Hands On WIth The Raspberry Pi Compute Module Zero

January 5, 2026 by Jenny List 35 Comments

We are all familiar enough by now with the succession of boards that have come from Raspberry Pi in Cambridge over the years, and when a new one comes out we’ve got a pretty good idea what to expect. The “classic” Pi model B+ form factor has been copied widely by other manufacturers as has their current Compute Module. If you buy the real Raspberry Pi you know you’ll get a solid board with exceptionally good software support.

Every now and then though, they surprise us, with a board that follows a completely different path, which brings us to the one on our bench today. The Compute Module Zero packs the same quad-core RP3 system-on-chip (SoC) and Wi-Fi module as the Pi Zero 2 W with 512 MB of SDRAM onto a tiny 39 mm by 33 mm postage-stamp module. It’s a Pi, but not as you know it, so what is it useful for? Continue reading “Hands On WIth The Raspberry Pi Compute Module Zero” →

Raspberry Pi Gets Desktop Form Factor

December 28, 2025 by Bryan Cockfield 26 Comments

Before the Raspberry Pi came out, one cheap and easy way to get GPIO on a computer with a real operating system was to manipulate the pins on an old parallel port, then most commonly used for printers. Luckily, as that port became obsolete we got the Raspberry Pi, which has the GPIO and a number of other advantages over huge desktop computers from the 90s and 00s as well. But if you really miss that form factor or as yearn for the days of the old parallel port, this build which puts a Raspberry Pi into a mini ITX desktop case is just the thing for you.

There are a few features that make this build more than just a curiosity. The most obvious is that the Pi actually has support for PCIe and includes a single PCIe x1 slot which could be used for anything from a powerful networking card to an NVMe to a GPU for parallel computing in largely the same way that any desktop computer might them. The Pi Compute Module 5 that this motherboard is designed for doesn’t provide power to the PCIe slots automatically though, but the power supply that can be installed in the case should provide power not only to the CM5 but to any peripherals or expansion cards, PCIe or otherwise, that you could think of to put in this machine.

Of course all the GPIO is also made easily accessible, and there are also pins for installing various hats on the motherboard easily as well. And with everything installed in a desktop form factor it also helps to improve the cable management and alleviate the rats-nest-of-wires problems that often come with Pi-based projects. There’s also some more information on the project’s Hackaday.io page. And, if you’re surprised that Raspberry Pis can use normal graphics cards now, make sure to take a look at this build from a few years ago that uses completely standard gaming GPUs on the Pi 5.

Pi Compute Modules Make For Compact Cluster

November 12, 2025 by Bryan Cockfield 23 Comments

Raspberry Pi clusters have been a favorite project of homelabbers and distributed computing enthusiasts since the platform first launched over a decade ago, and for good reason. For an extremely low price this hardware makes it possible to experiment with parallel computing — something that otherwise isn’t easily accessible without lots of time, money, and hardware. This is even more true with the compute modules, as their size and cost makes some staggering builds possible like this cluster sporting 112 GB of RAM.

The project is based on the NanoCluster, a board that can hold seven compute modules in a form factor which, as [Christian] describes it, is about the size of a coffee mug. That means not only does it have a fairly staggering amount of RAM but also 28 processor cores to work with. Putting the hardware together is the easy part, though; [Christian] wanted to find the absolute easiest way of managing a system like this and decided on gitops, which is a method of maintaining a server where the desired system state is stored in Git, and automation continuously ensures the running environment on the hardware matches what’s in the repository.

For this cluster, it means that the nodes themselves can be swapped in and out, with new nodes automatically receiving instructions and then configuring themselves automatically. Updates and changes made on Git are pushed to the nodes automatically as well and there’s not much that needs to be done manually at all. In much the same way that immutable Linux distributions move all of the hassle of administering a system to something like a config file, tools like gitops do the same for servers and clusters like this, and it’s worth checking out [Christian]’s project to get an idea of just how straightforward it can be now.

A Robot Controller With The Compute Module 5

August 6, 2025 by Lewin Day 16 Comments

The regular Raspberry Pi line is a flexible single-board computer, but sometimes you might find yourself wishing for a form factor that was better designed for installation into a greater whole. This is why the Compute Module variants exist. Indeed, leveraging that intention, [Hans Jørgen Grimstad] has used the powerful Compute Module 5 as the heart of his “Overlord” robot controller.

The Compute Module 5 offers a powerful quad-core 64-bit ARM chip running at 2.4 GHz, along with anywhere from 2 to 16GB of RAM. You can also get it with WiFi and Bluetooth built in onboard, and it comes with a wide range of I2C, SPI, UART, and GPIO pins to serve whatever ends you envision for them. It’s a whole lot of capability, but the magic is in what you do with it.

For [Hans], he saw this as a powerful basis for a robot controller. To that end, he built a PCB to accept the Compute Module 5, and outfit it with peripherals suited to robotics use. His carrier board equips it with an MCP2515 CAN controller and a TJA1051 CAN transceiver, ideal for communicating in a timely manner with sensors or motor controllers. It also has a 9-axis BNO055 IMU on board, capable of sensor fusion and 100Hz updates for fine sensing and control. The board is intended to be easy to use with hardware like Xiaomi Cybergear motors and Dynamixels servos. As a bonus, there is power circuitry on board to enable it to run off anything from 5 to 36V. While GPIOs aren’t exposed, [Hans] notes that you can even pair it with a second Pi if you want to use GPIOs or camera ports or do any other processing offboard.

If you’re looking for a place to start for serious robot development, the Overlord board has plenty of capability. We’ve explored the value of the Compute Module 5 before, too. Meanwhile, if you’re cooking up your own carrier boards, don’t hesitate to let the tipsline know!

Raspberry Pi Compute Module 5 Seen In The Wild

November 19, 2024 by Elliot Williams 23 Comments

Last Thursday we were at Electronica, which is billed as the world’s largest electronics trade show, and it probably is! It fills up twenty airplane-hangar-sized halls in Munich, and only takes place every two years.

And what did we see on the wall in the Raspberry Pi department? One of the relatively new AI-enabled cameras running a real-time pose estimation demo, powered by nothing less than a brand-new Raspberry Pi Compute Module 5. And it seemed happy to be running without a heatsink, but we don’t know how much load it was put under – most of the AI processing is done in the camera module.

We haven’t heard anything about the CM5 yet from the Raspberry folks, but we can’t imagine there’s all that much to say except that they’re getting ready to start production soon. If you look really carefully, this CM5 seems to have mouse bites on it that haven’t been ground off, so we’re speculating that this is still a pre-production unit, but feel free to generate wild rumors in the comment section.

The test board looks very similar to the RP4 CM demo board, so we imagine that the footprint hasn’t changed. (Edit: Oh wait, check out the M2 slot on the right-hand side!)

The CM4 was a real change for the compute module series, coming with a brand-new pinout that enabled them to break out more PCIe lanes. Despite the special connectors, it wasn’t all that hard to work with if you’re dedicated. So if you need more computing power in that smaller form factor, we’re guessing that you won’t have to wait all that much longer!

Thanks [kuro] for the tip, and for walking around Electronica with me.

A Dedicated GPU For Your Favorite SBC

May 5, 2023 by Bryan Cockfield 35 Comments

The Raspberry Pi is famous for its low cost, versatile and open Linux environment, and plentiful I/O, making it a perfect device not only for its originally-intended educational purposes but for basically every hobbyist from gardeners to roboticists to amateur radio operators. Most builds tend to make use of the GPIO pins which allow easy connections to various peripherals and sensors, but the Pi also supports PCI devices which means that, in theory, it could use a GPU in much the same way that a modern computer would. After plenty of testing and development, [Jeff Geerling] brings us this custom graphics card interface for the Raspberry Pi.

The testing for all of these graphics cards has been done with a Pi Compute Module 4 and the end result is an interface device which looks much like a graphics card itself. It splits the PCI bus out onto a more familiar x16 slot connector and adds physical connections for power, USB, and Ethernet. When plugged into the carrier board, the Compute Module can be attached to any of a number of graphics cards, including the latest and highest-end of Nvidia and AMD offerings.

Perhaps unsurprisingly, though, the 4090 and 7900 cards don’t work with the Raspberry Pi. This is partially due to the 32-bit limitations of the Pi and other memory mapping issues, but even after attempting some workarounds Nvidia’s cards aren’t open-source enough to test properly (although the card is recognized by the Pi) and AMD’s drivers crash the system even after compiling a custom kernel. [Jeff] did find an Nvidia card that worked, although it requires using the USB interface and second-hand cards are selling for around $3000 USD. For a more economical choice there are some other graphics cards that he was eventually able to get working, albeit not with perfect performance, including some of the ones we’ve seen him test already.

Continue reading “A Dedicated GPU For Your Favorite SBC” →

Sketch of the two proprietary carriers showing their differences - one of them has a cutout under the antenna, while the other one does not.

Design Your CM4 Carrier With WiFi Performance In Mind

June 27, 2022 by Arya Voronova 7 Comments

The Raspberry Pi Compute Module 4 has a built-in WiFi antenna, but that doesn’t mean it will work well for you – the physical properties of the carrier board impact your signal quality, too. [Avian] decided to do a straightforward test – measuring WiFi RSSI changes and throughput with a few different carrier boards. It appears that the carriers he used were proprietary, but [Avian] provides sketches of how the CM4 is positioned on these.

There’s two recommendations for making WiFi work well on the CM4 – placing the module’s WiFi antenna at your carrier PCB’s edge, and adding a ground cutout of a specified size under the antenna. [Avian] made tests with three configurations in total – the CMIO4 official carrier board which adheres to both of these rules, carrier board A which adheres to neither, and carrier board B which seems to be a copy of board A with a ground cutout added.

After setting up some test locations and writing a few scripts for ease of testing, [Avian] recorded the experiment data. Having that data plotted, it would seem that, while presence of an under-antenna cutout helps, it doesn’t affect RSSI as much as the module placement does. Of course, there’s way more variables that could affect RSSI results for your own designs – thankfully, the scripts used for logging are available, so you can test your own setups if need be.

If you’re lucky to be able to design with a CM4 in mind and an external antenna isn’t an option for you, this might help in squeezing out a bit more out of your WiFi antenna. [Avian]’s been testing things like these every now and then – a month ago, his ESP8266 GPIO 5V compatibility research led to us having a heated discussion on the topic yet again. It makes sense to stick to the design guidelines if WiFi’s critical for you – after all, even the HDMI interface on Raspberry Pi can make its own WiFi radio malfunction.