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The new Jetson Nano expands access to AI learning and development.
Includes free online training and AI certification program.
▲NVIDIA logo [Photo = NVIDIA]
NVIDIA announced on the 6th that it will expand the supply of its NVIDIA Jetson platform for edge AI into a popular developer kit priced at US$59 (approximately KRW 68,000).
The NVIDIA Jetson Nano 2GB Developer Kit is designed to enable hands-on AI education and learning through projects in areas like robotics and the Internet of Things (IoT). To support this effort, NVIDIA also offers free online training and AI certification programs.
The NVIDIA JetPack SDK, which supports Jetson, comes with the NVIDIA container runtime and a Linux development environment. Additionally, the Jetson Nano 2GB Developer Kit is powered by the same NVIDIA CUDA-X accelerated computing stack used to create breakthrough AI products in areas like self-driving cars, industrial IoT, healthcare, and smart cities.
“Students and engineers today will be interacting with and applying AI to robots,” said Deepu Talla, vice president and general manager of Edge Computing at NVIDIA. “The new Jetson Nano is an entry-level AI computer that enables hands-on learning and experimentation.”
“Integrating NVIDIA Jetson Nano into DuckyTown provides a cutting-edge computing solution for autonomous learning,” said Emilio Frazzoli, professor of dynamic systems and control at ETH Zurich.
Includes free online training and AI certification program.

▲NVIDIA logo [Photo = NVIDIA]
NVIDIA announced on the 6th that it will expand the supply of its NVIDIA Jetson platform for edge AI into a popular developer kit priced at US$59 (approximately KRW 68,000).
The NVIDIA Jetson Nano 2GB Developer Kit is designed to enable hands-on AI education and learning through projects in areas like robotics and the Internet of Things (IoT). To support this effort, NVIDIA also offers free online training and AI certification programs.
The NVIDIA JetPack SDK, which supports Jetson, comes with the NVIDIA container runtime and a Linux development environment. Additionally, the Jetson Nano 2GB Developer Kit is powered by the same NVIDIA CUDA-X accelerated computing stack used to create breakthrough AI products in areas like self-driving cars, industrial IoT, healthcare, and smart cities.
“Students and engineers today will be interacting with and applying AI to robots,” said Deepu Talla, vice president and general manager of Edge Computing at NVIDIA. “The new Jetson Nano is an entry-level AI computer that enables hands-on learning and experimentation.”
“Integrating NVIDIA Jetson Nano into DuckyTown provides a cutting-edge computing solution for autonomous learning,” said Emilio Frazzoli, professor of dynamic systems and control at ETH Zurich.
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