Cloud Resources are Employed at Nearly Half of HPC Sites and are Expected to Gain Additional Popularity

The US National Oceanic and Atmospheric Administration (NOAA) and Microsoft have entered into a Cooperative Research and Development Agreement (CRADA), formalizing NOAA's commitment to using Microsoft Azure cloud computing resources in the pursuit of NOAA's mission to build a Climate[1]Ready Nation by 2030. Several initiatives are envisioned whereby NOAA scientists and engineers will work with Microsoft experts to leverage Azure's machine learning and HPC capabilities: ▪ Fast-tracking innovative contributions to NOAA Earth Prediction Innovation Center (EPIC) earth systems modeling and research ▪ Applying machine learning capabilities to improve models supporting air quality, smoke, and particulate pollution forecasts, as well as relevant NOAA climate models ▪ Accelerating NOAA Fisheries' survey and observations data collection and management ▪ Creating new ocean observations cataloging efforts ▪ Designing resilient and accessible weather modeling and forecasting that can incorporate external data sources with NOAA enterprise data

Survey respondents cited GPUs as the most anticipated processing element within the next 12-18 months at a rate of 74%. When asked about which processing elements they expect to be incorporated into their HPC/AI/HPDA computing resources, the majority of respondents across all sectors expected GPUs to be first (74.0%) and TPUs (24.3%) as next most anticipated. Government and academia respondents reported the highest expectation at a rate of 84%. This data is from the eighth annual study of Hyperion Research's high-performance computing (HPC) end-user-based tracking of the HPC marketplace. It included 181 HPC end-user sites with 3,830 HPC systems.