"The company said it has built Private AI Compute to "unlock the full speed and power of Gemini cloud models for AI experiences, while ensuring your personal data stays private to you and is not accessible to anyone else, not even Google.""
"Private AI Compute has been described as a "secure, fortified space" for processing sensitive user data in a manner that's analogous to on-device processing but with extended AI capabilities. It's powered by Trillium Tensor Processing Units (TPUs) and Titanium Intelligence Enclaves (TIE), allowing the company to use its frontier models without sacrificing on security and privacy."
""Each workload requests and cryptographically validates the workload credentials of the other, ensuring mutual trust within the protected execution environment," Google explained. "Workload credentials are provisioned only upon successful validation of the node's attestation against internal reference values.""
Private AI Compute runs AI queries in a secure cloud environment that preserves user data privacy and prevents Google access. The system uses Trillium TPUs and Titanium Intelligence Enclaves to combine cloud compute with on-device-style privacy assurances. CPU and TPU workloads run on AMD-based trusted nodes providing a hardware Trusted Execution Environment that encrypts and isolates memory from the host. Only attested workloads can run, administrative access to workloads is cut off, and nodes are protected against physical data exfiltration. Peer-to-peer attestation and encryption ensure data is decrypted and processed only inside the secure environment.
Read at The Hacker News
Unable to calculate read time
Collection
[
|
...
]