AWS Neuron

AWS Neuron

Amazon Web Services
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About

It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal code changes and without tie-in to vendor-specific solutions. AWS Neuron SDK, which supports Inferentia and Trainium accelerators, is natively integrated with PyTorch and TensorFlow. This integration ensures that you can continue using your existing workflows in these popular frameworks and get started with only a few lines of code changes. For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP).

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations in need of an SDK solution with a compiler, runtime, and profiling tools that unlocks high-performance and cost-effective deep learning acceleration

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon Web Services
Founded: 2006
United States
aws.amazon.com/machine-learning/neuron/

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Alternatives

Categories

AI Inference Supported
AI Infrastructure Supported
Deep Learning Supported
Machine Learning Supported

Categories

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Integrations

Amazon EC2 Capacity Blocks for ML Supported
Amazon EC2 G5 Instances Supported
Amazon EC2 Inf1 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon EC2 P5 Instances Supported
Amazon EC2 Trn1 Instances Supported
Amazon EC2 Trn2 Instances Supported
Amazon EC2 UltraClusters Supported
Akira AI Not Supported
Amazon SageMaker Debugger Not Supported
Amazon Web Services (AWS) Supported
Azure Marketplace Not Supported
Database Mart Not Supported
HPC-AI Not Supported
IBM Distributed AI APIs Not Supported
IBM Watson Studio Not Supported
Intel Open Edge Platform Not Supported
ModelOp Not Supported
Rosepetal AI Not Supported
io.net Not Supported

Integrations

Amazon EC2 Capacity Blocks for ML Supported
Amazon EC2 G5 Instances Supported
Amazon EC2 Inf1 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon EC2 P5 Instances Supported
Amazon EC2 Trn1 Instances Supported
Amazon EC2 Trn2 Instances Supported
Amazon EC2 UltraClusters Supported
Akira AI Supported
Amazon SageMaker Debugger Supported
Amazon Web Services (AWS) Not Supported
Azure Marketplace Supported
Database Mart Supported
HPC-AI Supported
IBM Distributed AI APIs Supported
IBM Watson Studio Supported
Intel Open Edge Platform Supported
ModelOp Supported
Rosepetal AI Supported
io.net Supported
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