At $15, the Arduino is a cost-effective solution. Arduino is supported by a large community and uses the Arduino language, a set of C/C++ functions. If you need to run ML models on an Arduino device, it is possible to package ML models built on popular frameworks such as PyTorch into the Embedded Learning Library (ELL). The ELL allows ML models to be deployed on the device without needing the overhead of a large operating system. Porting ML models using ELL or TensorFlow Lite can be challenging due to the limited memory and compute capacity of the Arduino:
| Price | Typical Models | Use Cases |
| $15 | Linear regression | Sensor reading classification |
