Compute modules are essentially stripped-down versions of full-fledged single-board computers (SBCs) that 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.
Compute modules are ideal for creating specialized devices or products where every inch of space and every ounce of processing power must be optimally utilized.
Compute modules offer a valuable advantage to those who need the flexibility to design custom hardware solutions and scale their projects.
Cluster computing, Home automation, Handheld devices and Industrial automation are some of the areas where compute modules provide a flexible solution.
Compute modules are not limited to the Raspberry Pi ecosystem. Other contenders in the market that offer similar flexibility and customization options include Orange Pi Compute Modules, Nvidia Jetson Modules and ARM SoM Compute Module 5.
Raspberry Pi Compute Modules are perhaps the most well-known and widely used compute modules which offer a range of processing power, memory configurations, and connectivity options.
Orange Pi Compute Modules provide a similar alternative to Raspberry Pi’s offerings, and are often favored for their cost-effectiveness and flexibility in hardware customization.
Nvidia Jetson Compute Modules take the cake when it comes to AI and machine learning applications, and are often used for edge AI, robotics, and smart video analytics.
ArmSoM CM5 is a powerful replacement for the Raspberry Pi CM4 module with integrated CPU, Mali GPU and 8 TOPS NPU.
Compute modules give you the flexibility to create custom hardware solutions in a compact form, making them great for projects like IoT and automation. While they are priced like full SBCs and add extra boards, the customization options often make it worth the effort.