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KitOps

Bridge the gap between ML and Application teams

Kit is an open source MLOps project that packages your model, datasets, code, and configuration so data scientists and developers can use their preferred tools while collaborating effortlessly.

How to Turn Your OpenShift Pipelines Into an MLOps Pipeline

How to Turn Your OpenShift Pipelines Into an MLOps Pipeline

51
Comments
8 min read
How to Use KitOps with MLflow

How to Use KitOps with MLflow

30
Comments
6 min read
Jozu Hub vs. Docker Hub? Which One Works Best for AI/ML?

Jozu Hub vs. Docker Hub? Which One Works Best for AI/ML?

29
Comments
7 min read
Deploying AI Projects Through a Jenkins Pipeline

Deploying AI Projects Through a Jenkins Pipeline

61
Comments 2
7 min read
20 Open Source Tools I Recommend to Build, Share, and Run AI Projects

20 Open Source Tools I Recommend to Build, Share, and Run AI Projects

69
Comments
14 min read
The Fastest Way to Start Your AI Project–Quickstart ModelKits

The Fastest Way to Start Your AI Project–Quickstart ModelKits

69
Comments
5 min read
AI Security: How to Protect Your Projects with Hardened ModelKits

AI Security: How to Protect Your Projects with Hardened ModelKits

45
Comments
7 min read
KitOps Community Newsletter #0002

KitOps Community Newsletter #0002

41
Comments
5 min read
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