The AI revolution in HPC - IBM Systems Blog: In the Making

In a few months, when the HPC community gathers in Denver for SuperComputing 2017, I expect it will become clear that the supercomputing field is poised to take the next giant step in its evolutionary path. For decades, the HPC community has spoken longingly of efficiently steering simulations, improving the interpretation of complex model outputs and building more efficient and representative models of complex phenomena. And now we are beginning to see these desires realized as researchers and commercial enterprises demonstrate the utility of melding AI with HPC in products and approaches across a broad spectrum of problems and industries. IBM has been focused on merging AI and HPC for some time. Our recently-announced PowerAI Vision is a natural adjunct to HPC simulations producing visual outputs. We announced Distributed Deep Learning, which exploits HPC architecture to achieve noteworthy learning performance, thereby speeding "time-to-insight," and of course, in IBM Watson we have the capability to ingest huge amounts of data to help guide model development or solution interpretation.