MLOps TensorFlow Distributed

mlops

tf.distribute strategies for TensorFlow starters with CPU-single fallback (no new deps).

MLOps

Distributed

TensorFlow

About this extension

This extension enhances your project with MLOps TensorFlow Distributed functionality. It's designed to integrate seamlessly with compatible templates and provide additional features to improve your development experience.

The MLOps TensorFlow Distributed extension is compatible with mlops-tensorflow templates, making it versatile for different project types.

Key Benefits

Seamless integration with compatible templates
Enhanced development experience
Additional features specific to MLOps TensorFlow Distributed
Well-documented and maintained
Community-supported and regularly updated

Quick Start

Add this extension to your project

$ uvx create-awesome-python-app \\

--template [template-name] \\

--addons mlops-tensorflow-distributed

Extension Details

Compatible withmlops-tensorflow

Categorymlops

Compatible Templates1

Compatible Templates

Use MLOps TensorFlow Distributed with these templates to enhance your project

mlops

MLOps TensorFlow Starter

CPU-first TensorFlow MLOps pipeline with YAML configs, step architecture, local MLflow, SavedModel export, and batch/FastAPI serving.

Type: mlops-tensorflow

View All Templates

Ready to Enhance Your Project?

Add MLOps TensorFlow Distributed to your template and start building

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