The GPU Accelerated Data Center

The rise of GPU accelerated data centers provides the foundation for a viable path forward in the post-Moore’s law era as called for by President Obama in his recent executive order, the National Strategic Computing Initiative.

NVIDIA is proud to be working on two of the largest pre-exascale systems announced to date, the Summit and Sierra systems which will achieve between 100 and 300 petaflops of peak performance when they are deployed starting in 2017. But already today there are many examples of organizations using GPU accelerated data centers. Some of the easiest examples to discuss include those running on GPU accelerated public clouds including NVIDIA’s latest K80 GPUs running on SoftLayer and Amazon Web Services G2 GPU instances

NVIDIA doesn’t just encourage customers to use GPU accelerated data centers, we do so ourselves. Many NVIDIA employees enjoy extended mobility, security, and super-fast data transfer speeds by running their graphics accelerated desktop as a virtual PC in our corporate data center using NVIDIA Grid. While you have to be an NVIDIA employee to have a virtual PC in our corporate data center, anyone can experience a similar experience with the VMware & NVIDIA Grid Test Drive which runs out of several public cloud data centers located around the world.

We have had thousands of developers sign up for our on-going Deep Learning Courses. The first two of five free online courses have already debuted, but you aren’t limited to watching the YouTube replays, you can take the free hands-on lab which runs on GPUs in the cloud using qwikLABS. We also offer a number of other GPU computing courses on qwikLABS.

For this year’s Imagenet competition, NVIDIA is teaming with SoftLayer and providing qualified competitors access to our latest K80 GPUs in the SoftLayer cloud.

Of course all work and no play isn’t fun, so we are even extending our use of the cloud to stream your favorite video games to SHIELD Android TV, SHIELD tablet, and SHIELD portable.

About Marc Hamilton

Marc Hamilton – Vice President, Solutions Architecture and Engineering, NVIDIA. At NVIDIA, the Visual Computing Company, Marc leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA’s customers and partners to deliver the world’s best end to end solutions for professional visualization and design, high performance computing, and big data analytics. Prior to NVIDIA, Marc worked in the Hyperscale Business Unit within HP’s Enterprise Group where he led the HPC team for the Americas region. Marc spent 16 years at Sun Microsystems in HPC and other sales and marketing executive management roles. Marc also worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems”. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
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