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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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Edge AI Ops

By
Ivan R. Judson, Ph.D.
January 19, 2026
By
Ivan R. Judson, Ph.D.
January 19, 2026
By
Ivan R. Judson, Ph.D.
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
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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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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

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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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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.
A man with short dark hair, glasses, and a goatee smiles slightly, wearing a black shirt in front of a nature background.
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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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