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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 Dask?

Dask is an open-source library that is freely accessible and developed through collaboration with various community efforts like NumPy, pandas, and scikit-learn. It utilizes the established Python APIs and data structures, enabling users to move smoothly between the standard libraries and their Dask-augmented counterparts. The library's schedulers are designed to scale effectively across large clusters containing thousands of nodes, and its algorithms have been tested on some of the world’s most powerful supercomputers. Nevertheless, users do not need access to expansive clusters to get started, as Dask also includes schedulers that are optimized for personal computing setups. Many users find value in Dask for improving computation performance on their personal laptops, taking advantage of multiple CPU cores while also using disk space for extra storage. Additionally, Dask offers lower-level APIs that allow developers to build customized systems tailored to specific needs. This capability is especially advantageous for innovators in the open-source community aiming to parallelize their applications, as well as for business leaders who want to scale their innovative business models effectively. Ultimately, Dask acts as a flexible tool that effectively connects straightforward local computations with intricate distributed processing requirements, making it a valuable asset for a wide range of users.

Media

Media

Integrations Supported

Integrations Supported

Anaconda
Coiled
Dagster
Domino Enterprise AI Platform
Flyte
Google Cloud Platform
Kedro
NVIDIA DIGITS
Prefect
Ray
Saturn Cloud
Snorkel AI
Spell
Union Cloud
Union Pandera

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

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

Dask

Date Founded

2019

Company Website

dask.org

Categories and Features

Categories and Features

Data Science

Not specified

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