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Gemini Enterprise Agent Platform Workbench | Google Cloud

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Gemini Enterprise Agent Platform Notebooks

Choose from Colab Enterprise or Gemini Enterprise Agent Platform Workbench. Access every capability in Agent Platform to work across the entire data science workflow—from data exploration to prototype to production. 

  • Natively analyze your data with a reduction in context switching between services

  • Data to training at scale. Build and train models 5x faster, compared to traditional notebooks

  • Scale up model development with simple connectivity to Agent Platform services

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Getting started with Notebooks for machine learning

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Benefits

Easy exploration and analysis

Simplified access to data and in-notebook access to machine learning with BigQuery, Managed Service for Apache Spark, Spark, and Agent Platform integration.

Rapid prototyping and model development

Take advantage of the power of infinite compute with Agent Platform Training for experimentation and prototyping, to go from data to training at scale.

End-to-end notebook workflows

Using Colab Enterprise or Agent Platform Workbench you can implement your training and deployment workflows on Agent Platform from one place.

Key features

Key features

Colab Enterprise

Colab Enterprise combines the notebook developed by Google Research and used by over 7 million data scientists with Google Cloud enterprise level security and compliance. Get started quickly with a zero-config, serverless, and collaborative environment. 

AI-powered code assistance features like code completion and code generation make it easier to build AI/ML models in Python, reducing the need to write repetitive code, so you can focus on your data and models.

Agent Platform Workbench

Agent Platform Workbench provides a JupyterLab experience and advanced customization capabilities. 

Fully managed compute

Agent Platform Notebooks provide fully managed, scalable, enterprise-ready compute infrastructure with security controls and user management capabilities.

Interactive data and ML experience

Explore data and train ML models with easy connections to Google Cloud's big data solutions.

Portal to complete end-to-end ML training

Develop and deploy AI solutions on Agent Platform with minimal transition.

Documentation

Technical resources

Google Cloud Basics

Colab Enterprise documentation

Explore Colab Enterprise features and create a notebook to get started.

Google Cloud Basics

Agent Platform Workbench documentation

Learn more about Agent Platform Workbench. 

Google Cloud Basics

Gemini Enterprise Agent Platform documentation

Explore Agent Platform product documentation, from introductory to advanced.

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Step-by-step guide
Reference architecture
Available pre-built solutions
This service was built with Gemini. You must be 18 or older to use it. Do not enter sensitive, confidential, or personal info.

All features

All features

Simplified data access

Extensions will seamlessly connect to the entire data estate including BigQuery, Data Lake, Managed Service for Apache Spark, and Spark. Seamlessly scale up or scale out depending on your analytic and AI needs.

Explore data sources using a catalog

Write SQL, Spark queries from a syntax-aware, auto-complete enabled notebook cell.

Data visualization

Integrated, intelligent visualization tools will provide easy insights into data. 

Hands-off, cost-effective infrastructure

All aspects of the compute are managed. Idle timeout and auto shutdown will optimize total cost of ownership.

Enterprise security, simplified

Out-of-the-box Google Cloud security controls. Single sign-on and simple authentication to other Google Cloud services.

Data Lake and Spark in one place

Whether you use TensorFlow, PyTorch, or Spark, you can run any engine from Agent Platform Workbench. 

Deep Git, training, and MLOps integration

With few clicks, plug notebooks into established Ops workflows. Use notebooks for distributed training, hyper-parameter optimization, or scheduled or triggered continuous training. Deep integration with Agent Platform services brings MLOps into the notebook without the need to rewrite code or new workflows.

Seamless CI/CD

Kubeflow Pipelines integration to use Notebooks as an ideal, tested, and verified deployment target. 

Notebook viewer

Share output of periodically updated notebook cells for reporting and bookkeeping purposes.

Pricing

Pricing

Colab Enterprise pricing details.

Agent Platform Workbench pricing details.

Pricing models are based upon compute and services based on the infrastructure you use, as well as other services consumed from within Agent Platform Notebooks.

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