ZenML abstracts away the infrastructure complexity that is necessary to transition machine learning to production. Simply run and test pipelines locally, and with one command, run the same pipelines on the cloud. No more docker or secret management headaches.
ZenML is available as a simple pip package that lets you run and track pipelines locally
Define infrastructure as stack components independent of your code
Run any code on any stack with minimum fuss
Connect your infrastructure securely
Use connectors to establish a secure and easy connection to your production infrastructure.
Keeps the complexity of authentication and authorization away from your code.
Deploy MLOps infrastructure with one command using stack recipes.
Production-ready from Day 0
ZenML tracks everything required to reproduce local environment in production — data, pip dependencies, configs, you name it.
Bring your own secret backend and manage all your secrets securely in one place.
Let ZenML handle the pain of packaging your code into docker images ready for production.
ZenML offers the capability to build end-to-end ML workflows that seamlessly integrate with various components of the ML stack, such as different providers, data stores, and orchestrators. This enables teams to accelerate their time to market by bridging the gap between data scientists and engineers, while ensuring consistent implementation regardless of the underlying technology.
Harold Giménez
SVP R&D at HashiCorp
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No new paradigms - Bring your own tools and infrastructure
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