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
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
Colab Enterprise documentationExplore Colab Enterprise features and create a notebook to get started.
Vertex AI Workbench documentationLearn more about Vertex AI Workbench.
Vertex AI documentationExplore Vertex AI product documentation, from introductory to advanced.
Not seeing what you’re looking for? View all product documentationGenerate a solution
What problem are you trying to solve?
What you'll get:
check_smallStep-by-step guide
check_smallReference architecture
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This service was built with
Vertex AI. You must be 18 or older to use it. Do not enter sensitive, confidential, or personal info.
All features
All features Simplified data accessExtensions 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 catalogWrite SQL, Spark queries from a syntax-aware, auto-complete enabled notebook cell.
Data visualizationIntegrated, intelligent visualization tools will provide easy insights into data.
Hands-off, cost-effective infrastructureAll aspects of the compute are managed. Idle timeout and auto shutdown will optimize total cost of ownership.
Enterprise security, simplifiedOut-of-the-box Google Cloud security controls. Single sign-on and simple authentication to other Google Cloud services.
Data Lake and Spark in one placeWhether you use TensorFlow, PyTorch, or Spark, you can run any engine from Vertex AI Workbench.
Deep Git, training, and MLOps integrationWith 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/CDKubeflow Pipelines integration to use Notebooks as an ideal, tested, and verified deployment target.
Notebook viewerShare output of periodically updated notebook cells for reporting and bookkeeping purposes.
Pricing
PricingColab Enterprise pricing details.
Vertex AI 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 Vertex AI notebooks.
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