Reusable components
Shared building blocks in place of one-off pipelines.
MLOps Accelerator for Databricks
A standard route from model to production on Databricks
MLOps Accelerator for Databricks
- Phase
- Scale
- Area
- Applied AI
- Type
- Global Offering
About
What it is
A framework that standardizes how models move from development to production on Databricks, and how they are run afterwards. You get reusable components, automated CI/CD deployment and governed model lifecycle practices.
Built for teams on Databricks with working AI and ML pilots that need reliable production operation.
What you get
One consistent way to take models into production and keep them under control.
Automated CI/CD
Automated deployment in place of manual releases.
A governed model lifecycle
Versioning, monitoring and rollback as standard practice, in place of ad hoc tracking.
Standardize your path to production
Give your models one consistent route to production on Databricks. Tell us where you are and we will show how MLOps Accelerator fits.