Introducing mlstacks: a refreshed way to deploy MLOps infrastructure
ZenML Blog » MLOps
by
1y 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
Visit website
Launching MLOps Platform Sandbox: A Production-Ready MLOps Platform in an Ephemeral Environment
ZenML Blog » MLOps
by
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
Visit website
How to get the most out of data annotation
ZenML Blog » MLOps
by
2y 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
Visit website
Need an open-source data annotation tool? We've got you covered!
ZenML Blog » MLOps
by
2y ago
We put together a list of 48 open-source annotation and labeling tools to support different kinds of machine-learning projects ..read more
Visit website
Podcast: ML Engineering with Ben Wilson
ZenML Blog » MLOps
by
2y 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
Visit website
Serverless MLOps with Vertex AI
ZenML Blog » MLOps
by
2y ago
How ZenML lets you have the best of both worlds, serverless managed infrastructure without the vendor lock in ..read more
Visit website
Move over Kubeflow, there's a new sheriff in town: Github Actions ?
ZenML Blog » MLOps
by
2y 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
Visit website
How to run production ML workflows natively on Kubernetes
ZenML Blog » MLOps
by
2y ago
Getting started with distributed ML in the cloud: How to orchestrate ML workflows natively on Amazon Elastic Kubernetes Service (EKS ..read more
Visit website
ZenML sets up Great Expectations for continuous data validation in your ML pipelines
ZenML Blog » MLOps
by
2y 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
Visit website
Deploy your ML models with KServe and ZenML
ZenML Blog » MLOps
by
2y ago
How to use ZenML and KServe to deploy serverless ML models in just a few steps ..read more
Visit website

Follow ZenML Blog » MLOps on FeedSpot

Continue with Google
Continue with Apple
OR