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Version: v1.6.0

Release notes

v1.6.0 | January 31, 2026​

note

Breaking change: MLOPS Runtime does not exist for this version. A new runtime for H2O Hydrogen Torch is expected in the H2O AI Cloud Comet platform release (26.04.0).

Overview​

H2O Hydrogen Torch v1.6.0 focuses on infrastructure modernization, security compliance, and code base maintenance. This release brings FedRAMP compliance through security hardening, migrates to Python 3.12, and streamlines the platform by removing deprecated features. The major points of this release are as follows:

  • FedRAMP compliance: Chainguard base image and CVE mitigation for enhanced security
  • Infrastructure improvements: Demo datasets are now served via CDN for improved performance and reliability
  • Python 3.12: Upgraded code base from Python 3.10 to Python 3.12
  • Deprecations: Removed Neptune logging (deprecated service) and Graph modeling problem types

To learn more about the new release, observe the below subsections.

Infrastructure​

  • Improvement: Demo datasets now use CDN instead of the AWS S3 bucket directly.
    • Why?: This improves download performance and reliability when accessing demo datasets.
  • Improvement: H2O Hydrogen Torch now uses a Chainguard base image with CVE mitigation for FedRAMP compliance.
    • Why?: This ensures the platform meets federal security requirements and reduces vulnerability exposure.
  • Improvement: The H2O Hydrogen Torch code base has been upgraded from Python 3.10 to Python 3.12.
    • Why?: This brings performance improvements and access to the latest Python features and security updates.

Deprecations​

  • Deprecation: Neptune logging has been removed.
    • Why?: The Neptune service has been deprecated. Users should use alternative logging integrations.
  • Deprecation: Graph modeling problem types have been removed, including:
    • Graph node classification
    • Graph node regression
    • Why?: These problem types have been discontinued in this release.

Bug Fixes​

  • Fix: Resolved an issue with label handling in CustomDataset.
  • Fix: Fixed a data import crash that occurred when label columns contained non-string values.

Documentation​

  • New: All new features and settings for v1.6.0 have been documented.
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