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NVIDIA’s US$200 Jetson Orin Nano pushes the boundaries for edge AI tech

By Ken Wong - on 21 Sep 2022, 6:28am

NVIDIA’s US$200 Jetson Orin Nano pushes the boundaries for edge AI tech

The Jetson Orin Nano SoM. Image source: NVIDIA.

Amid NVIDIA’s Fall GTC Conference 2022, the company took the wraps off the expansion to the Jetson lineup by introducing the Jetson Orin Nano. This system-on-module (SOM) will power the next generation of entry-level AI and robotics, NVIDIA said.

Think of a System-on-Module (SOM) a level higher than a system-on-a-chip (SOC) but less than a computer. It provides the core components of an embedded processing system — including processor cores, communication interfaces, and memory blocks — on a single production-ready printed circuit board.

NVIDIA says that these new Orin Nano modules are 80 times faster than the previous generation Jetson Nano that was launched in 2019. Jetson AGX Orin was introduced at NVIDIA GTC 2022 in March and was to help drive edge computing and moving analytics at the edge. Orin Nano expands the portfolio with more affordable configurations.

Back in 2019, you got a 128-core pared-down NVIDIA Tegra TX1 processor and 4GB of 64-bit LPDDR4 memory, 16GB of storage, in a form factor of only 45 x 70mm. All starting at the bargain price of US$99.

There are now six Orin-based production modules to support a full range of edge AI and robotics applications.

The new Jetson Orin Nano features an NVIDIA Ampere architecture GPU, Arm-based CPUs, next-generation deep learning and vision accelerators, high-speed interfaces, fast memory bandwidth and multimodal sensor support. It will be available in two variants, one with 8GB memory and up to 40 TOPS, and one with 4GB memory and up to 20 TOPS. In terms of power consumption, the SOM needs next to nothing: The former requires between 7 watts and 15 watts while the latter only needs 5 watts to 10 watts.

NVIDIA says that it can handle up to 40 trillion operations per second (TOPS) of AI-related tasks. It’s also fully compatible with Nvidia’s Orin NX modules, including full emulation support that will enable Nvidia’s customers to design around multiple Jetson modules. Other perks include support for multiple concurrent AI application pipelines, complete with fast inputs and outputs.

The company says that the compatibility with other Orin modules will make the new Orin Nano attractive to the 1,000 early adopters like Canon, John Deere, Microsoft Azure, Teradyne, TK Elevator, and many more.

 

Pricing and availability

The Jetson Orin Nano modules will be available in January starting at US$199. We will update this article with local pricing and availability when we have more information.

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