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About

Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values.

About

Purpose-built to run AI anywhere on data everywhere. Our solution unlocks the value of your unstructured data, allowing you to access, prepare, train, fine-tune, and drive AI without any limitations. We’ve joined our industry-leading file and object storage portfolio, including PowerScale, ECS, and ObjectScale, with our PowerEdge server and open, modern data lakehouse approach. This gives you the power to bring AI to your unstructured data, on-premises, at the edge, and in any cloud with the highest performance and infinite scale. Access a full team of trained data scientists and industry experts who will help you implement AI use cases that deliver the most value for your business. Protect, detect, and respond to cyber attackers with hardened software and hardware security and real-time threat detection. Train and fine-tune your AI models using a single point of data access and the highest performance, on-premises, at the edge, and in any cloud.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses seeking a tool to optimize ML models with real-time monitoring of training metrics and system resources

Audience

Organizations searching for a tool providing a scalable, high-performance storage infrastructure tailored to manage and process large volumes of data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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

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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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/debugger/

Company Information

Dell
Founded: 1984
United States
www.dell.com/en-us/dt/solutions/artificial-intelligence/storage-for-ai.htm

Alternatives

Alternatives

Instill Core

Instill Core

Instill AI

Categories

Categories

Integrations

Accenture AI Refinery
Adobe Acrobat
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Iceberg
Cloudera
Databricks Data Intelligence Platform
Delta Lake
Keras
MXNet
Microsoft 365
NVIDIA DRIVE
PyTorch
RAD AI
Snowflake
Splunk Cloud Platform
Teradata VantageCloud

Integrations

Accenture AI Refinery
Adobe Acrobat
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Iceberg
Cloudera
Databricks Data Intelligence Platform
Delta Lake
Keras
MXNet
Microsoft 365
NVIDIA DRIVE
PyTorch
RAD AI
Snowflake
Splunk Cloud Platform
Teradata VantageCloud
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