Perplexity Computer uses cloud AI and local models on Mac, keeping sensitive files and information on the device.
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.”
Portable Computer: Local-First AI
Run Perplexity Computer locally on NVIDIA DGX Spark. Private, on-device work with cloud escalation when needed.
Mount Thor — AI Execution Environments on Apple Hardware
Managed macOS environments for AI workloads that require native desktop access, persistent state, or model inference on Apple silicon.
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.
Personal Computer for Mac - Perplexity
Personal Computer for Mac. One keyboard shortcut opens an always-on AI that controls local files, native apps, and Comet browser. No uploads. No tab switching.
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...…
~𝔐𝔦𝔩𝔰𝔢𝔱 on Twitter / X
To catch up on the current state of @urbit, check out Hawk: a sort of "namespace computer", rethinking how you manage data on your personal cloud. Over the next 15 short videos, you'll see how it unlocks a fully programmable environment you control. pic.twitter.com/gcB4l1iY1Z— ~𝔐𝔦𝔩𝔰𝔢𝔱 (@0xsyru) December 21, 2024
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.
Locally AI - Run AI models locally on your iPhone, iPad, and Mac.
Run Llama, Gemma, Qwen, DeepSeek, and more on your iPhone, iPad, and Mac. Optimized for Apple Silicon. Offline. Private.
Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio
MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private…
local.ai — Charting the transition from cloud AI to local AI.
Independent benchmark quality and measured serving performance for local hardware you can buy.
Introducing Portable Computer
Perplexity's Portable Computer brings local-first AI to NVIDIA's DGX Spark.
EXO — Run frontier AI locally.
EXO connects your Macs and workstations into one local inference cluster. Run frontier AI locally.
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.