Jeff GeerlingModify

If the size of the current AI bubble can be estimated by how many

• AI job offers
• AI product review offers
• AI service paid sponsorship offers
• AI creator representation offers

I receive per day... then I'd say we're nearing the pop.

There is no way the trillions of dollars of valuation placed on AI companies can be backed by any amount of future profit.

I recently tried using the Minisforum DEG1 GPU Dock with a Raspberry Pi 500+, using an M.2 to OCuLink adapter, and this chenyang SFF-8611 Cable.

After figuring out there's a power button on the DEG1 (which needs to be turned on), and after fiddling around with the switches on the PCB (hidden under the large metal plate on the bottom; TGX to OFF was the most important setting), I was able to get the Raspberry Pi's PCIe bus to at least tell the graphics card installed in the eGPU dock to spin up its fans and initialize.

But I wasn't able to get any output from the card (using this Linux kernel patch), and lspci did not show it. (Nor were there any logs showing errors in dmesg).

Instead of a traditional review of a new Pi product, I thought I'd split things up on my blog, and write two separate posts; this one about hacking in an eGPU on the Pi 500+, for a massive uplift in gaming performance and local LLMs, and a separate post about the Pi 500+'s new mechanical keyboard.

The Raspberry Pi 500+ was announced today, sells for $200, and adds on the following over what was present in the regular Pi 500:

Instead of a traditional review of a new Pi product, I thought I'd split things up on my blog, and write two separate posts; this one about the Pi 500+'s new mechanical keyboard, and a separate post about hacking in an eGPU on the Pi 500+, for a massive uplift in gaming performance and local LLMs.

The Raspberry Pi 500+ was announced today, sells for $200, and adds on the following over what was present in the regular Pi 500:

For years, I've had a couple Macs running at home and at my studio, which I use to remotely manage my video projects or some coding project.

It's nice to have a workstation set up that you can access anywhere via Screen Sharing to check on progress, jot down a note, etc.—and not be tied to a web app or some cloud service.

I run a Wireguard VPN at home and at my studio, so I can remotely log into any of my infrastructure through the VPN—Macs included.

I ordered a set of 10 Compute Blades in April 2023 (two years ago), and they just arrived a few weeks ago. In that time Raspberry Pi upgraded the CM4 to a CM5, so I ordered a set of 10 16GB CM5 Lite modules for my blade cluster. That should give me 160 GB of total RAM to play with.

This was the biggest Pi cluster I've built, and it set me back around $3,000, shipping included: