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Average Ratings 0 Ratings
Description
It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.
Description
Speed up the transfer of offline data or remote storage to the cloud seamlessly. Migrate vast amounts of data, reaching petabytes, to the cloud with no restrictions on storage capacity or computing resources. Enhance application performance in challenging edge environments that lack connectivity and handle computational tasks even with limited access to networks. Safeguard your data while it is being transferred using Snowball's durable design, built-in logistics, and secure, tamper-evident packaging, ensuring efficient delivery to the intended destination. Within the AWS Snowball console, choose your desired device, which could be either the AWS Snowball Edge Compute Optimized or the AWS Snowball Edge Storage Optimized. Initiate a job linked to an Amazon S3 bucket, opt for Amazon Simple Notification Service (Amazon SNS) to monitor progress, and set up configurations such as Amazon EC2 AMIs. AWS will then prepare and dispatch the selected device to your location. Upon receipt, power on the device and utilize AWS OpsHub to unlock it for use. Connect the device to your local area network, and leverage AWS OpsHub to manage it, facilitate data transfers, or launch EC2 instances as needed. This streamlined process ensures that your data migration is not only efficient but also secure and straightforward.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
AWS Deep Learning AMIs
Yes
AWS Deep Learning Containers
Yes
AWS Hybrid Cloud
No
AWS Marketplace
No
AWS Trainium
Yes
Amazon EC2
No
Amazon EC2 Capacity Blocks for ML
Yes
Amazon EC2 G5 Instances
Yes
Amazon EC2 Inf1 Instances
Yes
Integrations
Amazon Web Services (AWS)
Yes
AWS Deep Learning AMIs
No
AWS Deep Learning Containers
No
AWS Hybrid Cloud
Yes
AWS Marketplace
Yes
AWS Trainium
No
Amazon EC2
Yes
Amazon EC2 Capacity Blocks for ML
No
Amazon EC2 G5 Instances
No
Amazon EC2 Inf1 Instances
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon Web Services
Founded
2006
Country
United States
Website
aws.amazon.com/machine-learning/neuron/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/snow/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No