Apple gave me access to this Mac Studio cluster to test RDMA over Thunderbolt, a new feature in macOS 26.2. The easiest way to test it is with Exo 1.0, an open source private AI clustering tool. RDMA lets the Macs all act like they have one giant pool of RAM, which speeds up things like massive AI models.

The stack of Macs I tested, with 1.5 TB of unified memory, costs just shy of $40,000, and if you're wondering, no I cannot justify spending that much money for this. Apple loaned the Mac Studios for testing. I also have to thank DeskPi for sending over the 4-post mini rack containing the cluster.

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This little postage stamp is actually a full Raspberry Pi Zero 2, complete with eMMC storage and WiFi.

But you can't get one. Well, not unless you buy the CM0NANO development board from EDAtec, or you live in China.

This little guy doesn't have an HDMI port, Ethernet, or even USB. It's a special version of the 'Compute Module' line of boards. Little Raspberry Pi 'System on Modules' (SoMs), they're called.

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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.

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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.

But unlike the Pi 4, this eats up 25 watts of power at idle, meaning the poor battery only lasts 2-3 hours.

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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!

Just in the past week, we found out Raspberry Pi's increasing their single board computer prices. Micron's killing the Crucial brand of RAM and storage devices completely, meaning there's gonna be one fewer consumer memory manufacturer. Samsung can't even buy RAM from themselves to build their own Smartphones, and small vendors like Libre Computer and Mono are seeing RAM prices double, triple, or even worse, and they're not even buying the latest RAM tech!

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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.

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