Banana Pi M4 Zero: 2GB + 8GB vs 4GB + 32GB — Which Model is Right for You?

The Banana Pi BPI-M4 Zero is a compact and powerful single-board computer designed for edge computing, smart devices, and embedded applications. Whether you’re building a home automation system, a portable media player, or a compact Linux workstation, the M4 Zero has the flexibility to meet your needs.

Having an enhanced USB bandwidth, two-screen compatibility, and improved processor performance, the Raspberry Pi 4 continues to set the edge a bit higher. What does this mean, though, for the customers of the Arducam camera module?

Arducam has long offered high-quality and versatile camera modules for Raspberry Pi developers and makers. The Raspberry Pi 4 pushed the limits of existing modules but also posed new challenges.

New Opportunities

The architecture of Raspberry Pi 4, with its greater handling of USB 3.0 ports and memory, allows the Arducam camera module to output higher resolutions and improved frame rates more reliably. Arducam USB3 cameras, for example, may take advantage

Competitiveness at the edge is becoming the future big thing in intelligent automation, and NVIDIA Jetson is stretching the limits of small computing. The powerful platform will be vital in real-time decision-making in multiple areas of application, such as industrial automation, smart cameras, and robotics.

What Is NVIDIA Jetson? 

NVIDIA Jetson is a series of tiny but powerful computers running AI-powered operations, comprising a range of power-conscious machines running the area from Jetson Nano to Jetson Orin. From edge analytics to computer vision and deep learning, these systems are efficient and can perform a large variety of functions quickly.

In 2025, What’s New?

The Jetson environment is more scalable and energy efficient than ever before, in 2025. The Jetson Orin series offers a

The appropriate Raspberry Pi robot kit needs to be selected before beginning with do-it-yourself robots. The kits have now become intelligent, more accessible and more enjoyable to discover and were designed specifically for beginners who wish to learn automation, electronics, and programming.

Top 5 Raspberry Pi Robot Kits

1. SunFounder PiCar-X

For those who want to play with robotics and artificial intelligence, the PiCar-X is an intelligent robot car. It is Python- and Scratch-supported and comes with ultrasonic sensors and a pan-tilt camera. It's a great learning device with object following and collision avoidance.

2. Freenove 4WD Smart Car Kit

With its 4WD robot car which can be remotely controlled through an app or an infrared remote, Freenove offers a beginner-friendly experience. It is a great choice for

With the Raspberry Pi 5, building your own emulation console has never been simpler or more powerful, and retro gaming remains a compelling attraction for gamers of any age. This tiny board is a powerhouse for all your retro needs, whether you're replaying old favourites or finding classic games for the first time.

Emulation Is a Special-Case Task for Creating The Raspberry 5

Raspberry Pi 5 being a little more powerful and efficient than the older ones. Using its quad-core Cortex-A76, newest-gen GPU, and up to 8GB RAM, emulators like RetroArch, Dolphin, or PCSX-Re-ARMed can run on Pi 5. It leads to smoother gameplay, faster load times, and a chance to emulate systems that are more demanding, for instance, Dreamcast, Nintendo 64, and PSP.

Emulation Made Easy

It is easy and fast to turn your Raspberry

Raspberry Pi 5 is nothing short of a pocket-sized powerhouse. If you’ve been waiting to get started with AI and machine learning without draining your wallet, this little board is your ideal companion. It’s tiny and inexpensive and can support some serious stuff. Here’s how to install it seamlessly and get your AI experiments under way.

Step-by-Step Procedure to Configure Raspberry Pi 5

Get Your Raspberry Pi 5 Kit Up and Running

First, gather everything you'll need. The board for the Raspberry Pi 5, a good power source, a microSD card of 32GB (or bigger), and all of the usual stuff such as keyboard, mouse, and screen. When you have all of the necessities, you're good to go.

Installing the Operating System

Use the Raspberry Pi Imager software to install Raspberry Pi OS on your microSD card. This

Single-board computers (SBCs) are gaining popularity in the tech community Students and tinkerers, as well as engineers who are constructing high-end AI creations. Though the Raspberry Pi remains a steadfast fan favourite, 2025 has introduced a slew of alternatives with greater power, finer features, and better backing. If you're about to work on a new project and want to see what lies beyond the Pi, here are some strong contenders you should give a try.

Top 5 Raspberry Pi Alternatives 

Orange Pi 5: Heavy Lifting

Want top performance? The Orange Pi 5 does the trick with its Rockchip RK3588S processor and a maximum of 32GB LPDDR4 RAM. That's ideal for video

Making Android run on a Banana Pi board is not as complicated as one might suppose. To have an even better experience as well as more performance, putting Android on internal storage, such as eMMC is an excellent choice. This makes your setup more efficient as well as more stable if, for example, you intend to use it for an extended period.

Step-by-Step Guide to Run Android on Banana Pi 

Select Your Board and Tool

First, determine which Banana Pi device you have. That's important because all models use unique chips, and that will determine which tool to use. If it has an Allwinner chip, such as the BPI-M64 or BPI-M2 Ultra, use the PhoenixCard tool.

Go to the Banana Pi official wiki and grab the Android image corresponding to your board. Plug in a microSD card to your computer, open the PhoenixCard tool, and load

AI and robotics are progressing rapidly and the Developer Kit has ensured that nobody is left behind. If you are a developer, a student learning about AI, or a hobbyist tinkering with robotics, the NVIDIA Jetson Nano Developer Kit’s compact size is perfect for you, because it is powerful, and cost effective. 
This device requires low power energy and high performance computing at the same time, which is needed for edge AI projects that do not need enormous devices or huge spending.

Why the Jetson Nano Is Unique

Compact and Effective

The Jetson Nano's small form factor makes it easy to incorporate into compact robots, as well as embedded smart devices. This portability means that there is more flexibility in design without losing performance.

Robust Developer A

Installing CUDA, cuDNN, and JetPack SDK on NVIDIA Jetson Devices via NVIDIA SDK Manager

Now Jetson Nano is ready to install further NVIDIA SDK components. Download the