On this page
Integrate the power of Google Cloud's scalable infrastructure and managed services with ZenML's MLOps capabilities. This integration enables seamless orchestration of ML workflows on Google Cloud, leveraging Vertex AI Pipelines for serverless, production-ready pipeline execution.
Features with ZenML
- Effortless orchestration of ZenML pipelines on Google Cloud's Vertex AI Pipelines
- Serverless, scalable execution of ML workflows without provisioning infrastructure
- Seamless integration with Google Cloud's managed services for data storage, processing, and model serving
- Enhanced visibility and monitoring of pipeline runs through Vertex AI's intuitive UI
- Simplified deployment and reproducibility of ML workflows across Google Cloud environments
Main Features
- Scalable, serverless infrastructure for ML workloads
- Managed services for data storage, processing, and model serving
- Vertex AI Pipelines for orchestrating end-to-end ML workflows
- Integrated monitoring, logging, and visualization of ML pipeline runs
- Seamless integration with Google Cloud's AI Platform for model training and deployment
How to use ZenML with Google Cloud
# Once registered in the frontend, this is all you need to do
# for all your pipelines to be run on gcp
zenml integration install gcp
zenml stack set ...
