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Certain types of TinyML workloads can run in milliseconds on MCUs, but if your project needs to do machine vision work, an SBC is a better fit. If you’re remotely running Machine Learning models that need to be processed in near realtime, the ARM Cortex-A72 CPU running at 1.5GHz is tough to beat. However, there are some legitimate exceptions to the rule: CPU Power
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The answer? Normally, you wouldn’t want to! Maybe the question we should be asking is: Why on earth would we want to deploy a Raspberry Pi remotely? A comparison of Raspberry Pi models and their rates of power consumption. But that efficiency comes with a cost of its own in terms of a reduction in features and functionality.
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There are numerous microcontrollers and stripped-down SBCs like the Raspberry Pi Zero that are more energy efficient options than a full Raspberry Pi 4. Image source Back to the Future Why Raspberry Pi? While we haven’t exactly made at-home nuclear reactors a thing (yet), we do have access to robust battery and solar tech along with new reasons to deploy Raspberry Pis in edge computing scenarios. When the Raspberry Pi single-board computer was first announced back in 2012, I doubt few people were considering the utility of a Pi in a truly off-grid setting, especially considering the state of battery technology at the time.įast forward to today. IoT connectivity components can also be power hogs! At Blues Wireless, we offer a System-on-Module providing cellular connectivity that works globally in 137+ countries and only consumes 8uA at rest.