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Cloud & Infrastructure
Google Cloud Blog·Jun 23·5 min read
Verifiable, private AI: Google Cloud expands Confidential Computing frontiers
TL;DR
Sensitive data used in AI requires protection to ensure privacy and integrity. Google Cloud has introduced Confidential VMs and Confidential GKE Nodes utilizing NVIDIA RTX PRO 6000 GPUs to enhance Confidential Computing.
✦ Why It Matters
Engineers can leverage Confidential VMs to enhance data privacy in AI applications.
Key Takeaways
- Utilize Confidential G4 VMs for secure AI workloads.
- Implement Prompt Encryption SDKs for end-to-end data protection.
- Explore global availability of Confidential AI solutions.
- Leverage collaborations for enhanced privacy in cloud computing.
How It Works
Confidential G4 VMs utilize hardware-based Trusted Execution Environments (TEEs) to protect sensitive data during processing. The architecture encrypts data as it travels between the CPU and GPU, ensuring that only authorized workloads can access the data.
The open-source Prompt Encryption SDKs establish a secure channel for AI inference, encrypting prompts and responses throughout the entire lifecycle.