Penguin Computing Adds GPU Computing Capabilities to On Demand Service
NVIDIA Tesla GPUs Integrated into Penguin on Demand System – Now Delivers Huge Boosts in Performance for Users
San Francisco, Ca (November 17th, 2009)
Penguin Computing, experts in high performance computing solutions, today announced that Tesla GPU compute nodes are available in its Penguin on Demand (POD) system. Tesla equipped PODs will now provide a pay-as-you-go environment for researchers, scientists and engineers to explore the benefits of GPU computing in a hosted environment.
The POD system makes available on demand a computing infrastructure of highly optimized Linux clusters with specialized hardware interconnects and software configurations tuned specifically for HPC workloads. The addition of NVIDIA’s Tesla GPU Compute systems to POD now allows users to port their applications to CUDA or OpenCL and test their results very quickly and without capital costs.
POD provides high-density Xeon-based compute nodes coupled with high-speed storage, a persistent and secure compute environment that runs on a head node and executes directly on the compute nodes’ physical cores. Jobs run over a localized 10Gig network topology to maximize I/O bandwidth to the user’s storage and minimize latency between processes. Penguin Computing also offers a full range of expert support and services for POD customers including application set-up, creation of the HPC computing environment, ongoing maintenance, data exchange services and application tuning.
“We are very excited about the addition of Tesla GPU compute nodes to our Penguin on Demand service,” says Tom Coull, General Manager of Products and Engineering at Penguin Computing. “Providing a GPU compute capability further differentiates POD from other more general purpose offerings and continues to demonstrate our commitment to giving users a state of the art HPC-focused compute capability in the cloud.”
“Penguin’s On Demand Tesla-based GPU computing environment is a great step forward in providing high-performance computing on demand. Our GPU computing customers now have an on demand platform for developing and delivering their CUDA and OpenCL applications to a wide audience – basically anyone with an Internet connection,” said Sumit Gupta, senior product manager, GPU Computing at NVIDIA. Penguin will be demonstrating the capabilities of the Tesla-enabled POD at SuperComputing 2009 at Booth #911.
About Penguin Computing
Penguin Computing, headquartered in San Francisco, California, specializes in complete, integrated HPC clustering solutions. Penguin has been a successful innovator for over a decade, providing Linux HPC solutions to a variety of industries. Penguin’s staff, including the originator of the Beowulf Cluster architecture, has unsurpassed experience in delivering a powerful combination of fully integrated HPC clusters, comprehensive cluster management software, and services. For more information about Penguin Computing and Penguin products please go to http://www.penguincomputing.com.
###Penguin Computing and Penguin on Demand are trademarks or registered trademark of Penguin Computing, Inc. Linux is a registered trademark of Linus Torvalds. Other names are for informational purposes only and may be trademarks of their respective owners.