Enterprise Solutions News

Hewlett Packard Enterprise Extends Supercomputing to the Enterprise with New HPE Cray Portfolio

HPE

 Hewlett Packard Enterprise is making supercomputing accessible for more enterprises to harness insights, solve problems and innovate faster by delivering its world-leading, 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. 

Trish Damkroger, chief product officer and senior vice president, HPC, AI & Labs, HPE, said, “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,” “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.

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