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.
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.
Colab Enterprise documentation
Explore Colab Enterprise features and create a notebook to get started.
Vertex AI Workbench documentation
Learn more about Vertex AI Workbench.
Vertex AI documentation
Explore Vertex AI product documentation, from introductory to advanced.
|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||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 Vertex AI 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 Vertex AI 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.|