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Edge AI Ops

This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.
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JavaScript

Edge AI Ops

Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
January 19, 2026
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
January 19, 2026
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
January 19, 2026
January 19, 2026
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.

Download

White arrow pointing right
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.

Download

White arrow pointing right
This repository demonstrates edge AI implementation using Harper as your data layer and compute platform. Instead of sending user data to distant AI services, we run TensorFlow.js models directly within Harper, achieving sub-50ms AI inference while keeping user data local.

Download

White arrow pointing right

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