# AI PC Directory

> A directory of the runtimes, silicon and platforms that run AI models on the device itself rather than in someone else's data centre. Generated from a verified catalogue, links checked.

Site: https://aipcdirectory.com/
Listings: 8
Updated: 2026-09-11

## What this site is
On-device inference is the part of AI that does not send your data anywhere. This is a directory of the runtimes, the neural accelerators inside consumer hardware, and the platform layers that make a phone or laptop run a model locally.

## Machine-readable data
- https://aipcdirectory.com/entries.json  — the full listing set as JSON (name, url, category, blurb, tags).
  Stable shape. Attribution appreciated; a link back to the listing page is the only ask.

## Editorial policy
Listings are editorial and unpaid. Inclusion is not an endorsement. Outbound links are
checked to resolve before publication. Advertising is labelled and never determines
editorial placement.

## Categories
- On-device & AI PC

## Questions this site answers directly

### What does on-device AI actually mean?
The model runs on your phone, laptop or an embedded device instead of on a server. Nothing about the request leaves the hardware, which removes both the round trip and the privacy question at the same time.

### What is an NPU and do I need one?
A neural processing unit is silicon dedicated to the maths models need, sitting alongside the CPU and GPU. It matters most for battery life: an NPU does the same inference at a fraction of the power, which is why it appears in phones and laptops rather than in servers.

### Why is on-device slower than a cloud API?
Consumer hardware has far less memory bandwidth than a data-centre accelerator, and the models that fit are smaller. Expect capable rather than frontier results. The trade is latency and privacy against raw capability.

### Is my data really private on-device?
Only if the application actually keeps it there. Several vendors run a hybrid model that silently escalates harder requests to a server. Check the vendor's own description of when it leaves the device rather than assuming the label covers everything.

## Contact
privacy@aipcdirectory.com · legal@aipcdirectory.com