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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Amazon SageMaker Studio Lab offers a complimentary environment for machine learning (ML) development, ensuring users have access to compute resources, storage of up to 15GB, and essential security features without any charge, allowing anyone to explore and learn about ML. To begin using this platform, all that is required is an email address; there is no need to set up infrastructure, manage access controls, or create an AWS account. It enhances the process of model development with seamless integration with GitHub and is equipped with widely-used ML tools, frameworks, and libraries for immediate engagement. Additionally, SageMaker Studio Lab automatically saves your progress, meaning you can easily pick up where you left off without needing to restart your sessions. You can simply close your laptop and return whenever you're ready to continue. This free development environment is designed specifically to facilitate learning and experimentation in machine learning. With its user-friendly setup, you can dive into ML projects right away, making it an ideal starting point for both newcomers and seasoned practitioners.

Description

Vertex AI Notebooks offers a comprehensive, end-to-end solution for machine learning development within Google Cloud. It combines the power of Colab Enterprise and Vertex AI Workbench to give data scientists and developers the tools to accelerate model training and deployment. This fully managed platform provides seamless integration with BigQuery, Dataproc, and other Google Cloud services, enabling efficient data exploration, visualization, and advanced ML model development. With built-in features like automated infrastructure management, users can focus on model building without worrying about backend maintenance. Vertex AI Notebooks also supports collaborative workflows, making it ideal for teams to work on complex AI projects together.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Jupyter Notebook
PyTorch
TensorFlow
1min.AI
Amazon SageMaker
Amazon Web Services (AWS)
Azure Data Lake
Cline
Conda
Gemini 1.5 Pro
Gemini Flash
Git
GitHub
Google Cloud Dataproc
Google Cloud Platform
Kong AI Gateway
Kubeflow
MindMac
Mistral Large 2
ZenML

Integrations

Jupyter Notebook
PyTorch
TensorFlow
1min.AI
Amazon SageMaker
Amazon Web Services (AWS)
Azure Data Lake
Cline
Conda
Gemini 1.5 Pro
Gemini Flash
Git
GitHub
Google Cloud Dataproc
Google Cloud Platform
Kong AI Gateway
Kubeflow
MindMac
Mistral Large 2
ZenML

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$10 per GB
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/studio-lab/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/vertex-ai-notebooks

Product Features

Machine Learning

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

Product Features

Machine Learning

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

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