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OpenPCC: Open-Source Framework for Verifiably Private AI Inference

By

adam_gyroscope

6mo ago· 4 min readenCode

Summary

OpenPCC is an open-source framework for verifiably private AI inference that enables users to run AI models without exposing prompts, outputs, or logs. Inspired by Apple's Private Cloud Compute, it provides privacy through encrypted streaming, hardware attestation, and unlinkable requests while being fully open, auditable, and deployable on user infrastructure. The framework aims to become a transparent, community-governed standard for AI data privacy.

Key quotes

· 3 pulled
OpenPCC is an open-source framework for provably private AI inference, inspired by Apple's Private Cloud Compute but fully open, auditable, and deployable on your own infrastructure.
It allows anyone to run open or custom AI models without exposing prompts, outputs, or logs - enforcing privacy with encrypted streaming, hardware attestation, and unlinkable requests.
OpenPCC is designed to become a transparent, community-governed standard for AI data privacy.
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An open-source framework for verifiably private AI inference - openpcc/openpcc

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