Model Tracking

Easiest way to deploy MLflow on Your Data Stack

What is MLflow?

MLflow is an open-source platform for managing the entire machine learning lifecycle, including experiment tracking, model packaging and deployment, and model management. It is flexible and scalable, and particularly useful for data scientists and organizations wanting to deploy machine learning models in a consistent and reliable way.

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Why is MLflow better on Shakudo?

Why is MLflow better on Shakudo?

Why deploy MLflow with Shakudo?

Stress-Free infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data and AI frameworks and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

Use data and AI products inside your infrastructure

Chat with one of our experts to answer your questions about your data stack, data tools you need, and deploying Shakudo on your cloud.
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