Release Notes for Cloud Models

Review the enhancements and fixes in the current release of Revit Cloud Models.

August 2025

Enhancements
  • Addressed potential security vulnerabilities.
  • Improved the reliability of our data management platform.
  • Improved response messaging for the RCM Public API: Get Linked Revit Files.

July 2025

Enhancements
  • Support new regional data offerings in UK, Germany, India, Japan, and Canada.

June 2025

Enhancements
  • Added a new API for retrieving metadata and signed download URLs of published Revit Cloud Models and their associated linked files.
  • Improved resiliency through enhanced diagnostic capabilities.
  • Improved resiliency through enhanced file upload validation.

May 2025

Enhancements
  • Improved the efficiency of configuring and deploying services and supporting components.
  • Improved security by automating the configuration and management of cross-service communication.

April 2025

Enhancements
  • Addressed potential security vulnerabilities.
  • Improved the reliability of a key service API used for Model Open and Reload Latest.
Fixes
  • Increased resiliency by improving the reliability of service startup.
  • Increased resiliency by improving file upload validation.

March 2025

Enhancements
  • Addressed potential security vulnerabilities.
  • Improved the service's ability to scale and respond to increases in demand.
Fixes
  • Fixed an issue where the Revit Cloud Model Upgrade page would not load for projects containing more than 15,000 total models (active and deleted).

February 2025

Enhancements
  • Addressed potential security vulnerabilities
  • Added support for regionalized configuration to more rapidly deploy to new regions.
  • Improved resiliency of how Revit Cloud Models calls other Autodesk services.
  • Enhanced service reliability and system resiliency during sudden traffic increases.

January 2025

Enhancements
  • Addressed potential security vulnerabilities.
Fixes
  • Fixed an issue that prevented customers from accessing projects when invited to a large number of projects from a single hub.