SAN FRANCISCO, Nov. 15 /PRNewswire/ -- Penguin Computing today unveiled
the Penguin Application-Ready Cluster(TM) Portfolio, a new line of integrated
hardware/software Linux-based cluster systems that provides greater
productivity and efficiency in high performance computing (HPC) and commercial
data center environments. The pre-configured, pre-tested Application-Ready
Cluster Portfolio reduces time to deployment and eliminates the need for many
traditional cluster end user and system administration tasks, making clustered
computing dramatically simpler and more efficient.
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The turnkey Application-Ready Cluster Portfolio is built using proven
Penguin integration and deployment processes with powerful, reliable Penguin
servers loaded with the easy to use Scyld Beowulf(R) Linux clustering
software. Penguin Application-Ready Clusters(TM) are compatible with thousands
of Linux applications across a wide range of vertical industries. This new
Penguin cluster platform is the ideal solution for organizations that want to
combine cluster computing capability with the strong price point of Linux
technology and at the same time take advantage of an easier-to-order, deploy
and use system than traditional offerings.
"The Application-Ready Clusters arrive ready to run, right out of the box,
and significantly reduce the complexity of deploying and managing a Linux
cluster so our customers can be more productive than ever before and focus on
what they do best," said Enrico Pesatori, chairman and CEO of Penguin
Computing. "We believe these new products will allow for greater adoption of
clustering beyond traditional markets. We have made it easy to order and use
clusters, even for organizations without deep cluster experience."
There are three product families within the Application-Ready portfolio:
Penguin Portable Clusters(TM), Penguin Performance Clusters(TM) and Penguin
High Density Clusters(TM). Each cluster family is designed to meet specific
computational needs to help both individuals and organizations make optimal
use of system and personal resources and reach their goals.
Penguin Portable Clusters: Ideal for office, lab or field deployment, the
patent-pending Portable Cluster is designed to increase individual and
departmental efficiency. It includes 6-24 CPUs that deliver up to 200
Gigaflops of performance in a convenient workstation form factor. This
cost-effective, self-contained cluster offers single-point administration and
increases individual and departmental control over important projects. In
addition, the Portable Clusters provide hassle-free setup, tool-free
maintenance and redundancy features for built-in reliability. With prices
starting under $20,000, the Portable Cluster delivers scalable performance
wherever and whenever it is most needed at a price that results in a strong
return on investment.
Penguin Performance Clusters: The Performance Cluster delivers up to 3/4
of a Tflop of performance in a standard 42 unit rack. It is ideal for busy
workgroups or departments requiring 32-256 nodes and is scalable up to
thousands of nodes, as system demands and workloads increase. This system is
composed of familiar 1unit and 2 unit rackmount servers with flexible I/O,
storage and high performance interconnect options.
Penguin High Density Clusters: With the highest density server
architecture on the market, Penguin's High Density Cluster offers up to up to
240 CPUs and 2 Tflops of computing power and as many as 240 CPUs in a standard
size 42 unit rack. Ideal for both traditional HPC and data center compute
environments, this blade-based system provides a highly productive user
experience at a very low total cost of ownership. Built-in features for
redundancy and maintenance simplicity provide sophisticated cluster users with
a worry-free cluster deployment.
Each of the Application-Ready Clusters features optimal system
configurations suitable for thousands of Linux HPC applications. All are
available with single or dual core AMD Opteron(TM) processors with Direct
Connect Architecture or Intel EM64T processor technologies.
"The Application-Ready Cluster portfolio illustrates that our Platinum AMD
Solution Provider Penguin Computing continues to be a leader in developing
innovative, customer-focused cluster solutions that deliver the best processor
performance-per-watt with the latest AMD64 technology with Direct Connect
Architecture," said Pat Patla, director, Server/Workstation Marketing,
Microprocessor Solutions Sector, AMD (NYSE: AMD). "We are pleased to work with
companies like Penguin Computing to create powerful solutions for the
fast-growing HPC market."
About Penguin Computing
Penguin Computing is the leading innovator of highly scalable, powerful
Linux cluster, server and workstation platforms based on open standards
hardware and software. The company has focused 100% on Linux since its
inception and as a result, its solutions are robust and reliable, with a
price/performance that's hard to beat. Scyld Software, a subsidiary of Penguin
Computing, provides the industry leading Linux clustering software, Scyld
Beowulf, whose superior ease of use dramatically simplifies the deployment and
management of Linux clusters. The company's extensive customer base includes
Fortune 1000 companies, government agencies and educational institutions.
Founded in 1998, Penguin Computing is headquartered in San Francisco,
California. To learn more about HPC and Linux clustering, please visit Penguin
Computing at http://www.penguincomputing.com and Scyld Software at
NOTE: Penguin Computing is a registered trademark of Penguin Computing,
Inc. Application-Ready Cluster, Application-Ready Clusters, Penguin Portable
Cluster, Penguin Performance Cluster and Penguin High Density Cluster are
trademarks of Penguin Computing, Inc. Scyld Beowulf is a registered trademark
of Scyld Software Corporation. Linux is a registered trademark of Linus
Torvalds. AMD, AMD Opteron and combinations thereof, are trademarks of
Advanced Micro Devices, Inc. Other names are for informational purposes only
and may be trademarks of their respective owners.
SOURCE Penguin Computing