“As organizations deploy AI across increasingly complex cloud, on-premises, and agentic environments, protecting sensitive data is critical. Enterprises must also ensure that AI systems operate securely and consistently with their policies. Google Cloud Confidential G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell GPUs provide a powerful foundation for privacy-preserving AI and AI operations. Confidential Core AI builds on Google Cloud to transform enterprise principles, policies, and operating requirements into real-time safeguards that monitor and govern AI agents, models, data, and tools. Together, these capabilities enable organizations to scale trusted AI on Google Cloud while maintaining control, confidentiality, and accountability.” – Taher Behbehani, Founder and CEO, Confidential Core AI
Additional benefits for enterprise AI workloads include:
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End-to-end confidentiality and isolation: Encrypt data and model parameters in hardware-enforced execution environments to shield intellectual property and customer inputs from host system administrators, hypervisors, and access by cloud providers.
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Verifiable cryptographic trust: Use hardware-rooted remote attestation to verify code, platform configuration, and environment integrity before releasing sensitive datasets and running workloads.
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No code refactoring: Deploy models out of the box using standard Ubuntu OS images, NVIDIA drivers, and NVIDIA CUDA-X libraries without application changes or custom builds.
For Polaris Cloud, this ease of deployment was transformational.
“Polaris builds workspaces for AI agents, and our customers need to know where an agent’s work actually ran and that it was cryptographically isolated along the way. Google Cloud Confidential G4 has been a game changer for that. We get hardware-backed provenance from the NVIDIA RTX PRO 6000 Blackwell GPU, which we bind into the receipt customers get back with their results. Virtually nothing else changed: same G4 image, same NVIDIA driver, same container runtime, one flag at launch, same performance. Overnight it upgraded our customer promise from ‘we run your agent’ to ‘every workload you run with us is verifiable.” – Fred Esere, Founder and CEO, Polaris Cloud
“Enterprises need to put their most valuable data to work with AI while protecting it during processing. NVIDIA Confidential Computing brings hardware-backed protection to GPU-accelerated workloads, helping safeguard sensitive data and proprietary models while in use. Together with Google Cloud, we’re bringing NVIDIA Blackwell performance and these security capabilities to Confidential G4 VMs so organizations can scale production AI with high performance and verifiable protection.” – Dave Salvator, Director of Accelerated Computing Products, NVIDIA
