NVIDIA Jetson Orin Nano System-On-Modules Advances Edge AI & Robotics Performance

By Tiera Oliver

Assistant Managing Editor

Embedded Computing Design

September 20, 2022

News

NVIDIA Jetson Orin Nano System-On-Modules Advances Edge AI & Robotics Performance

SANTA CLARA, CA – Today, NVIDIA released a new line of Jetson Orin Nano system-on-modules (SoMs), an expansion of the previous Jetson Nano series that’s 80x faster with the ability to deliver up to 40 trillion operations per second (TOPS) of AI performance in a small, compact package.

Available in January for $199, the Orin Nano will feature in two versions, an 8GB with 40 TOPS and power configurable from 7W to 15W, and a 4GB SoM with up to 20 TOPS and 5W to 10W power options.

The new Orin Nano SoMs feature the NVIDIA Ampere GPU architecture which includes eight streaming multiprocessors, made up of 1024 CUDA cores and up to 32 Tensor Cores, for AI processing. The GPU architecture enables the creation of complex AI models for retail analytics and industrial quality control. The modules enable the design of one system with pin-compatible support for several Jetson modules, such as Orin NX modules, and full emulation with the AGX Orin developer kit. 

Additional processing is distributed by the 6-core Arm Cortex-A78AE CPU for video decode engine, ISP, video image compositor, audio processing engine, and video input block. The Orin Nano also supports the ability to simultaneously run multiple AI pipelines with the support of high speed I/O, such as seven lanes of PCIe Gen3, three 10-Gbps USB 3.2 Gen2 ports, eight lanes of MIPI CSI-2 camera ports, and diverse sensor I/O options.

Further support for the Orin Nano includes the NVIDIA JetPack™ SDK, powered by the NVIDIA CUDAX™ accelerated computing stack for AI applications, with even more support provided by the most recent Isaac software for ROS.

For more information about the Orin Nano, visit: nvidianews.nvidia.com

Tiera Oliver is the assistant managing editor at Embedded Computing Design. She is responsible for web content editing, product news, and story development. She also manages, edits, and develops content for ECD podcasts, including Embedded Insiders.

She utilizes her expertise in journalism and content management to oversee editorial content, coordinate with editors, and ensure high-quality output across web, print, and multimedia platforms. She manages diverse projects, assists in the production of digital magazines, and hosts company podcasts by conducting in-depth interviews with industry leaders to deliver engaging and insightful discussions.

Tiera attended Northern Arizona University, where she received her bachelor's in journalism and political science. She was also a news reporter for the student-led newspaper, The Lumberjack. 

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