## 4 Perspectives on Embedded AIoT Devices for SMEs Based on Identified Attributes
### Verification of the Designed Devices Considering the Identified Essential Attributes
#### 4.2.3 Jetson AGX Industrial  
AGX Industrial meets the necessary manufacturer's warranties. It can be deployed in locations with challenging conditions for application operations using AI at the edge. It therefore meets the expected industry standard that is sorely needed in the field of AI on edge devices, although independent testing is not yet available. It is made in two variants. The Jetson Xavier AGX Developer's kit [71; 72] is suitable for prototyping and experimenting with the proposed solution. The second version is the aforementioned finished product ready to deploy the solution in industry. As with the other Jetson devices, the Xavier AGX works with the same development ecosystem as Nano and Xavier NX: Jetpack for building AI-powered application. There is the possibility of using the Safety Extension Package to create an industrial application respecting the IEC 61508 and ISO13849 industry standards [73]. Another strong argument in favour of AGX Industrial is the product security, and thus the ability to create secure products. This includes, for example, the implementation of verified secure boot and hardware accelerated cryptography for encrypted storage and memory. One of the other key features is an operation lifetime guaranteed for 10 years [74]. This is especially important in terms of guaranteeing the functionality of the solution, repairaibility, serviceability and sustainability of the application that could work in an industrial environment. The key characteristics that Jetson AGX Industrial fulfils are clearly listed in Table 5. In terms of graphics performance, the AGX has 512 CUDA graphics cores and 64 tensor cores. The processor used is an 8-core NVIDIA Carmel Arm 8 MB L2 processor. This represents a performance of 30 TOPS, which is noticeably more than in the case of the Jetson Xavier NX. Detailed benchmark comparisons between the Jetson Xavier NX and Jetson AGX devices have been performed [75]. From the results, it is clear that, as expected, the Jetson AGX performed better on the pre-trained models. For instance, for the ResNet 50 Image classification, the AGX performed 1.7\(\times\) better than the NX. Table 6 summarizes the parameters that allow the Jetson AGX to be properly used in industry, with the following properties guaranteed: operating temperature and vibration, humidity and operating lifetime. All presented devices meet the requirements to be a part of the proposed solutions in the field of Artificial Intelligence. The identified attributes are supported by these devices in all aspects. Jetson devices are included in the IoT device (or AIoT) category. These are low-powered, built-in devices that allow you to connect to the Internet and send or receive data as needed. In connection with the IoT pillar, there is also support for Cloud-Native technologies for rapid development. Jetpack also enables GPU accelerated containerized applications [76]. In the case of Cybersecurity, this is a very challenging area. In this \begin{table}
\begin{tabular}{c c} \hline \hline
**Parameters** & **Jetson Xavier AGX Industrial** \\ \hline GPU & 512 CUDA cores and 64 tensor cores \\ \hline CPU & 8-core NVIDIA Carmel 64-bit CPU \\  & 8 MB L2 + 4 MB L3 \\ \hline Memory & 32 GB 256-bit LPDDR4x 36.5 GB/s \\ \hline Storage & 64 GB eMMC \\ \hline Video Encoder & 4 K–30 fps, 4 \(\times\) 1080 p 30 fps, 9 \(\times\) 720 p 30 fps \\ \hline Camera & 6 cameras \\ \hline Connectivity & Ethernet, M.2 Key E \\ \hline \multirow{2}{*}{Others} & USB 2.0 \\  & UART, SPI, CAN, I2C, I2S, DMIC \& DSPK, GPIOs \\ \hline Power & 20 W–40 W \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Jetson Xavier AGX Industrial technical specifications. area, in addition to IT systems, we recognize the threat of Artificial Intelligence algorithms \"deceiving\" a deep model on the basis of targeted input exchange to achieve incorrect evaluation of inputs by model parameters. The upcoming solution for the aforementioned devices is NVIDIA's open AI framework, Morpheus, for processing, filtering and classifying real-time data. [77].