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ease
features
design
support

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Write a Review

Description

The SageMaker Edge Agent enables the collection of data and metadata triggered by your specifications, facilitating the retraining of current models with real-world inputs or the development of new ones. This gathered information can also serve to perform various analyses, including assessments of model drift. There are three deployment options available to cater to different needs. GGv2, which is approximately 100MB in size, serves as a fully integrated AWS IoT deployment solution. For users with limited device capabilities, a more compact built-in deployment option is offered within SageMaker Edge. Additionally, for clients who prefer to utilize their own deployment methods, we accommodate third-party solutions that can easily integrate into our user workflow. Furthermore, Amazon SageMaker Edge Manager includes a dashboard that provides insights into the performance of models deployed on each device within your fleet. This dashboard not only aids in understanding the overall health of the fleet but also assists in pinpointing models that may be underperforming, ensuring that you can take targeted actions to optimize performance. By leveraging these tools, users can enhance their machine learning operations effectively.

Description

Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows, enabling users to build, train, and deploy models more effectively. The platform supports collaborative project work, secure data sharing, and access to Amazon’s AI services for generative AI app development. With built-in tools for model training, inference, and evaluation, SageMaker Unified Studio accelerates the AI development lifecycle.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon Bedrock
Amazon DataZone
Amazon EMR
Amazon Redshift
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Edge
Amazon SageMaker JumpStart
Amazon SageMaker Unified Studio
Cohere
LightOn
Llama
PyTorch
SQL

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon Bedrock
Amazon DataZone
Amazon EMR
Amazon Redshift
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Edge
Amazon SageMaker JumpStart
Amazon SageMaker Unified Studio
Cohere
LightOn
Llama
PyTorch
SQL

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

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/sagemaker/edge/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/unified-studio/

Product Features

Machine Learning

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

Product Features

Data Science

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

Alternatives

Amazon SageMaker Ground Truth Reviews

Amazon SageMaker Ground Truth

Amazon Web Services