Best Raspberry Pi alternative 2021: Top SBCs
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For many projects, dedicating an entire PC to a project is overkill. This is where single-board computers come in handy.
The best know SBC is, without a doubt, the Raspberry Pi. It’s known the world over for its versatility, low power consumption, reliability, and ease of use. But there are a number of alternatives to the Raspberry Pi available that can be used to bring their own uniqueness to a project, whether you want more performance, AI, VR support, or a board that is rated for industrial use.
Or maybe you want something smaller than the Raspberry Pi!
Let’s take a look.
Contents
- A desktop computer in the palm of your hand
- High-end laptop performance for VR, AR, and AI projects
- Comes with support for many popular AI frameworks
- A great kit for hobbyists and enthusiasts
- A Raspberry Pi 4 gutted down for industrial use
- Are there any more alternatives worth considering?
- What’s the best way to get started with a single-board computer?
- What’s a good source for cases?
- Can you make your single-board computer waterproof?
- How were these single-board computers chosen?
- Which is the right Raspberry Pi alternative for you?
A desktop computer in the palm of your hand
A desktop computer in the palm of your hand
Tech specs:
- Samsung Exynos 5422 Cortex-A15 2 GHz and Cortex-A7 Octa core CPUs
- Mali-T628 MP6
- 2GB LPDDR3 RAM PoP stacked
- eMMC5.0 HS400 Flash Storage
- 2 x USB 3.0 Host, 1 x USB 2.0 Host
- Gigabit Ethernet port
- HDMI 1.4a for display
Powerful but yet energy-efficient, this would be my choice if I wanted to replace a desktop computer with an SBC. This board can run various flavors of Linux, including the latest Ubuntu, as well as the flexibility to run Android.
High-end laptop performance for VR, AR, and AI projects
High-end laptop performance for VR, AR, and AI projects
Tech specs:
- AMD Ryzen Embedded V1605B quad-core/eight-thread at 2.0GHz (3.6GHz boost)
- AMD Radeon Vega 8 graphics
- 2x DDR4 Dual-channel 64-bit SO-DIMM sockets with ECC support up to 32gb 2400 Mt/s
- 32GB eMMC 5.0 High Speed Drive
There’s not much that the UDOO BOLT V8 can’t handle, from AAA games, high-end VR, cryptocurrency mining, AI, IoT, edge computing, and much more. But at $418, this is a very expensive board.
Comes with support for many popular AI frameworks
Comes with support for many popular AI frameworks
Tech specs:
- Quad-core 1.43 GHz ARM A57
- 128-core Maxwell GPU
- 4 GB 64-bit LPDDR4 RAM
- 4x USB 3.0, USB 2.0 Micro-B
- Gigabit Ethernet, M.2 Key E
- HDMI and DisplayPort
The $99 Nvidia Jetson Nano Developer Kit is a single-board computer that allows you to work with multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. It also comes with support for many popular AI frameworks, like TensorFlow, PyTorch, Caffe, and MXNet. There’s also a full desktop Linux environment to make it even easier to work with.
A great kit for hobbyists and enthusiasts
A great kit for hobbyists and enthusiasts
Tech specs:
- Rockchip Quad-Core RK3288 processor
- Arm Mali-T764 GPU
- 2GB Dual-Channel DDR3
- 802.11 b/g/n, Bluetooth V4.0 + EDR
This board has a number of nice touches that make it great for hobbyists. I particularly like the color-coded GPIO header, which makes it easy to recognize respective pin headers. I also like the detailed silk-screen print on the face of the board that makes it clear where everything goes.
A Raspberry Pi 4 gutted down for industrial use
A Raspberry Pi 4 gutted down for industrial use
Tech specs:
- 4-Core 1.5GHz 64-bit CPU
- 8GB LPDDR4-3200 SDRAM Densities
- 2x 4K HDMI interfaces 60fps H.265 (HEVC) video
- Gigabit Ethernet PHY with IEEE 1588 support
- Single-lane PCI Express 2.0 interface
- Dual MIPI DSI display, and dual MIPI CSI-2 camera interfaces
- VideoCore VI graphics, supporting OpenGL ES 3.x
- 28 GPIO pins, with up to 6 × UART, 6 × I2C and 5 × SPI
Raspberry Pi Compute Module 4 incorporates a quad-core ARM Cortex-A72 processor, dual video output, and a wide selection of other interfaces.
Are there any more alternatives worth considering?
Here are some honorable mentions:
What’s the best way to get started with a single-board computer?
Get a Raspberry Pi! Get to know the setup, the GPIO pins, and work through the basics from there!
What’s a good source for cases?
You can find a lot of generic cases out there, but if you can drive a 3D printer, then you’ll have an endless supply of them!
Can you make your single-board computer waterproof?
You can try to waterproof the case it’s in, like spray it with conformal coating to resist moisture. But there’s no way to make them waterproof.
How were these single-board computers chosen?
Put simply, they all offer something that the Raspberry Pi doesn’t. The Raspberry Pi is a great bit of hardware, but it has been built within a specific set of constraints and for mass appeal. These SBCs take what the Raspberry Pi brought to the table, and take it further.
I’ve also had a chance to use all of this hardware, and they have all been tested to ascertain its quality, reliability, and whether it delivers on the promises made.
The ASUS Tinker Board S is on the list because it is the perfect choice for a hobbyist or someone who wants to learn their way around what these boards can do. It’s a nicely designed board that is aimed at making it easy to use. The board is clearly labeled and that means less time looking at a manual and more time working on projects.
Also in this list is an SBC that is better suited to harsher industrial use, which allows for projects in environments that would otherwise destroy a lesser board.
Which is the right Raspberry Pi alternative for you?
When you are dealing with a cheap SBC, it’s a case of buying a board and getting on with the project. Buf if you are thinking about spending more money on hardware, you want to make sure that you’re not throwing money away.
I suggest starting with a clear idea of what the project is. This can be the hard part, but getting it wrong can mean getting derailed partway through the project resulting in a massive setback — costing time and money.
Then, it’s a case of doing research. How much power and performance do you need? What operating system do you need?
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