Nvidia Unveils Jetson Orin Nano 2…78TOPS·2x Inference Performance

This page was machine-translated and may differ from the original. View original

Nvidia Unveils Jetson Orin Nano 2…78TOPS·2x Inference Performance

Published2026.08.26 08:56

Scheduled for launch in first half of 2027, Cognex, Doosan Bobcat, Matic, Wing and others reviewing early adoption

An edge AI robotics computer with 78TOPS AI computing performance and 2x inference performance compared to the previous model has been unveiled. It is reported to reduce power consumption by 40% based on equivalent performance, and the company announced support for integration with the NVIDIA Robotics Stack utilized by over 3 million developers.

On the 26th, NVIDIA unveiled a new robotics computer, the Jetson Orin Nano 2.

It is equipped with △78TOPS AI computing performance △8GB memory △8-core Arm CPU, and the module and developer kit are scheduled to launch in the first half of 2027.

The Jetson Orin Nano 2 applies enhanced Tensor Cores and high memory bandwidth to double inference performance while maintaining the same compact form factor as the existing Jetson Orin Nano Super, according to NVIDIA.

In 15-watt mode, it can reduce power consumption by 40% while maintaining performance equivalent to the previous model, the company added.

Based on the NVIDIA Open Software Stack and Jetson Agent Skills, the company explained that it supports execution of large language models (LLMs) and vision language models (VLMs) such as NVIDIA Cosmos, NVIDIA Nemotron, Gemma 4, and Qwen 3.

Deepu Talla, Vice President of NVIDIA Robotics and Edge AI, stated, "The Jetson Orin Nano 2 computer enables millions of developers to leverage the performance and energy efficiency needed for real-time inference in smart drones, robots, and vision AI systems."

Cognex, Doosan Bobcat, Matic, and Wing are among those reviewing or planning early adoption of the Jetson Orin Nano 2.

Alphabet subsidiary Wing announced plans to review adoption to enhance real-time AI recognition and inference capabilities in its drone delivery system.

Matic is integrating the module to implement conversational AI, gesture recognition, and precision mapping features in home cleaning robots.

Ecosystem partners including AAEON, ADLINK, Advantech, Aetina, Antmicro, Aptiv, Connect Tech, and Seeed Studio are participating in the development of carrier boards, hardware systems, and reference solutions.

#드론 #임베디드 #엣지 AI #로보틱스 #AI 컴퓨팅 #추론 성능 #자율로봇 #Jetson Orin Nano 2

본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.

배종인 기자

All articles by this reporter

관련뉴스

Nvidia is the 'Brain' and AMD is the 'Nervous System': The Physical AI Semiconductor War Begins in Earnest

The center of gravity in AI semiconductor competition is shifting beyond data center GPUs to 'Physical AI' such as robots, autonomous vehicles, and smart factories. Nvidia, led by CEO Jensen Huang, is seeking to reorganize the entire computing architecture by leading with its own Arm CPU and full-stack platform, while AMD, led by CEO Lisa Su, is emphasizing customer choice by leveraging x86 compatibility and an open ecosystem.

2026.06.11by 배종인 기자

NVIDIA and LG Group Collaborate Across Physical AI, Autonomous Driving, and Data Centers

Nvidia and the LG Group are entering into collaboration across AI data centers and Physical AI broadly. The core focus is to advance the construction of AI-based systems across diverse business domains including robotics, mobility, and data center infrastructure.

2026.06.11by 배종인 기자

NVIDIA and Doosan Group Expand Cooperation on Physical AI and AI Factory Infrastructure

Nvidia and Doosan Group are expanding their cooperation across Physical AI and AI datacenter infrastructure. The direction is to strengthen AI infrastructure construction capabilities by combining robotics, power systems, and electronic materials technologies.

2026.06.11by 배종인 기자

“AI will become a new industry, an AI factory will be the core infrastructure of the industrial revolution”

At the '2026 Semiconductor Business Achievement Exchange Meeting' held by the Ministry of Science and ICT on the 13th, Jeong So-young, CEO of NVIDIA Korea, delivered a keynote speech on the theme of 'Next Wave of New Industrial Revolution by AI Factory,' emphasizing that artificial intelligence (AI) is establishing itself as a core infrastructure for a new industrial revolution. #Next-Generation Intelligent Semiconductor Business Division

2026.07.14by 배종인 기자

Jensen Huang Secures Supply Chain in Korea and Market in Japan

On July 15th, Nvidia CEO Jensen Huang visited Japan and met with major Japanese companies and research institutions including Sega, SoftBank, Toyota, Mizuho Bank, and RIKEN over two days, announcing a series of AI collaboration projects. On the surface, these were partnership announcements across diverse sectors including gaming, finance, automotive, pharmaceuticals, and quantum computing. However, the industry is finding the true significance of this event elsewhere. The analysis suggests that while Jensen Huang's visit to Korea just a month prior focused on securing semiconductor supply chains, his Japan visit focused on building an AI ecosystem. In other words, if he met "a country that manufactures chips" in Korea, he met "a country that utilizes AI" in Japan.

2026.07.18by 배종인 기자