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What is HPE Cray?

The HPE Cray exascale supercomputers showcase a revolutionary design, created from the ground up to adeptly handle the extensive requirements of contemporary converged modeling, simulation, artificial intelligence, and analytics endeavors. This signifies the beginning of a new era in the realm of supercomputing technology. The advancements embodied in HPE Cray supercomputers are among the most significant breakthroughs we have witnessed in the last few decades. By employing these powerful machines, we are unlocking transformative capabilities to address the intricate challenges of our time. HPE Cray supercomputers symbolize the future of computational technology, engineered to meet the fast-changing demands of science, exploration, and success. Thoughtfully redesigned and meticulously crafted, this solution caters to the diverse needs of the modern digital landscape. Through a blend of cutting-edge hardware and software innovations, we are tackling the complexities stemming from rising core counts, varied compute node architectures, and the crucial need for scalable AI workflows, thereby facilitating unparalleled advancements across multiple domains. The exceptional capacity to confront such challenges is what distinctly differentiates these supercomputers from others in the field, making them a crucial asset for future research and development.

What is GPUEater?

Persistence container technology streamlines operations through a lightweight framework, enabling users to be billed by the second rather than enduring long waits of hours or months. The billing process, which will be conducted through credit card transactions, is scheduled for the subsequent month. This innovative technology provides exceptional performance at a cost-effective rate compared to other available solutions. Moreover, it is poised for implementation in the world's fastest supercomputer at Oak Ridge National Laboratory. A variety of machine learning applications, such as deep learning, computational fluid dynamics, video encoding, and 3D graphics, will gain from this technology, alongside other GPU-dependent tasks within server setups. The adaptable nature of these applications showcases the extensive influence of persistence container technology across diverse scientific and computational domains. In addition, its deployment is likely to foster new research opportunities and advancements in various fields.

Media

Media

Integrations Supported

Integrations Supported

Keras
PyTorch
TensorFlow

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.0992 per hour

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Hewlett Packard

Date Founded

2015

Company Location

United States

Company Website

www.hpe.com/us/en/compute/hpc/supercomputing/cray-exascale-supercomputer.html

Company Facts

Organization Name

GPUEater

Company Location

United States

Company Website

gpueater.com

Categories and Features

Categories and Features

Cloud GPU

Not specified

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