HPC in the Cloud: Penguin Computing Receives Data Center Solution Innovation Award

Dedicated to covering high-end cloud computing
in science, industry and the datacenter

Translation Disclaimer

Subscribe | Sign In

Tabor Communications
Corporate Video

Top News from Leading HPC in the Cloud Solution Providers

April 25, 2012

Penguin Computing Receives Data Center Solution Innovation Award

Penguin Computing on Demand (POD) recognized by Intel as 2011 most innovative new product

FREMONT, Calif., April 25 — Penguin Computing, experts in high performance computing (HPC) solutions, has been awarded the 2011 Data Center Solution Innovation Award from Intel during this year's Intel Solutions Summit. The award is given to the company that best demonstrates the successful deployment and integration of a data center or server solution resulting in superior return on investment for the client.

"The Penguin team developed a differentiated and leading edge offering with Penguin Computing on Demand," said Charles Wuischpard, CEO, Penguin Computing. "As a company, we are honored to be recognized by Intel for our offering. We will continue to devote our efforts into innovative solutions and maintain a leading role in the space."

Penguin Computing on Demand is an HPC cloud that offers the flexibility and security of a virtualized user interface with the power and dependability of a bare-metal computing environment. Designed to meet the most demanding technical computing needs, PODs are being used by commercial, academic and government organizations world-wide to augment or replace their on-premise high-performance computing or storage systems.

Intel Solutions Summit is the largest channel event where Platinum Partners get a chance to hear the latest industry and Intel news, attend courses on new technologies and Intel products, and meet with a number of other Intel channel partners.

For more information, visit www.penguincomputing.com.

About Penguin Computing

For well over a decade Penguin Computing has been dedicated to delivering complete, integrated Enterprise and High Performance Computing (HPC) solutions that are innovative, cost effective, and easy to use. Penguin offers a complete end-to-end portfolio of products and solutions including workstations, rackmount servers, custom server designs, power efficient rack solutions and turn-key clusters. Penguin also offers the Scyld suite of software products for efficient provisioning and infrastructure monitoring. For users who want to use supercomputing capabilities on-demand and pay as they go, Penguin provides Penguin Computing on Demand (POD), a public HPC cloud that is available instantly and as needed. Penguin counts some of the world's most demanding organizations as its customers, including AOL, Yelp, Caterpillar, Life Technologies, Dolby, Lockheed Martin and the US Air Force.

-----

Source: Penguin Computing, Inc.

RSS Feeds

Feeds by Topic

Feeds by Content Type

Feature Articles

CERN, Google, and the Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Avoiding Scientific Computing Bottlenecks in the Cloud

Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...

Overcoming the Cloud Security Barrier for Financial Services

The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
Read more...

Read more HPC in the Cloud features...

Short Takes

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

In Support of Cloud-based Rendering

May 10, 2013 | Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...

Internet2 Awards Program Seeks Innovative Applications

May 10, 2013 | Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...

Read more headlines...

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Exploring the Potential of Heterogeneous Computing

04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.