Deploy

Automatically transform Jupyter Notebook Code to Deployable Code

Ship internal or public AI apps, both batch and real-time apps

Seamlessly deploy models to any cloud provider
Seamlessly deploy models to any cloud provider, with options for public or private access.
How it works
Based on the type of package, an optimal deployment plan is selected to ensure smooth setup. Models can be deployed to any cloud provider of your choice, with full control over accessibility—public or private.

Each deployment generates a reusable pipeline, making future deployments efficient and consistent.
Why this is different?
This feature simplifies multi-cloud deployment with flexible accessibility options, all in a single, integrated workflow. The reusable deployment pipelines save time and effort, allowing teams to iterate rapidly and maintain control over each deployment stage.

Meet your co-pilot

Yo, Gamma here, what’s good, when last did you get a model to production ? Let’s change that!
Gamma
ML Engineer
Your ML Engineer Co-Pilot manages model packaging, deployment, and maintains continuous learning pipelines for monitoring and observability.

Build AI with AI and go from prototype to deployment in days