Snowflake Notebooks
An interactive development environment for AI and data teams to perform mission-critical workloads end to end in Snowflake.
Boost productivity and streamline your data workflows
Explore and Experiment
Explore, analyze and visualize data using Python and SQL. Experiment and iterate on your AI/ML models directly in your notebook.
Develop faster and smarter at scale
Develop scalable data pipelines and transformations. Plus, use AI-powered editing features for faster, more efficient development.
Snowflake Notebooks help accelerate ML workflows. The seamless integration of experiment tracking with Weights & Biases directly within notebooks eliminates context switching and streamlines the entire machine learning lifecycle for building and deploying models.”
Venky Yerneni
Manager, Solution Architecture, Weights & Biases
Develop ML models out of the box
Simplified ML Model Development
Easily create ML models from Snowflake Notebooks using pre-packaged environments, including for Python and deep learning frameworks, with integration to Snowflake ML.
Scale compute effortlessly
Access distributed processing with CPU and GPU compute options out of the box without any manual setup or maintenance with container runtime (in private preview).
Help teams collaborate better, from prototype to production
Automate with confidence
Schedule data processing, model training and report generation for efficient workflows. Automate repetitive tasks to minimize error and increase consistency in your data processes, freeing your teams to focus on high-impact work.
Improve collaboration with Git
Collaborate and track changes with Git integration. Read and write access enables everyone to work on the latest version of your notebooks. Version control safeguards the integrity, accessibility and long-term value of your analyses.
Snowflake Notebook Resources
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Try Snowflake free for 30 days and experience the AI Data Cloud that helps eliminate the complexity, cost and constraints inherent with other solutions.