The power and potential of exascale supercomputing from HPE
HPE is delivering Frontier to Oak Ridge National Lab, a system that will accelerate innovation in science and technology and maintain US leadership in high-performance computing and artificial intelligence.
Accelerating scientific discovery
From pharmaceutical research, to extreme weather prediction, to space exploration, high performance computing systems speed discovery, increase accuracy, and stretch the limits of human imagination as we explore new frontiers.
Computing at scale with flexibility
With the rise of cloud computing and the availability of HPC as a service, companies have the opportunity to tackle projects that require heavy duty compute on an on-demand basis. This flexibility enables unprecedented project speed, agility, and scalability.
Powering the next generation of artificial intelligence
AI and machine learning are moving from labs to industry, and supercomputers provide critical infrastructure for intensive data processing. With businesses across many sectors facing the increasing need to analyze and gain insights from large data sets, supercomputing will become the ultimate competitive advantage.
Answer your questions today and be ready for what comes next with the most comprehensive supercomputing technology portfolio available for any data center.
Answer diverse and data-intensive questions with an interconnect purpose-built for flexible, heterogenous compute technology.
Create the next generation of applications for innovation and discovery with the industry’s most comprehensive, flexible, and validated HPC and AI software portfolio.
HPE’s high performance computing storage is as well suited for the unique storage demands of AI as traditional all-flash enterprise file storage and is as scalable and cost effective as traditional parallel storage.
Exascale computing’s impact across science and commercial industry
Smarter water management in the face of drought
NCAR scientists have developed an accurate method to predict summer rainfall, enabling better management of shrinking water supplies. This breakthrough promises to improve forecasts of reservoir inflows and response to droughts.
Challenge
Manage water resources smartly and proactively by making informed decisions well ahead of time.
Solution
Accurately forecast summer rainfall in the American Southwest using unsupervised machine learning.
Result
- Predicts summer rains across Arizona and New Mexico months in advance
- Informs decisions on how to best manage dwindling water resources
- Gives water managers enough time to plan resource allocation and to respond to droughts Improves forecasts of water demand, building supply resilience