At Google Cloud, we’re committed to providing the most advanced, secure, and private infrastructure for the most demanding AI workloads, and partnering with a broad and diverse range of organizations to help them meet their AI workload needs.
We are thrilled to collaborate with Apple on its expanded Private Cloud Compute (PCC) systems announced this week at WWDC 2026. Working closely together, Apple and Google have built a serving platform on Google Cloud that meets the rigorous security, confidentiality, and transparency goals that Apple has for PCC. This achievement is a testament to the strong collaboration between our teams, as well as with Intel and NVIDIA.
Our commitment to privacy with Confidential Computing
Our collaboration with Apple is built on a foundation of deep commitment to privacy that leverages Google Cloud’s security and privacy technologies. At the heart of this collaboration is our Confidential Computing portfolio and our Titanium security architecture.
Titanium architecture, featuring our custom-designed Titan chip, provides a hardware root of trust that underpins the security and integrity of Google’s infrastructure and services. Confidential Computing builds on this secure foundation by helping ensure data is protected throughout the lifecycle, encrypted at rest, in transit, and crucially in use within hardware-based Trusted Execution Environments (TEEs).
By protecting data in use, Confidential Computing becomes a fundamental and foundational element for building trust in AI systems, providing verifiable integrity and isolation for sensitive workloads. Confidential Computing helps prevent unauthorized access because data remains encrypted and isolated.
Enabling Apple Private Cloud Compute on Google Cloud
We are proud to collaborate with Apple to extend the privacy and security properties of PCC infrastructure to Google Cloud. Our platform supports Apple’s PCC privacy commitments with a layered security approach built upon Google Cloud’s infrastructure, including:
- Google Cloud Confidential Computing: Our core Confidential Computing platform provides the hardware-based TEEs necessary for PCC. By leveraging Intel TDX (Trust Domain Extensions) and NVIDIA Confidential Computing, we provide hardware-based isolation for virtual machines, designed to create a highly secure and private environment where workloads can run with cryptographic assurances.
- Google Titanium security architecture and Titan chip: Google Titan chips are a key component in powering security and transparency posture for PCC infrastructure on Google Cloud. Deployed across our fleet, Titan establishes a strong hardware root of trust, helping to ensure the integrity of the boot process and the hardware platform itself.
- Intel TDX and NVIDIA Confidential Computing: Google Cloud leverages the security features on Intel CPUs and NVIDIA Blackwell GPUs to protect data-in-use during high-performance AI inference, helping ensure that the entire compute path – from CPU to GPU – is protected.
- Open-source transparency: With our commitment to verifiable security, Apple and Google have collaborated in engineering an open-source host stack specifically to support PCC’s transparency, enabling independent inspection and verification of the system’s security properties.
Together, these technologies help ensure that Apple PCC on Google Cloud meets requirements with enforceable protections, no privileged runtime access, and verifiable transparency.
Building the future of private AI infrastructure
Our collaboration with Apple represents a significant milestone in further strengthening a secure cloud for AI by building on technologies and standards from Apple, Google Cloud, Intel, and NVIDIA. By ensuring that every layer of the stack — both hardware and software — contributes to a verifiable and secure system, we’ve created an advanced platform that is designed to uphold the stringent standards of user privacy and data security that PCC architecture demands.
The advancements built through this collaboration will benefit all Google Cloud customers. We are committed to continuous improvement and offering more transparent, secure, resilient platforms for all types of workloads, especially those handling AI and sensitive data.
You can learn more about Confidential Computing here.
