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NVIDIA’s Robotics Computer to Redefine Entry-Level Edge AI

Jetson Orin Nano 2 enables developers to run the latest large language models and vision language models optimized for memory-efficient edge inference.

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Nvidia Jetson Orin Nano 2
NVIDIA

NVIDIA announced NVIDIA Jetson Orin Nano 2, a new robotics computer set to redefine entry-level edge AI.

“Today’s small and medium frontier models have reached the accuracy of last year’s largest frontier models, unlocking real-time intelligence for edge devices,” says Deepu Talla, VP, robotics and edge AI at NVIDIA. “The Jetson Orin Nano 2 computer puts that breakthrough within reach of millions of developers, delivering the performance and energy efficiency needed for real-time reasoning at the edge.”

Key takeaways:

·        Featuring 78 trillion operations per second of AI compute, 8GB of memory and an 8-core Arm CPU, Jetson Orin Nano 2 achieves 2 times the inference performance of Jetson Orin Nano Super through improved Tensor Cores and higher memory bandwidth, while maintaining the same compact form factor. In 15-watt mode, Jetson Orin Nano 2 consumes 40% less power to deliver the same performance as its predecessor.

·        Powered by NVIDIA’s open software stack, NVIDIA Jetson agent skills and a rich AI ecosystem, Jetson Orin Nano 2 enables developers to run the latest large language models and vision language models optimized for memory-efficient edge inference.

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