DEEP Framework for Deep Learning: Deep Learning on a Cloud and HPC Environment

Due to a shift in HPC sites' perception of HPC cloud resources available and in future roadmaps from CSPs, the HPC cloud market continues to be one of the strongest growth markets in today's HPC ecosystem. While the HPC on-premises market is not projected to dramatically change from the steady 6%-8% five-year CAGR seen in years past, the cloud market is currently showing a projected 17.6% five-year CAGR for the next five years.

The American Meteorological Society (AMS) recently hosted its 104th Annual Meeting in Baltimore, Maryland with the theme of "Living in a Changing Environment". The event consisted of 47 meetings and symposia on various topics involving the science, policy, and technology of climate change, oceanography, and meteorology. Among these was the 10th Annual Symposium on High Performance Computing (HPC) for Weather, Water, and Climate. HPC is considered essential to the efforts of weather, water, and climate organizations worldwide to provide accurate forecasts and advance scientific understanding of Earth's systems. A panel discussion including David Michaud (NWS), Laurie Carriere (NASA), Thomas Hauser (NCAR), Frank Indiviglio (NOAA), and Tiago Quintino (ECMWF) shed light on the shared challenges and opportunities faced by these organizations in leveraging HPC for weather prediction and climate modeling.