Titan hardware chip  |  Security  |  Google Cloud Documentation

Titan in depth: Security in plaintext | Google Cloud Blog

While there are no absolutes in computer security, we design, build and operate Google Cloud Platform (GCP) with the goal to protect customers' code and data. We harden our architecture at multiple layers, with components that include Google-designed hardware, a Google-controlled firmware stack, Google-curated OS images, a Google-hardened hypervisor, as well as data center physical security and services.

AI gateway capabilities  |  Apigee  |  Google Cloud Documentation

Learn how to use Apigee AI gateway features to govern, optimize, and scale AI traffic.

Google Gemini Enterprise: Vertex AI Rebrand at Cloud Next 26 | AI Automation Global

Google rebranded Vertex AI as Gemini Enterprise Agent Platform at Cloud Next 26. A2A protocol v1.0, Workspace Studio, 200+ models, 150 deployments.

TPU architecture  |  Google Cloud Documentation

Tensor Processing Units (TPUs) are application specific integrated circuits (ASICs) designed by Google to accelerate machine learning workloads. Cloud TPU is a Google Cloud service that makes TPUs available as a scalable resource.

Confidential AI Cloud · Private Inference on GPU TEE | Phala

Phala Cloud delivers confidential AI on TEE-protected GPUs — private LLM inference, sealed agents, and verifiable compute on Intel TDX + NVIDIA H100/H200.

Google AI Plans with Cloud Storage - Google One

Explore Google AI Plans. Access our most advanced AI, generate videos from text, and secure cloud storage.

Agent Gateway overview  |  Gemini Enterprise Agent Platform  |  Google Cloud Documentation

Secure and govern AI agent connectivity with Agent Gateway. Centralize access policies, mTLS, and Model Context Protocol (MCP) security for agent-to-agent and agent-to-tool interactions across diverse runtimes.

Google Gemini to run AI services for all the phones

During his Google Cloud Next 26 keynote CEO Thomas Kurian said: “We’re collaborating with Apple as their preferred cloud provider to develop the next generation of Apple Foundation Models based on Gemini technology. These models will now power future Apple Intelligence features including a more personalized Siri coming later this year.” This is a big

Google Sunsets Vertex AI, Launches Agent Control Plane | Awesome Agents

Google replaced Vertex AI with the Gemini Enterprise Agent Platform at Cloud Next 2026 - a full-stack control plane that assigns every agent a cryptographic ID and routes all tool calls through a central policy gateway.

Confidential Compute Open Network

Cocoon connects GPU power, AI, and Telegram’s vast ecosystem – all built on privacy and blockchain.

Tinfoil - Private AI

AI that keeps your data private at all times. Fast, powerful, and verifiable, thanks to secure hardware enclaves.

google-ai-edge/LiteRT

LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization

Together AI | The AI Native Cloud

Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.

Security research on Private Cloud Compute - Apple Security Research

Private Cloud Compute (PCC) fulfills computationally intensive requests for Apple Intelligence while providing groundbreaking privacy and security protections — by bringing our industry-leading device security model into the cloud. To build public trust in our system, we’re making it possible for researchers to inspect and verify PCC’s security and privacy guarantees by releasing tools and resources including a comprehensive PCC Security Guide, the software binaries and source code of key PCC components, and — in a first for any Apple platform — a Virtual Research Environment, which allows anyone to install and test the PCC software on a Mac with Apple silicon.

Private Cloud Compute: A new frontier for AI privacy in the cloud - Apple Security Research

Secure and private AI processing in the cloud poses a formidable new challenge. To support advanced features of Apple Intelligence with larger foundation models, we created Private Cloud Compute (PCC), a groundbreaking cloud intelligence system designed specifically for private AI processing. Built with custom Apple silicon and a hardened operating system, Private Cloud Compute extends the industry-leading security and privacy of Apple devices into the cloud, making sure that personal user data sent to PCC isn’t accessible to anyone other than the user — not even to Apple. We believe Private Cloud Compute is the most advanced security architecture ever deployed for cloud AI compute at scale.