Apple Private Cloud Compute

MacRumors.com on Twitter / X

Google Announces Its Own Version of Apple's Private Cloud Compute https://t.co/7yTagMwDWp pic.twitter.com/2WmKphBc32— MacRumors.com (@MacRumors) November 12, 2025

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.

Thread by @matthew_d_green on Thread Reader App

@matthew_d_green: So Apple has introduced a new system called “Private Cloud Compute” that allows your phone to offload complex (typically AI) tasks to specialized secure devices in the cloud. I’m still trying to wo...…

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.

Apple Intelligence Promises Better AI Privacy. Here’s How It Actually Works

Private Cloud Compute is an entirely new kind of infrastructure that, Apple’s Craig Federighi tells WIRED, allows your personal data to be “hermetically sealed inside of a privacy bubble.”

Darkbloom — Cost-Efficient Private AI Inference on Verified Macs

Encrypted inference on hardware-verified Apple Silicon. Comparable model performance, operator-blind privacy, and about 50% lower cost.

Darkbloom — Cost-Efficient Private AI Inference on Verified Macs

Encrypted inference on hardware-verified Apple Silicon. Comparable model performance, operator-blind privacy, and about 50% lower cost.

Darkbloom — Cost-Efficient Private AI Inference on Verified Macs

Encrypted inference on hardware-verified Apple Silicon. Comparable model performance, operator-blind privacy, and about 50% lower cost.

Combining Machine Learning and Homomorphic Encryption in the Apple Ecosystem

At Apple, we believe privacy is a fundamental human right. Our work to protect user privacy is informed by a set of privacy principles, and…

Darkbloom Explained

A plain language guide to Darkbloom a private AI inference network that utilizes idle Apple Silicon Mac computing power.

Introducing Hybrid Compute on Mac

Perplexity Computer uses cloud AI and local models on Mac, keeping sensitive files and information on the device.

Pricing | Runpod

GPU cloud computing at up to 80% less than hyperscalers. Explore pricing for on-demand Pods, Serverless, Clusters, and Network Storage.

Introducing the Third Generation of Apple’s Foundation Models

Our next generation of Apple Intelligence is centered around our users, integrated deeply into our operating systems, and powered by a bold…

Google Cloud release notes  |  Google Cloud Documentation

The following release notes cover the most recent changes over the last 60 days. For a comprehensive list of product-specific release notes, see the individual product release note pages.

Jordan Singer on Twitter / X

the on-device foundation model in iOS 26 is a big dealbillions of parameters in all of our pockets. private, offline, and free (for users and developers)it's reminiscent to me of the GPT-3 beta, where its early but on the precipice of mass innovation— Jordan Singer (@jsngr) June 13, 2025