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Advancing Private AI Compute with secure, server-side memory
Private AI Compute gains persistent, cross-device memory with cloud-scale privacy
Google DeepMind announced an update to its Private AI Compute platform that adds persistent, server-side memory while maintaining on-device privacy standards.
The architecture uses hardware-enforced secure enclaves, double-encrypted channels, and device-derived encryption keys to allow AI models to retain context across devices without exposing user data to Google or others.
From the source
With this new technical capability, a new persistent memory layer will be able to function like a secure digital vault in the cloud. Under this model, the information needed to assist you is sealed within dedicated, encrypted storage, while the cryptographic keys required to unlock it are held exclusively on your personal devices — ensuring your data is inaccessible to anyone else, even Google.
deepmind.google
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