Best Single-Board Computers of 2026

The box is the pitch. Inside is a Raspberry Pi 4 with 4 GB of RAM, a 32 GB EVO+ microSD card already loaded with the OS, a USB card reader, a gloss case with a fan mount and a low-noise bearing fan, a set of heat sinks, a 3.5 A USB-C power supply with a noise filter, a six-foot micro HDMI cable, and CanaKit's PiSwitch — an in-line button that lets you shut the thing down without pulling the plug.

That switch is the detail we appreciate most, because it's the one most kits forget and the one every build ends up improvising around. Assembly is tool-less and takes minutes: board onto the baseplate, heat sinks on, case closed, card in. The quick-start booklet and GPIO reference card are in there too, which is why this is the kit we point beginners toward — you skip the part where you discover you bought the wrong power supply.

The catch is the board itself. The Pi 4 is a generation behind: 4 GB and a 1.5 GHz quad-core run a desktop, a media server, or an Octoprint host happily, but they won't keep pace with the Pi 5 on heavier work. If you want the newer board with the same everything-included approach, the CanaKit Pi 5 kit is the step up. If you want the gentlest possible start, this is still the one.

Spend the premium over the bare board and you get a Turbine Black case, a low-noise bearing fan, a black anodized mega heat sink, two six-foot 4K display cables, a USB card reader, and a 128 GB microSD card with 64-bit Raspberry Pi OS already written to it. For a Pi 5 build, that covers the two things that actually trip people up: cooling and storage.

We like that combination. The 128 GB card means no hunting for a spare, the fan and heat sink mean the board can run flat out inside a closed case, and the second display cable means dual monitors work on day one. The gap is the power supply: it isn't among the included items, so order a proper USB-C supply with the kit or you'll be unpacking a very quiet paperweight.

The case is the other consideration, and it points at who this suits. It's built for a fixed-purpose machine — a desktop, a Home Assistant box, a media player — rather than a breadboard. If your winter involves wiring sensors to the GPIO header, buy the bare board and pick a case that leaves the pins exposed; if you want a Pi 5 that's finished the day it arrives, this is it.

Not every board needs to be a computer you sit in front of. Pi-hole, a print server, a Klipper host for a 3D printer, a small service that has to stay up — those jobs want a cheap, quiet, low-draw board, and that's the ground the Le Potato holds better than anything else here.

The AML-S905X-CC pairs 2 GB of DDR3 with a 1.4 GHz processor and four USB ports, and the maker rates it at under a watt for lighter work, which is the number that matters when the thing lives in a cupboard for years. It needs a microSD card or eMMC flashed with the right image, and the correct bootloader is what gets you HDMI output — this is not a plug-in-and-go board.

What makes the bundle is the accessories. The anodized heat sink and the USB Wi-Fi adapter are the two items people forget to order, and including both is worth more at this end of the group than a benchmark win. The trade-off is software: documentation is thinner than the Pi's, so expect forum threads rather than a manual, and 2 GB suits services rather than a desktop. Buy it for one permanent job, not for learning Linux.

Running a model on your own desk is a different kind of workload from running a desktop, and the Jetson Orin Nano Super is the board here built for it. An 8 GB Orin Nano module sits on a reference carrier board with five USB ports, DisplayPort, Ethernet, and GPIO, and it runs the same NVIDIA AI stack used on the bigger modules — Isaac for robotics, DeepStream for vision, Riva for speech.

That's what the money goes to. The unified memory is shared between CPU and GPU, so small language models and vision pipelines run locally instead of in someone else's cloud, and the six-core Cortex-A78AE handles the rest of the system. As a plain Linux computer it's perfectly usable; as an inference box it's in a different class from every Pi on this page.

The cost isn't only financial. Setup is the weakest part of the experience — SDK Manager and JetPack are particular about host machines and Ubuntu versions, and this is not a board you hand to someone whose last computer ran Windows. One practical detail worth knowing before you order: output is DisplayPort, so plan on a matching monitor or a good quality adapter rather than the cheap one in a drawer.

Our recommendation is narrow and confident: buy it if AI inference is the project, and skip it for everything else, where the Raspberry Pi 5 is cheaper, faster to set up, and better documented. Between the two Jetsons, this is the one that makes sense for a single desk — the AGX Orin only earns its place when a team is prototyping at scale.

Two processors share the UNO Q's board, and that's the whole idea. A 2 GHz quad-core Qualcomm QRB2210 with an Adreno GPU runs Debian, so it handles Python, vision, and networking like any small Linux computer; an STM32U585 microcontroller sits alongside it for the real-time work — reading sensors, driving pins, responding instantly while Linux is still booting. There's 4 GB of LPDDR4, 32 GB of eMMC, Wi-Fi 5 and Bluetooth 5.1, and an 8x13 LED matrix on the board itself.

For anyone with a drawer of Arduino gear, the appeal is the form factor. It's laid out as an UNO, so existing shields fit, and the Qwiic connector takes Modulino nodes and sensors without a breadboard in sight. Sketches and Python live on the same board, which is exactly the seam most hybrid projects fall apart on.

The trade-offs are real, though. There is one USB-C port, so plan on a hub; 4 GB and a 2 GHz Cortex-A53 don't match a Pi 5 as a desktop; and the tooling is still settling, with some rough edges reported around the Linux side and the link between the two processors. At this price those are fair trades for a board that genuinely does both jobs, and the value story — a microcontroller and a computer on one piece of silicon — is why it made the list. We just wouldn't make it your first Linux machine.

A 1 GB Pi with a 1.4 GHz quad-core looks like a museum piece next to the Pi 5, and as a desktop it is one. As a headless workhorse it isn't, which is why we still recommend it: a Pi-hole, a DNS server, a print server, a network bridge for a wireless sensor — the jobs where the board sits in a cupboard and you forget it exists. It runs the same Raspberry Pi OS as the Pi 5, so every guide you find applies, and the price is the lowest of any Raspberry Pi here.

The hardware is honest about what it is: four USB ports, Ethernet, Wi-Fi, Bluetooth, and the standard 40-pin GPIO header, in a board that has been running in kitchens and server cupboards for years. What it cannot do is hold a browser with a modern website in it. If your plan involves a monitor at all, spend more; if it involves an SSH session and a service that starts on boot, this is enough.

Sixty-four gigabytes of LPDDR4X, a 12-core Arm CPU, and up to 275 TOPS of AI performance on a board you can hold in one hand. The AGX Orin developer kit is not in the same conversation as the Pis: it ships with a 90 W power brick, it runs Ubuntu, and it will happily act as a fully loaded Linux workstation with a GPU attached.

The reason to buy the developer kit rather than a module is flexibility. It can emulate every Jetson Orin module, so a team can prototype on one board and then deploy to the smaller, cheaper module that fits the product. Isaac for robotics, DeepStream for vision, and Riva for speech are all part of the stack, and the ecosystem of cameras and sensors built around Jetson is the other half of the value.

The friction is the same friction the Orin Nano has, at a higher stakes level. Setup and compatibility are particular: SDK Manager, Ubuntu versions, and container images that may or may not match what you're running. This is a board that rewards someone who has done it before and punishes an afternoon of improvisation.

So our recommendation comes with a fence around it. If you're prototyping autonomous machines, multi-camera vision, or on-device models too large for 8 GB, this is the ceiling of this group and worth the money. If you're one person experimenting with a local model, the Orin Nano Super does most of it for a fraction of the cost, and if you want a computer, buy the Raspberry Pi 5 and stop reading.