005.
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
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 2021
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
SEE ALL
ARTICLES