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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.

Understanding the MLOps Lifecycle

Understanding the MLOps Lifecycle

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9 min read
Platform Engineering vs. MLOps: Key Comparisons

Platform Engineering vs. MLOps: Key Comparisons

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5 min read
How to Turn Your OpenShift Pipelines Into an MLOps Pipeline

How to Turn Your OpenShift Pipelines Into an MLOps Pipeline

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8 min read
How to Use KitOps with MLflow

How to Use KitOps with MLflow

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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?

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7 min read
Deploying AI Projects Through a Jenkins Pipeline

Deploying AI Projects Through a Jenkins Pipeline

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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

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

The Fastest Way to Start Your AI Project–Quickstart ModelKits

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5 min read
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