ZenML Blog » MLOps
64 FOLLOWERS
The latest news, opinions, and technical guides from ZenML. It is an extensible, open-source MLOps framework for creating portable, production-ready MLOps pipelines. It's built for data scientists, ML Engineers, and MLOps Developers to collaborate as they develop to production.
ZenML Blog » MLOps
8M ago
We released an updated way to deploy MLOps infrastructure, building on the success of the `mlops-stack` repo and its stack recipes. All the new goodies are available via the `mlstacks` Python package ..read more
ZenML Blog » MLOps
1y ago
An easy way to deploy an ephemeral MLOps stack, inclusive of ZenML, Kubeflow, MLflow, and Minio Bucket. This one-stop sandbox provides users an interactive playground to explore pre-built pipelines and effortlessly experiment with various MLOps tools, without the burden of infrastructure setup and management ..read more
ZenML Blog » MLOps
1y ago
I explain why data labeling and annotation should be seen as a key part of any machine learning workflow, and how you probably don't want to label data only at the beginning of your process ..read more
ZenML Blog » MLOps
1y ago
We put together a list of 48 open-source annotation and labeling tools to support different kinds of machine-learning projects ..read more
ZenML Blog » MLOps
1y ago
This week I spoke with Ben Wilson, author of 'Machine Learning Engineering in Action', a jam-backed guide to all the lessons that Ben has learned over his years working to help companies get models out into the world and run them in production ..read more
ZenML Blog » MLOps
1y ago
How ZenML lets you have the best of both worlds, serverless managed infrastructure without the vendor lock in ..read more
ZenML Blog » MLOps
1y ago
This tutorial presents an easy and quick way to use GitHub Actions to run ML pipelines in the cloud. We showcase this functionality using Microsoft's Azure Cloud but you can use any cloud provider you like ..read more
ZenML Blog » MLOps
1y ago
Getting started with distributed ML in the cloud: How to orchestrate ML workflows natively on Amazon Elastic Kubernetes Service (EKS ..read more
ZenML Blog » MLOps
1y ago
ZenML combines forces with Great Expectations to add data validation to the list of continuous processes automated with MLOps. Discover why data validation is an important part of MLOps and try the new integration with a hands-on tutorial ..read more
ZenML Blog » MLOps
1y ago
How to use ZenML and KServe to deploy serverless ML models in just a few steps ..read more