Best Single Board Computers of 2026

Four USB ports, two of them USB 3.0, dual micro HDMI, 802.11ac and Bluetooth 5.0 — the Pi 4's I/O still reads like a generous spec sheet for a board at this price. The 1.5GHz Cortex-A72 and 2GB of LPDDR4 are the modest part now, but nothing about the connectivity feels cut down, which is why this board keeps turning up in builds that need to do one job for years.

Two gigabytes is the number to think hard about. For a Pi-hole, an OctoPrint server, a small media library, or a retro console it's plenty, and we've no hesitation recommending it there. Stack services or try to use it as a desktop and you meet the ceiling — the board doesn't degrade gracefully, it just refuses the next thing you ask of it. That's a fair trade at this price; it's also why this isn't the board for someone who hasn't decided what to run.

Count the extras before you order. This is a bare board — no power supply, no microSD card, no heatsink — and it wants cooling under sustained load. Add those three and the gap against the Le Potato narrows fast. What you're paying for instead is the largest pool of ready-made images and tutorials of any board here, which for a first build is worth more than the difference.

The Orin Nano kit is the affordable way into NVIDIA's AI stack in this group, and the hardware looks ordinary next to what it does: an 8GB module on a reference carrier board, a 6-core Cortex-A78AE, five USB ports, DisplayPort and Ethernet. The GPU and the software are the product — CUDA underneath, Isaac for robotics, DeepStream for vision, Riva for speech. Running a camera pipeline or a small language model on your own desk is the whole point.

Getting it there is the work. Flashing a Jetson isn't the ten-minute card copy a Raspberry Pi takes: it runs from a Linux host through NVIDIA's SDK tools, and an interrupted USB session or a swapped cable means starting again. We think the flashing step is where the patience goes. If you've done one before it's routine; if you haven't, set aside an evening, use a wired keyboard, and don't expect a useful board the same day.

Once it's running, the kit earns its keep. The carrier board accepts every Orin Nano and Orin NX module, so the same kit can host a different module later, and the stack is why people tolerate the flashing. Frame it honestly: this is an edge-AI board, not a desktop. The Pi 5 is the one we take for everything else.

The Le Potato bundle tells you what sort of board this is before you plug it in: an anodized heatsink over the processor and a USB Wi-Fi dongle in the box, because there's no wireless built in and it wants cooling. Two gigabytes of RAM, an Amlogic S905X, and a GPIO header that keeps the same layout for hardware I2C, SPI, PWM and UART — the last part matters if you're porting a project with wires already soldered to a Pi.

The catch is that it boots like a bare board rather than an appliance. You need a microSD card or eMMC carrying the correct image and bootloader; get that wrong and you get a green LED and a dark screen. That's one evening with the instructions open, and afterwards the board is genuinely pleasant — small, undemanding, and happy to sit in a corner running one thing.

Where it fits is the jobs that don't justify a Pi's price: a Pi-hole, a small web service, a sensor gateway, a first soldering project. The Wi-Fi dongle takes one of the USB ports, which is the kind of trade you make at this end of the market. It isn't the board we hand someone who wants a desktop, but that isn't what it's for.

On paper the UNO Q reads like a small computer: a quad-core Cortex-A53 at 2.0GHz, 4GB of LPDDR4, 32GB of eMMC and Wi-Fi 5, running Debian. What that description misses is the second chip — an STM32U585 microcontroller sitting beside the Qualcomm processor — and that pairing, not the Linux side, is the reason to buy this board.

The two halves do different work. Linux runs Python and vision models; the microcontroller handles real-time pin work the way an ordinary Arduino does. The classic UNO footprint means existing shields still stack, the Qwiic connector takes sensors without soldering, and the 8×13 LED matrix is the kind of detail that gets a project blinking on day one.

As a general-purpose computer it runs out of road quickly: one USB port, modest A53 cores, and package updates slow enough that you notice. The handoff between Linux and the microcontroller is the other thing to test early if your project depends on tight timing between the two. Neither is a flaw in what the board is for; both matter if you're buying it as a cheap desktop.

What we appreciate most is that it makes the bridge visible — sketches on one side, a Debian prompt on the other, the same board and the same power supply. No other board here does that, and it's why the UNO Q stays in the roundup despite the rough edges.

Two hundred and seventy-five TOPS, 64GB of LPDDR4X, 12 cores, and a 90W power brick in the box: the AGX Orin isn't a hobbyist board wearing a developer-kit badge. It's the workstation of this group, and it's priced like one. If you're training or serving large models locally, or building a robot that has to perceive in real time, this is the class of hardware those jobs assume.

The feature that sells it for us is module emulation. The kit can emulate every Jetson Orin module, so you develop against the top of the range and deploy onto whatever module the finished product can afford. That's a real engineering advantage, and it's the sort of thing that pays for itself the first time you avoid buying hardware twice.

It is not plug-and-play, and that's a fact about the platform rather than a knock on the board. The tooling wants a Linux host — SDK Manager on a Mac is a dead end — and the software stack is opinionated about versions. Flash it, put it under load, and confirm it behaves before your return window closes; that habit is worth keeping with any board at this level. If running current AI workloads without setup work is the requirement, this is the wrong purchase.