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Ability to move fully trained STT models between separate instances (i.e. DEV vs. PROD or separate accounts)

  • Customers for best practice reasons keep environments separate (DEV vs. PROD) for security, performance, testing & availability of the model. 
  • Training STT models can take hours to train.
  • Not utilizing fully trained models results in delays in providing updated STT models in PROD
  • Duplication of effort in DEV & PROD, increases operational impact & costs.
  • Sep 11 2018
  • Future Consideration
Why is it useful?
Who would benefit from this IDEA? Customer DEV teams need to quickly move fully trained STT models between instances (DEV to PROD)
How should it work?
Idea Priority
Priority Justification
Customer Name
Submitting Organization
Submitter Tags
  • Attach files
  • DEBRA CARROLL commented
    September 11, 2018 17:34

    Service may be unavailable during cut over which would impact Customer's using this service experience

  • Tox Toczala commented
    September 11, 2018 21:40

    Having something that could be incorporated into a DevOps pipeline will move STT from a "curiosity" to something that we can claim we have a real SW engineering discipline around.  

    If this capability becomes available, then service availability in ANY environment could be guaranteed using a simple blue/green DevOps deployment technique.

  • CHRIS CRANE commented
    September 24, 2018 04:13

    This feature is currently in needed, especially by customers consuming STT with acoustic models which can be time consuming to retrain. From a dev ops governance standpoint customers need a way to cascade or copy the binary files only to insure all copies perform identically to the original.

  • Andy ST FLOUR commented
    September 27, 2018 13:29


    The ability to propagate models through the various dev/ops stages is something Enterprise clients with rigid change control and management are looking for.  

  • Admin
    Marco Noel commented
    November 14, 2019 20:28

    This is under investigation for 2020