Mar 17, 2025: Snowflake Notebooks on Container Runtime for AWS (General availability)

With this release, Snowflake Notebooks are now supported on Container Runtime on AWS commercial regions, including PrivateLink.

New features

  • Preconfigured ML environment: Base machine-learning runtime image with the most popular ML development packages pre-installed.

  • Scalable compute resources: Access to configurable CPU or GPU pools for resource-efficient model development.

  • Enhanced package management: Support for Pip and Conda Python package version upgrades.

  • Real-time resource monitoring: Hover over the Active button to view detailed CPU, GPU, and memory usage metrics.

  • Optimized GPU notebook storage: Notebooks running on GPU compute pools now use high-performance NVMe storage as the default boot device.

  • Maximize session uptime: Sessions run up to seven days (for example, long-running jobs) without maintenance disruptions.

For more information, see Notebooks on Container Runtime for ML.

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