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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Description

Umbrelly Cloud, an AWS optimization platform, is designed to reduce cloud expenses. Umbrelly Cloud unlocks savings up to 25% by leveraging shared AWS plans. Customers can typically achieve average cost savings of 19.3%, without compromising performance or service levels. Umbrelly's automated process of optimization ensures compliance with AWS Terms and Conditions. Umbrelly Cloud offers tangible cost savings and improved resource utilization as well as enhanced financial predictability.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

AWS Lambda
Amazon SageMaker
Amazon Web Services (AWS)
Amazon CloudWatch
Amazon EC2
Amazon ElastiCache
Amazon Elastic Block Store (EBS)
Amazon OpenSearch Service
Amazon RDS
Amazon Redshift
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Change Healthcare Data & Analytics
Keras
MXNet
PyTorch
TensorFlow

Integrations

AWS Lambda
Amazon SageMaker
Amazon Web Services (AWS)
Amazon CloudWatch
Amazon EC2
Amazon ElastiCache
Amazon Elastic Block Store (EBS)
Amazon OpenSearch Service
Amazon RDS
Amazon Redshift
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Change Healthcare Data & Analytics
Keras
MXNet
PyTorch
TensorFlow

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

1994

Country

United States

Website

aws.amazon.com/sagemaker/debugger/

Vendor Details

Company Name

Umbrelly.cloud

Founded

2022

Country

United States

Website

umbrelly.cloud/

Product Features

Machine Learning

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

Product Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Alternatives

CostSage Reviews

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