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support

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Description

Dask is a freely available open-source library that is developed in collaboration with various community initiatives such as NumPy, pandas, and scikit-learn. It leverages the existing Python APIs and data structures, allowing users to seamlessly transition between NumPy, pandas, and scikit-learn and their Dask-enhanced versions. The schedulers in Dask are capable of scaling across extensive clusters with thousands of nodes, and its algorithms have been validated on some of the most powerful supercomputers globally. However, getting started doesn't require access to a large cluster; Dask includes schedulers tailored for personal computing environments. Many individuals currently utilize Dask to enhance computations on their laptops, taking advantage of multiple processing cores and utilizing disk space for additional storage. Furthermore, Dask provides lower-level APIs that enable the creation of customized systems for internal applications. This functionality is particularly beneficial for open-source innovators looking to parallelize their own software packages, as well as business executives aiming to scale their unique business strategies efficiently. In essence, Dask serves as a versatile tool that bridges the gap between simple local computations and complex distributed processing.

Description

The HPE Cray exascale supercomputers represent a groundbreaking design, developed from scratch to efficiently manage the extensive demands of modern converged modeling, simulation, artificial intelligence, and analytics tasks. This marks the dawn of a new chapter in supercomputing technology. The innovations in HPE Cray supercomputers stand as one of the most pivotal advancements in technology we have seen in recent decades. With these machines, we are enabling transformative capabilities for the complex questions of our time. HPE Cray supercomputers embody the future of computing, designed to support the evolving landscape of science, discovery, and achievement. Rethought and meticulously engineered, this solution responds to the diverse requirements of today's digital age. Through a combination of advanced hardware and software innovations, we are addressing the complexities that arise from increasing core counts, the diversification of compute node architectures, and the necessity for scalable AI workflows, paving the way for unprecedented progress in various fields. The ability to tackle such challenges is what truly sets these supercomputers apart.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dask

Founded

2019

Website

dask.org

Vendor Details

Company Name

Hewlett Packard

Founded

2015

Country

United States

Website

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

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Product Features

Alternatives

Ray Reviews

Ray

Anyscale

Alternatives