For AI and machine learning applications, Nvidia Jetson compute modules take the cake. While Raspberry Pi’s Compute Module series is the most popular, there are other contenders in the market that offer similar flexibility and customization options. These boards are often favored for their cost-effectiveness and flexibility in hardware customization, particularly for developers working with lower budgets. ArmSoM CM5 is a powerful replacement for the Raspberry Pi CM4. It has RK3576 system on chip that consists of an integrated CPU with quad-core Cortex-A72 @ 2.2GHz, quad-core Cortex-A53 @ 1.8GHz, and a dedicated NEON co-processor.
Table of Contents
What are Compute Modules?
They house the essential processing components such as the CPU, memory, and storage but leave out many of the peripherals and I/O ports found on standard SBCs. They allow you to design exactly what you need, unlike standard SBCs.As your projects move from tinkering to serious development, the limitations of typical Raspberry Pi boards or any SBC becomes quite obvious.
In the world of embedded systems and custom hardware solutions, compute modules represent a distinct class of computing devices. In addition to that, it also has integrated Mali GPU and 8 TOPS NPU.The Orange Pi CM4 is a direct competitor to the Raspberry Pi CM4, offering a balance of affordability and performance. Can they truly deliver the flexibility and performance needed for a compact, scalable design?
In the end, compute modules give you the flexibility to create custom hardware solutions in a compact form, making them great for projects like IoT and automation.
Drawbacks of Compute Modules?
Having a smart home hub that controls lighting, security, and climate using compute modules, you can build a central unit that integrates seamlessly into your home, managing multiple systems from a single compact device.Unlike their more comprehensive counterparts, compute modules can lack built-in I/O ports and network capabilities, necessitating additional boards for setup.
While they’re more expensive than Raspberry Pi or Orange Pi modules, their raw processing power and ability to handle complex algorithms make them a standout option in specialized fields.These are perhaps the most well-known and widely used compute modules.
Why you should care about a compute module?
These modules are designed with GPU-intensive tasks in mind and are often used for edge AI, robotics, and smart video analytics. For example, you see this industrial panel by Chipsee?
1. Cluster Computing
Here’s why you should pay attention to them and how they can be effectively utilized:Imagine setting up a mini data center using compute modules—each module acting as a node in your cluster, providing significant computing power without occupying too much physical space. Many developers face this question when moving from prototypes to market-ready products.In this article, we’ll dive into what are compute modules and how they can fit into your next project.
2. Home Automation
They can be embedded into devices where space is limited, yet performance requirements are high, delivering a robust computing solution in a portable package.From the original Compute Module 1 (CM1) to the more powerful and versatile Compute Module 4 (CM4), Raspberry Pi’s lineup offers a range of processing power, memory configurations, and connectivity options. Let’s take a look at a few of the most prominent compute modules available today:
3. Handheld Devices
For industrial applications, where ruggedness and customization are crucial, compute modules offer a way to build specialized controllers and monitoring systems. While it doesn’t come with all the usual bells and whistles of a standard Raspberry Pi board like HDMI ports or USB connectors it provides the core processing power you need.This setup is perfect for tasks like data processing, simulations, or even small-scale cloud computing environments.In home automation, where every device needs to be both powerful and unobtrusive, compute modules provide a flexible solution.
4. Industrial Automation
This design choice is not merely about minimization; it reflects a broader intent to offer greater flexibility and integration potential. Compute modules aren’t just limited to the Raspberry Pi ecosystem. Have you used a compute module, or seen one in action? It might be worth exploring for your next project!
A Taste of Different Flavors: Pi and Beyond
For instance, a compute module could be embedded in a custom-built control panel that manages factory equipment, providing the necessary computational power while allowing for a tailored interface with sensors and actuators.But they have some downsides. They’re priced like full SBCs, lack built-in I/O or networking, and need extra boards, which adds cost and complexity. This setup is ideal for creating specialized devices or products where every inch of space and every ounce of processing power must be optimally utilized.
1. Raspberry Pi Compute Modules
For instance, check out this amazing project called Retro Lite by StonedEdge.
This additional complexity and cost can make them appear less appealing at first glance. 📋Yet, for those who need the flexibility to design custom hardware solutions and scale their projects, these modules offer a valuable advantage.
2. Orange Pi Compute Modules
Compute modules also shine in the realm of handheld devices.
To some tinkerers, they may seem an odd choice, especially considering they’re often priced similarly to fully-featured SBCs. While this can be frustrating for hobbyists, the customization options often make it worth the effort.
3. Nvidia Jetson Modules
Here’s a industrial Touch Panel solution by Comfile Technology using Pi CM4 with some other tweaks:
Whether it’s a custom handheld gaming console or a specialized field tool for professionals, compute modules offer the processing power you need in a small form factor. For those delving into high-performance computing or distributed systems, compute modules offer an efficient way to build compact, powerful clusters.
4. ArmSoM Compute Module 5
At their core, compute modules are essentially stripped-down versions of full-fledged single-board computers (SBCs). Compute modules might seem like a niche component, but their versatility makes them invaluable in a range of real-life applications.
Final Thoughts
The CM4, in particular, is highly favored for its compact size, onboard eMMC storage, and the ability to support wireless connectivity via a custom carrier board. It is actually based on the Raspberry Pi CM4 module. And as you can see in the image below, a full-fledged Raspberry Pi would NOT have been suitable in this case. The compute module offers the flexibility of expanding and customizing the hardware.Orange Pi provides a similar alternative to Raspberry Pi’s offerings, with its own compute modules designed for specific industrial and development purposes. Our pick: Home Assistant Yellow that utilizes Pi 4 Compute module at its heart.Raspberry Pi’s compute modules are known for their adaptability and reliability, making them the go-to option for industrial automation, IoT, and embedded systems.
