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Ratings and Reviews 0 Ratings
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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.
Integrations Supported
Anaconda
Coiled
Dagster
Domino Enterprise AI Platform
Flyte
Google Cloud Platform
Kedro
NVIDIA DIGITS
Prefect
Ray
Integrations Supported
Anaconda
Coiled
Dagster
Domino Enterprise AI Platform
Flyte
Google Cloud Platform
Kedro
NVIDIA DIGITS
Prefect
Ray
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
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
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
