Author Archive: Michael O'Neill

July 10, 2015

GPU Accelerated Supercomputing Comes to IBM’s SoftLayer Cloud Service

NVIDIA GPU technology powers some of the world’s fastest supercomputers. In fact, GPU technology is at the heart of the current #1 U.S. system, Titan, located at Oak Ridge National Labs. It will also be an important part of Titan’s forthcoming successor, Summit, an advanced new supercomputer based on next-generation, ultra-high performance GPU-accelerated OpenPOWER servers.

But, not everyone has access to these monster machines for their high-performance computing, deep learning, and scientific computing work. That’s why NVIDIA is working with IBM to make supercomputing-class technology more accessible to reserachers, engineers, developers, and other HPC users.

IBM Cloud announced earlier this week that NVIDIA Tesla K80 dual-GPU accelerators are now available on SoftLayer bare metal cloud servers. The team worked closely together to test and tune the speedy delivery of NVIDIA Tesla K80 enabled servers. The Tesla K80 GPU accelerators are the flagship technology of our Tesla Accelerated Computing Platform, delivering 10 times higher performance than today’s fastest CPU for a range of deep learning, data analytics and HPC applications.

Bringing Tesla K80 GPUs to SoftLayer means that more researchers and engineers worldwide will have access to ultra-high computing resources – without having to deal with the cost and time commitment of purchasing and maintaining their own HPC clusters. On-demand high performance computing can now be delivered in a matter of hours instead of the weeks or months it takes to build and deploy a dedicated system. Never before has bare-metal compute infrastructure been so agile. Fully populated Tesla K80 GPU nodes can be provisioned and used in two to four hours. Then, they can be de-provisioned or reassigned just as quickly.

With support for GPU accelerators, SoftLayer is providing full-scale data center resources for users to build a compute cluster, burst an existing cluster, or launch a compute intensive project—all on easy to use, cost effective, and easily accessible cloud infrastructure.

The strength of SoftLayer’s API and the experience of IBM Cloud make it easy for users to provision and reclaim resources to enable true cloud bursting for compute clusters, and controlling resources is key to controlling costs.

We’re delighted to expand the reach of GPU-accelerated computing broader than ever before. For more info on IBM Cloud’s GPU offerings on SoftLayer or to sign up, visit www.softlayer.com/gpu.

-Michael

Michael O’Neill is an established leader for NVIDIA. He provides specialized strategic thought leadership and technical guidance to customers on NVIDIA GRID and Tesla GPUs in virtualized environments. He works closely with business leaders to develop innovative solutions for graphical and compute heavy workloads. With over twenty years of experience in planning, developing, and implementing state of the art information systems, he has built a significant body of work empowering people to live, work and collaborate from anywhere on any device. His guidance has provided Fortune 500 companies with cloud computing solutions to help IT and service providers build private, hybrid and public clouds to deliver high-performance, elastic and cost-effective services for mobile workstyles.

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