Jeff GeerlingModify

Now that Nvidia GPUs run on the Raspberry Pi, I've been putting all the ones I own through their paces.

Many people have an older Nvidia card (like a 3060) laying around from an upgrade. So could a Pi be suitable for GPU-accelerated video transcoding, either standalone for conversion, or running something like Jellyfin for video library management and streaming?

That's what I set out to do, and the first step, besides getting the drivers and CUDA going (see blog post linked above), was to find a way to get a repeatable benchmark going.

Inside this Framework 13 laptop is a special mainboard developed by DeepComputing in collaboration with Framework. It has an 8-core RISC-V processor, the ESWIN 7702X—not your typical AMD, Intel, or even Arm SoC. The full laptop version I tested costs $1119 and gets you about the performance of a Raspberry Pi.

A Pi 4—the one that came out in 2019.

Memory price inflation comes for us all, and if you're not affected yet, just wait.

I was building a new PC last month using some parts I had bought earlier this year. The 64 Gigabyte T-Create DDR5 memory kit I used cost $209 then. Today? The same kit costs $650!

I finally upgraded to a mechanical keyboard. But because Apple's so protective of their Touch ID hardware, there aren't any mechanical keyboards with that feature built in.

But there is a way to hack it. It's incredibly wasteful, and takes a bit more patience than I think most people have, but you basically take an Apple Magic Keyboard with Touch ID, rip out the Touch ID, and install it in a 3D printed box, along with the keyboard's logic board.

A few months ago, GitHub user @yanghaku dropped a 15 line patch to fix GPU support for practically all AMD GPUs on the Raspberry Pi (and demoed a 3080 running on the Pi with a separate, unreleased patch). This week, GitHub user @mariobalanica dropped this (larger) patch which does the same for Nvidia GPUs!

I have a Raspberry Pi and an Nvidia graphics card—and I'm easily distracted. So I put down my testing of a GB10 system for a bit, and compiled mariobalanica's branch.

This air quality monitor costs $250. It's called the Air Lab, and I've been using it to measure the air in my car, home, studio, and a few events over the past few months. And in using it over the course of a road trip I learned to not run recirculate in my car quite as often—more on that later.

Networked Artifacts built in some personality: