Advancing Private AI Compute with secure, server-side memory
A technical update on our Private AI Compute architecture, which will enable persistent, cross-device AI memory with on-device privacy standards.
Key points
- Privacy and trust are core to making that possible, ensuring your data stays private and protected as AI systems evolve to provide more continuous assistance across your devices.
- Today, we are sharing how we will bring private, server-side memory to our Private AI Compute platform.
- With this new technical capability, a new persistent memory layer will be able to function like a secure digital vault in the cloud.
- That space, or “secure enclave,” temporarily decrypts your data in isolated memory to handle the request, saves any new context, and immediately encrypts it, keeping your information private as if it never left your device.
Sources (1)
- [1]Advancing Private AI Compute with secure, server-side memoryGoogle DeepMind Blog · Sep 23, 04:00 PM
A technical update on our Private AI Compute architecture, which will enable persistent, cross-device AI memory with on-device privacy standards.
Privacy and trust are core to making that possible, ensuring your data stays private and protected as AI systems evolve to provide more continuous assistance across your devices.
Extractive summary: sentences quoted from the sources.
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