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What is Polyaxon?

An all-encompassing platform tailored for reproducible and scalable applications in both Machine Learning and Deep Learning. Delve into the diverse array of features and products that establish this platform as a frontrunner in managing data science workflows today. Polyaxon provides a dynamic workspace that includes notebooks, tensorboards, visualizations, and dashboards to enhance user experience. It promotes collaboration among team members, enabling them to effortlessly share, compare, and analyze experiments alongside their results. Equipped with integrated version control, it ensures that you can achieve reproducibility in both code and experimental outcomes. Polyaxon is versatile in deployment, suitable for various environments including cloud, on-premises, or hybrid configurations, with capabilities that range from a single laptop to sophisticated container management systems or Kubernetes. Moreover, you have the ability to easily scale resources by adjusting the number of nodes, incorporating additional GPUs, and enhancing storage as required. This adaptability guarantees that your data science initiatives can efficiently grow and evolve to satisfy increasing demands while maintaining performance. Ultimately, Polyaxon empowers teams to innovate and accelerate their projects with confidence and ease.

What is AWS Elastic Fabric Adapter (EFA)?

The Elastic Fabric Adapter (EFA) is a dedicated network interface tailored for Amazon EC2 instances, aimed at facilitating applications that require extensive communication between nodes when operating at large scales on AWS. By employing a unique operating system (OS), EFA bypasses conventional hardware interfaces, greatly enhancing communication efficiency among instances, which is vital for the scalability of these applications. This technology empowers High-Performance Computing (HPC) applications that utilize the Message Passing Interface (MPI) and Machine Learning (ML) applications that depend on the NVIDIA Collective Communications Library (NCCL), enabling them to seamlessly scale to thousands of CPUs or GPUs. As a result, users can achieve performance benchmarks comparable to those of traditional on-premises HPC clusters while enjoying the flexible, on-demand capabilities offered by the AWS cloud environment. This feature serves as an optional enhancement for EC2 networking and can be enabled on any compatible EC2 instance without additional costs. Furthermore, EFA integrates smoothly with a majority of commonly used interfaces, APIs, and libraries designed for inter-node communications, making it a flexible option for developers in various fields. The ability to scale applications while preserving high performance is increasingly essential in today’s data-driven world, as organizations strive to meet ever-growing computational demands. Such advancements not only enhance operational efficiency but also drive innovation across numerous industries.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Caffe
TensorFlow
AWS HPC
AWS Nitro System
AWS ParallelCluster
Amazon
Amazon EC2
Chainer
Docker
Google Cloud Platform
Keras
Kubernetes
MXNet
Microsoft Azure
OpenFOAM
PyTorch
SAP Store

Integrations Supported

Amazon Web Services (AWS)
Caffe
TensorFlow
AWS HPC
AWS Nitro System
AWS ParallelCluster
Amazon
Amazon EC2
Chainer
Docker
Google Cloud Platform
Keras
Kubernetes
MXNet
Microsoft Azure
OpenFOAM
PyTorch
SAP Store

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

Polyaxon

Company Website

polyaxon.com

Company Facts

Organization Name

United States

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/efa/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

HPC

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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