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# Local AI + Cloud AI Is INSANE - Hybrid Computer FULL Tutorial

**[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 12 min read · 0 upvotes · 0 comments

## Summary

Perplexity shipped a new feature called hybrid compute inside its Mac desktop app (Perplexity Computer), which orchestrates tasks across a cloud frontier model and a local on-device model simultaneously. A privacy gate, powered by an open-sourced 0.6B parameter classifier called Pi Tracer, scans files for sensitive data (names, addresses, account numbers) before anything leaves the device, letting users keep private data local while still using cloud intelligence for research and reasoning. The video walks through the architecture (six-step task routing and obfuscation process) and a full setup tutorial, requiring a Pro/Max/Enterprise Perplexity plan, macOS 15+, and at least 24GB (ideally 32GB) unified memory, then demos it on a bank statement, a contract review, and a client risk analysis file.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=0F7fGYpqOZg>

## Questions this post answers

### What is Perplexity's hybrid compute feature and how does it protect private data?

Hybrid compute is a feature in Perplexity's Mac desktop app, released inside Perplexity Computer, that splits one task between a cloud frontier model and a local on-device model. A privacy gate using an open-sourced 0.6 billion parameter classifier called Pi Tracer scans files for personal information like names, addresses, and account numbers before anything leaves the device, letting sensitive work run locally while research happens in the cloud.

_Developers weighing cloud intelligence against data privacy can follow hybrid AI setups like this one on daily.dev._

### What are the minimum system requirements to run Perplexity's hybrid compute on a Mac?

You need macOS 15 or later, at least 24GB of unified memory with 32GB recommended for better performance, a Perplexity Pro, Max, or Enterprise plan, and the desktop application installed. Local model options available include Gemma 4 E4B for lower-end devices and Qwen 3.6 35 billion or Perplexity's own model for higher-end machines with more memory.

_Anyone sizing hardware for local AI workflows can track setup requirements like these on daily.dev._

### Which local models can I choose from when using Perplexity's hybrid compute mode?

Three local model options are available: Gemma 4 E4B, recommended for lower-end devices; Qwen 3.6 35 billion, suited to higher-end machines with more unified memory; and Perplexity's own in-house model. The choice depends on available hardware, with 32GB of unified memory cited as the sweet spot for decent local performance.

_Developers comparing local model options for privacy-sensitive tasks can follow these details on daily.dev._

## Similar posts on daily.dev

- [Perplexity splits AI inference between PCs and cloud to cut costs](https://daily.dev/posts/perplexity-splits-ai-inference-between-pcs-and-cloud-to-cut-costs-gopxpujxr) · The Next Web · 1 upvotes · 0 comments
- [Perplexity: Everything is Computer](https://daily.dev/posts/perplexity-everything-is-computer-8unfn0tjn) · The Register · 1 upvotes · 0 comments
- [Perplexity’s Personal Computer is now available everyone on Mac](https://daily.dev/posts/perplexity-s-personal-computer-is-now-available-everyone-on-mac-ords28isr) · TechCrunch · 3 upvotes · 0 comments

---

Tags: [#privacy](https://daily.dev/tags/privacy), [#mac](https://daily.dev/tags/mac), [#local-ai](https://daily.dev/tags/local-ai), [#perplexity](https://daily.dev/tags/perplexity)

[View this post on daily.dev](https://daily.dev/posts/local-ai-cloud-ai-is-insane---hybrid-computer-full-tutorial-kdtnpyuo0)

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