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Image by Kseniya Lapteva

Beta Program

Introducing Flux: Unlock distributed Machine learning operations

What is Flux?

Flux is a distributed processing platform that utilizes idle computational resources from consumer devices to efficiently handle machine learning tasks. It ensures data security with homomorphic encryption, making ML operations more accessible and cost-effective.

Model Compatibility

Flux supports a wide range of machine learning frameworks, including TensorFlow and Keras, allowing seamless integration and compatibility with various models and data types.

Cost-Effectiveness

By leveraging consumer devices, Flux significantly reduces the costs associated with machine learning operations, making it affordable and scalable for businesses.

Data Security

Utilizing homomorphic encryption, Flux ensures that data remains secure during processing, preventing unauthorized access to sensitive information.

Distributed Processing
 

Flux efficiently uses idle computational resources from consumer devices to perform machine learning tasks, enabling large-scale data processing in microtasks.

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