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NVIDIA Jetson

NVIDIA Jetson is a series of embedded computing boards that integrate a system on a chip (SoC) with NVIDIA’s GPU technology to provide accelerated AI and machine learning capabilities in a compact and energy-efficient form factor. These boards are designed for use in various applications, including robotics, drones, smart cameras, and other edge devices where local processing of complex tasks is required. The Jetson lineup includes models like the Jetson Nano, TX2 series, Xavier series, and the AGX series, each offering different levels of performance to suit a range of use cases. The Jetson platforms support NVIDIA’s CUDA-X software and are compatible with cloud-native technologies, enabling developers to create, deploy, and manage AI applications at the edge[1][2][4][5][6].

NVIDIA Jetson is a series of embedded computing boards designed by NVIDIA, aimed at accelerating machine learning applications in a low-power, compact form factor. These boards are built around NVIDIA’s Tegra processors, which integrate an ARM architecture central processing unit (CPU) with NVIDIA’s graphics processing unit (GPU) technology. The Jetson series is intended for developing and deploying AI applications across various fields such as robotics, healthcare, smart cities, and manufacturing. The lineup includes several models, each offering different levels of performance to cater to various application needs:

Jetson TK1: Launched in April 2014, featuring a Tegra K1 SoC.
Jetson TX1: Equipped with a Tegra X1 processor.
Jetson TX2 Series: Known for exceptional power efficiency and speed, featuring a Pascal GPU.
Jetson Xavier Series: Offers high compute density and AI inferencing capabilities.
Jetson AGX Series: The most powerful in the series, with the AGX Orin delivering up to 275 TOPS of AI performance.

These modules support NVIDIA’s CUDA-X software and cloud-native technologies like containerization and orchestration, facilitating the development, deployment, and management of AI applications at the edge[1][2][6].

Citations:

[1] https://en.wikipedia.org/wiki/System_on_a_chip

[2] https://www.ansys.com/blog/what-is-system-on-a-chip

[3] https://www.synopsys.com/cloud/insights/system-on-chip.html

[4] https://anysilicon.com/what-is-a-system-on-chip-soc/

[5] https://www.techtarget.com/iotagenda/definition/system-on-a-chip-SoC

[6] https://www.pcmag.com/encyclopedia/term/soc

[7] https://www.howtogeek.com/769198/what-is-a-system-on-a-chip-soc/

[8] https://www.reddit.com/r/hardware/comments/wxfpqb/what_is_the_difference_between_system_on_a_chip/

Citations:

[1] https://en.wikipedia.org/wiki/Nvidia_Jetson

[2] https://developer.nvidia.com/embedded-computing