**2.3 Edge device**

Machine learning models are executed on small IoT or edge devices, which highlights the relevance of edge computing However, executing such models on these devices is not a straightforward task due to their computational intensity. Models must be lightweight or compatible with these devices to be feasible. NVIDIA Jetson TX2 and Nano are popular test devices. These NVIDIA devices serve as embedded AI computing solutions. The Jetson TX2 features an NVIDIA Pascal GPU with 8 GB of memory, while the Nano is equipped with a Maxwell GPU and 4 GB of memory. Both devices are well-suited for computer vision and machine learning tasks. **Figure 5** depicts the devices used in this chapter, and **Table 1** provides a detailed comparison between the two devices.

**Figure 5.** *NVIDIA Jetson Nano (left) and NVIDIA Jetson TX2 (right).*


#### **Table 1.**

*Comparison between NVIDIA Jetson TX2 and NVIDIA Jetson Nano.*
