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Powering AI Applications with Accelerated Computing

by Amelia Ramiro

The recent surge in AI-augmented accelerated computing has revolutionized the way we approach artificial intelligence applications. One company leading the way in this field is NVIDIA, with its Jetson embedded systems family. These products, based on System-on-Module (SoM) design, offer dedicated and cutting-edge solutions for mobility-focused AI applications.

SoM design, similar to the System-on-Chip (SoC) architecture found in smartphones and tablets, integrates the CPU, GPU, RAM, and storage into one compact component. This integration provides better performance and power efficiency, allowing NVIDIA to deliver AI inferencing and deep learning capabilities in a smaller form factor.

The NVIDIA Jetson family includes several popular products that cater to different applications. One such product is the Jetson Orin Nano, featuring a 6-core ARM Cortex-A78AE CPU, 1024 CUDA cores, and 32 Tensor Cores. This board is ideal for intelligent surveillance cameras, home automation systems, and small-scale robotics.

Another notable product is the Jetson TX2i, designed for edge computing. It offers lower power consumption and a compact form factor, making it suitable for smart factories and industrial automation. The Jetson Xavier NX, with more power than previous models, features a Volta-based GPU with 384 CUDA cores and 48 Tensor cores, making it suitable for drones, medical imaging devices, and smart city equipment. Lastly, the Jetson AGX Orin Industrial is the highest-performing member of the Jetson family, ideal for autonomous mobile robots and demanding AI applications.

Real-world examples demonstrate the effectiveness of NVIDIA Jetson in various industries. Tapway, a Malaysian company, utilizes Jetson Nano to develop license plate and automobile identifying cameras in toll stations. This improves the efficiency of vehicle classification and fee collection. Musashi Seimitsu Industry, a Japanese manufacturing company, relies on Jetson TX2 for optical inspections in the production process, reducing manufacturing time and improving defect detection accuracy.

Saildrone, a company specializing in autonomous uncrewed surface vehicles, relies on Jetson modules to process data collected by sensors for ocean intelligence research and analysis. Even global F&B giant PepsiCo leverages Jetson technology to enhance its operations.

The rise of NVIDIA Jetson and advancements in AI-augmented accelerated computing enable businesses to implement powerful and efficient AI applications across various industries. These solutions provide significant benefits, such as improved productivity, automation, and real-time analytics.

In conclusion, NVIDIA Jetson products, based on SoM design, have emerged as a leading solution in the field of AI-augmented accelerated computing. With their compact form factor and cutting-edge capabilities, these products have found applications in various industries, boosting efficiency and enabling businesses to harness the power of artificial intelligence.

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