Project 27:
The First Computer Designed by AI

custom circuit board

A single engineer designed and verified working computer using Quilter’s physics-driven AI in less than one week—a task that normally takes an entire quarter.

Compress One Quarter Into One Week

10x Your Hardware R&D Speed

An engineer using Quilter completed a full computer design with just 38.5 hours of human input, compared to 428 hours quoted by professional PCB designers for the same project. That 11x time compression doesn’t just lower cost—it rewrites the rhythm of R&D.

Hardware teams can now move from quarterly layout cycles to weekly learning loops, turning every design into an opportunity to test, iterate, and lead faster than competitors.

Compiler for Hardware Elevates the Engineer’s Métier

We chose to base our System-on-Module (SOM) + baseboard designs on the NXP i.MX 8M Mini evaluation platform. Lead engineer Ben Jordan prepared the design and constraints for the boards and submitted the jobs. Quilter ran parallel seeded runs with varied constraints, completing the layout in 27 hours, returning multiple ranked candidates.

Quilter took care of the repetitive design work while the engineer stayed in control. Automation handled placement, routing, and physics checks, freeing him to focus on firmware prep, documentation, and constraint refinement. Common supply-chain hiccups—a few connectors out of stock and a Wi-Fi module dropped—were resolved instantly, with no delay to iteration. Cleanup was minimal: PDN pours, via clusters, and minor footprint swaps—no rip-ups, no re-spins.

Running the Design Through Quilter

Project 27 proves Quilter’s physics-driven AI has crossed from concept to capability.

Core Architecture

Results

Human Design Hours with Quilter

38.5 hours

Human Design Hours without Quilter

428 hours

Quilter Runtime

27 hours (placement + routing + physics validation)

Routing Completion

98%

Bring-Up Result

First power-up success on both boards—no re-spins

In five years, manual PCB design will feel like compiling code by hand

Project 27 proves Quilter’s physics-driven AI has crossed from concept to capability

Technical Specifications: What the AI Actually Built

This project demonstrates Quilter’s ability to autonomously complete the complex, embedded computing hardware commonly used in automotive infotainment, safety, and machine-vision systems.

Core Architecture

Processor

NXP i.MX 8M Mini Quad (4 × Cortex-A53 @ 1.8 GHz)

Memory

2 GB LPDDR4 (32-bit bus width)

Storage

32 GB eMMC 5.1 (upgraded from 16 GB reference part)

Flash Memory

32 MB QSPI NOR Flash

Audio

24-bit / 192 kHz DAC, 3.5 mm headphone jack

Networking

10 / 100 / 1000 Mbps Ethernet

Expansion

M.2 connector supporting PCIe, UART, and PCM interfaces

Board Design

Form Factor

Two-board system: System-on-Module (SOM) + Baseboard

PCB Stack-Up

8-layer HDI architecture, manufactured by Sierra Circuits

Trace / Space Geometry

2 mil (SOM) / 3.5 mil (Baseboard)

Component Count

843 total

Pin Count

5,141 total

Placement & Routing

Fully automated by Quilter AI

Manufactured and Assembled with Sierra Circuits

We partnered with Sierra Circuits for fabrication and assembly. The baseboard was completed on a standard 3-day fab + 3-day assembly schedule, while the SOM’s 2 mil HDI geometry required a longer lead time through Sierra’s advanced HDI precision and quick turnaround process line.
We paid standard commercial rates, used the same ordering process available to any customer, and received no special treatment, demonstrating that anyone can reproduce these results using off-the-shelf services.

Project Gallery

See the physical proof of autonomous hardware design, from AI-generated candidates to the first successful boot.