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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
Integrations
Anaconda
Coiled
Dagster
Domino Enterprise AI Platform
Flyte
Google Cloud Platform
Kedro
NVIDIA DIGITS
Prefect
Ray
Integrations
Anaconda
Coiled
Dagster
Domino Enterprise AI Platform
Flyte
Google Cloud Platform
Kedro
NVIDIA DIGITS
Prefect
Ray
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