Google Cloud announces significant innovations in Confidential Computing to enhance data privacy for AI deployments. Confidential Computing uses hardware-based Trusted Execution Environments (TEEs) to cryptographically protect data while it's being processed. Global scale Confidential AI capabilities now allow AI inference and fine-tuning with enforceable privacy guarantees. New Confidential G4 VMs with NVIDIA RTX PRO 6000 Blackwell GPUs are available globally, offering accessible Confidential AI. These VMs, powered by AMD EPYC CPUs and AMD SEV, protect data during processing and encrypt data transfer between CPU and GPU. Open-source Prompt Encryption SDKs provide end-to-end cryptographic protection for AI prompts and responses. Google Cloud is also collaborating with Apple to extend Apple's Private Cloud Compute on its platform, leveraging Confidential Computing and Intel TDX. Intel TDX is coming soon to C4 machine series Confidential VMs, providing hardware-isolated Trust Domains. Live Migration on C3D-based Confidential VMs is now generally available, enabling maintenance without workload interruption. Confidential Space, designed for secure multi-party computation, now integrates with Intel Trust Authority for independent verification. Additionally, Confidential Space now supports NVIDIA Hopper GPUs for secure, multi-party AI and machine learning workloads. These advancements aim to make Confidential Computing a foundational layer for secure collaboration and private AI innovation.