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Furthering Private AI Compute with secure, server-side memory

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By combining hardware-enforced secure enclaves, encrypted channels, and per-user databases shielded by device-derived encryption keys, this architecture ensures your data stays fully private and under your control.

Google Private AI Compute Team.

Key facts

Summary

A technical update on their Private AI Compute architecture, which will enable persistent, cross-device AI memory with on-device privacy standards. AI is becoming more capable and intuitive, remembering what matters, understanding the world around you, and acting at your direction. With this new technical capability, a new persistent memory layer will be able to function like a secure digital vault in the cloud. The diagram below shows how this update to Private AI Compute will work. This evolution is necessary to meet the computing needs of the AI era.

Read full article at Google DeepMind →

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