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Hewlett Packard Enterprise (HPE) has announced it is making supercomputing accessible for more enterprises to harness insights, solve problems and innovate faster by delivering its energy-efficient supercomputers in a smaller form factor and at a lower price point.
The expanded portfolio includes new HPE Cray EX and HPE Cray XD supercomputers, which are based on HPE’s exascale innovation that delivers end-to-end, purpose-built technologies in compute, accelerated compute, interconnect, storage, software, and flexible power and cooling options. The supercomputers provide significant performance and AI-at-scale capabilities to tackle demanding, data-intensive workloads, speed up AI and machine learning initiatives, and accelerate innovation to deliver products and services to market faster.
“We have entered a new frontier with the exascale era, which is represented by massive data growth that requires advanced modeling, simulation, analytics, and AI-at-scale capabilities to realize outcomes and accelerate innovation,” said Trish Damkroger, chief product officer and senior vice president, HPC, AI and Labs, HPE. “With the expanded portfolio of HPE Cray supercomputers, that leverage our world-leading exascale technologies, we are empowering broader commercial and public sector organizations to seize a growing opportunity by making supercomputing accessible to meet their scale and data center needs.”
Speeding time-to-market and strengthening industry competitiveness with supercomputing
Supercomputing continues to demonstrate significant value to advance R&D and strengthen competitiveness.
By extending the power of supercomputing to the enterprise, organizations can take advantage of modeling and simulation capabilities to create digital representations that help them understand how something will look and perform in the physical world before productizing it. Additionally, as many products and services are incorporating AI and machine learning, enterprises can leverage supercomputing to build and train larger, robust AI models on useful applications, such as natural language processing and computer vision, to predict outcomes faster.
Enterprises in energy, such as oil and gas, financial services, health and life sciences, and manufacturing, can now benefit from powerful technologies by adopting supercomputing solutions from HPE that fit within their data center size, scale and budget needs. Examples of use case benefits, across industries, include:
- Speeding up time-to-market with safer and high-performing cars Car makers need to first meet crash-testing requirements, to ensure the safety and performance of new vehicles, to meet product launch timeline goals. By digitally simulating vehicle safety and performance using supercomputing, automotive manufacturers can better model and test vehicle design improvements and simulate accidents to make advancements to protect passengers. Additionally, car makers can save money and resources on having to conduct physical testing and car crash simulations.
- Improving manufacturing with sustainable materials Having capabilities to simulate physical and chemical components to advance the discovery of alternative materials, can help the manufacturing space improve sustainable packaging options for personal and consumer care products and lead to reducing operating costs for businesses.
- Accelerating drug discovery to treat diseases faster Research scientists and pharmaceutical labs will be able to better understand chemical interactions that can lead to breakthrough new drug therapies for challenging and even yet-to-be-discovered diseases.
- Making critical millisecond decisions in finance markets Financial analysts can leverage supercomputing performance and AI capabilities to create detailed analytics and advanced algorithms to predict critical stock trends and trade, and even improve fraud detection and risk management.