@dee_hw: Open Source AI Hardware I posted about building your own On-Premises Business AI Center and people are asking about the…

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open-source ai-hardware gpu-chassis on-premises build-guide github

Summary

A Twitter thread details an open-source 8-GPU chassis design for building an on-premises AI center, with all STEP files available on GitHub.

Open Source AI Hardware I posted about building your own On-Premises Business AI Center and people are asking about the housing. The 8-GPU chassis is open source too. Every plate, mount, screw. All the STEP files are on GitHub. Let's walk through the build: 🧵 https://t.co/cAKluObFrG
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Open Source AI Hardware

I posted about building your own On-Premises Business AI Center and people are asking about the housing.

The 8-GPU chassis is open source too. Every plate, mount, screw. All the STEP files are on GitHub.

Let’s walk through the build:

1/ In case you miss it, here is the original BOM thread:

2/ First, let’s lay out every part

Custom plates and panels: GPU plate, CPU plate, top, bottom, back, sides, side covers, PSU mount.

Boards: PSU, Ethernet, fan control, PCI bifurcation.

3/ Assemble the side panels

Each side has a Part 7 (frame) and Part 8 (cover). Build both. Install the dust filter.

Side panels carry the airflow and the side cover hides the fans. Designed for serviceability.

4/ Install all 12 fans

120mm fans across the frame. Connect every fan to the central control board.

4,600W of GPU heat plus dual CPUs and 4 PSUs. Airflow is not optional.

5/ Mount the PSU board

Place plastic spacers on the CPU plate first. Fix the PSU board down.

Don’t tighten the screws yet. You’ll align later.

6/ Install the Ethernet board into the PSU mount

Position the mount in the chassis.

The Ethernet board is integrated into the chassis design, not bolted on after.

7/ Assemble the GPU plate and supports

Place the GPU plate on top of the assembly. Add middle parts onto the bottom plate.

Set all support mounts in position.

Secure with M4 × 8mm screws.

8/ Install the back panel and 4 PSUs

Secure the back with M4 screws. Slide all four PSUs into position.

Connect them to the PSU board. Tighten down.

8,000W total. Redundancy if one fails.

9/ Install the motherboard and PCI bifurcation board

M4 × 15mm copper spacers, then the GENOA2D24G-2L+. Secure with M3 screws.

20mm plastic spacers under the PCI board, secured with M4.

This is what splits MCIO into PCIe Gen5 x16 for each of the 8 GPUs.

10/ Stand the assembly upright. Route every cable.

Connect the PCI board to the motherboard. Connect motherboard power. Connect MCIO cables to the adapters.

Zip-tie everything.

11/ Install the top panel and the 8 GPUs

Top panel secured with M4 screws and the support plate.

Install each GPU. Secure them to the support rail.

This is where it starts looking real.

12/ Connect GPU power. Place the fan board.

Organize and connect 8 GPU power cables. 600W each.

Connect the fan board cable, slot the board into position.

13/ Secure both side panels with M4 screws.

Connect the main power supply.

Done.

14/ We open source all the STEP files for every part.

Fork the design and modify it for your own configuration.

Open source AI hardware is the way!

Open source AI hardware is the way!

oh wow 2014 that is amazing!

3090s are the best

i’m trying to get as many 3090s as i can!

That’s not a bad idea.

We’ve been bouncing a few different ideas around.

We like to work with these builds and we believe in the future in which all businesses run their own compute.

So it would be fun to build these not just for our teams but also for other teams.

i started with a singled 3090 and as our business grows we added more!

happy to give you a hand!

an inference machine

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