Vertex AI Notebooks
Choose from Colab Enterprise or Vertex AI Workbench. Access every capability in Vertex AI 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 Vertex AI services
Benefits
Easy exploration and analysis
Simplified access to data and in-notebook access to machine learning with BigQuery, Dataproc, Spark, and Vertex AI integration.
Rapid prototyping and model development
Take advantage of the power of infinite compute with Vertex AI Training for experimentation and prototyping, to go from data to training at scale.
End-to-end notebook workflows
Using Colab Enterprise or Vertex AI Workbench you can implement your training and deployment workflows on Vertex AI 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.
Vertex AI Workbench
Vertex AI Workbench provides a JupyterLab experience and advanced customization capabilities.
Fully managed compute
Vertex AI 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 Vertex AI with minimal transition.
Documentation
Technical resources
Colab Enterprise documentation
Vertex AI Workbench documentation
Vertex AI documentation
Not seeing what you’re looking for?
All features
All features
| Simplified data access | Extensions will seamlessly connect to the entire data estate including BigQuery, Data Lake, Dataproc, 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 |