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Jetson Nano, an AI computer with increased accessibility at a reasonable price, "enriches the AI ecosystem"
NVIDIA Jetson Nano Developer Kit on Sale for $99
NVIDIA and Hancom MDS Respond Immediately to Technical Questions
Jetson Nano to Usher in a New Era of Embedded IoT Products
On March 19, 2019, NVIDIA CEO Jensen Huang unveiled the $99 Jetson Nano developer kit for developers and manufacturers at the GPU Technology Conference (GTC 2019).

The Jetson Nano, a small AI computer based on CUDA-X, is power-efficient, processing the latest AI workloads at a computational speed of 472 gigaflops (GFLOPS) while consuming only 5W of power.
The Jetson Nano is part of the Jetson family of products, along with the Jetson AGX Xavier and Jetson TX2. Ideal for enterprises, startups, and researchers, the Jetson family has become more accessible with the launch of the affordable Jetson Nano.
There is a country where interest in the Jetson Nano developer kit was intense. It is Korea.
Accordingly, on the 24th, NVIDIA held the 'NVIDIA Jetson Developer Meetup' at Naver D2 Factory with Hancom MDS to share the latest AI and robotics technologies and development experiences.

The Jetson Nano Developer Kit supports Linux for desktop and is compatible with a wide range of popular peripherals and accessories. In addition, it comes with RTU projects and tutorials that enable manufacturers to quickly and easily launch AI projects. NVIDIA also provides answers to technical questions for users through the Jetson Developer Forum.
At this event, NVIDIA officially introduced the Jetson Nano developer kit to the Korean market for the first time and held an on-site discount event where users could purchase it immediately. In addition, the Jetson Nano Starter Kit, Jetson TX1 Developer Kit, and Jetson AGX Xavier Developer Kit were also included. In addition, demonstrations of products utilizing each kit were prepared.
This event was held in a total of three sections.

First, NVIDIA's Senior Vice President Cha Jeong-hun conducted the Jetson platform update. Executive Director Cha emphasized that the Jetson Nano can help develop low-cost, low-power, small AI systems.
He went on to say that the Jetson Nano has diverse applications and will usher in a new era by being utilized in embedded IoT applications such as entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

In addition, Kim Jong-gak, a representative from Hancom MDS, a distributor of Jetson who held the event with NVIDIA on this day, stated, “Many companies are currently researching Jetson and are producing products through MOUs,” adding, “Hancom MDS will spare no effort to resolve the difficulties faced by companies looking to utilize Jetson as quickly as possible.”
The second section featured Lee Ju-young, a principal researcher at Zytron, who introduced a case study on the implementation of a model car-based autonomous driving solution. Researcher Lee shared with the attendees how he resolved various challenges encountered while building RC car-sized autonomous vehicles to participate in autonomous driving competitions at various universities.
In the third section, Senior Engineer Junho Jeong of FALINUX introduced the process of manufacturing a carrier board for the Jetson TX2 module. In addition, the BSP application process for the manufactured carrier board was introduced.
"No matter how good an idea is, it cannot be brought to life alone," said Cha Jeong-hoon, Senior Vice President at NVIDIA. "I hope that through events like this meetup, we can share ideas and exchange opinions with one another."

He shared his thoughts on the meetup, saying, "I hope that at the next meetup, we can bring the products we are developing and have many conversations," and added, "The process of communication will eventually become business, and through this, the AI ecosystem can become even richer."
Meanwhile, the Jetson Nano module is priced at $129 (for orders of 1,000 or more) with delivery scheduled for June. The module is also available for purchase through NVIDIA's global distributors.
NVIDIA and Hancom MDS Respond Immediately to Technical Questions
Jetson Nano to Usher in a New Era of Embedded IoT Products
On March 19, 2019, NVIDIA CEO Jensen Huang unveiled the $99 Jetson Nano developer kit for developers and manufacturers at the GPU Technology Conference (GTC 2019).

NVIDIA Jetson Nano Developer Kit
The Jetson Nano, a small AI computer based on CUDA-X, is power-efficient, processing the latest AI workloads at a computational speed of 472 gigaflops (GFLOPS) while consuming only 5W of power.
The Jetson Nano is part of the Jetson family of products, along with the Jetson AGX Xavier and Jetson TX2. Ideal for enterprises, startups, and researchers, the Jetson family has become more accessible with the launch of the affordable Jetson Nano.
There is a country where interest in the Jetson Nano developer kit was intense. It is Korea.
Accordingly, on the 24th, NVIDIA held the 'NVIDIA Jetson Developer Meetup' at Naver D2 Factory with Hancom MDS to share the latest AI and robotics technologies and development experiences.

Jetson Nano developer kit being sold on-site
The Jetson Nano Developer Kit supports Linux for desktop and is compatible with a wide range of popular peripherals and accessories. In addition, it comes with RTU projects and tutorials that enable manufacturers to quickly and easily launch AI projects. NVIDIA also provides answers to technical questions for users through the Jetson Developer Forum.
At this event, NVIDIA officially introduced the Jetson Nano developer kit to the Korean market for the first time and held an on-site discount event where users could purchase it immediately. In addition, the Jetson Nano Starter Kit, Jetson TX1 Developer Kit, and Jetson AGX Xavier Developer Kit were also included. In addition, demonstrations of products utilizing each kit were prepared.
This event was held in a total of three sections.

NVIDIA Executive Director Cha Jeong-hoon
First, NVIDIA's Senior Vice President Cha Jeong-hun conducted the Jetson platform update. Executive Director Cha emphasized that the Jetson Nano can help develop low-cost, low-power, small AI systems.
He went on to say that the Jetson Nano has diverse applications and will usher in a new era by being utilized in embedded IoT applications such as entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

Hancom MDS Assistant Manager Kim Jong-gak
In addition, Kim Jong-gak, a representative from Hancom MDS, a distributor of Jetson who held the event with NVIDIA on this day, stated, “Many companies are currently researching Jetson and are producing products through MOUs,” adding, “Hancom MDS will spare no effort to resolve the difficulties faced by companies looking to utilize Jetson as quickly as possible.”
The second section featured Lee Ju-young, a principal researcher at Zytron, who introduced a case study on the implementation of a model car-based autonomous driving solution. Researcher Lee shared with the attendees how he resolved various challenges encountered while building RC car-sized autonomous vehicles to participate in autonomous driving competitions at various universities.
In the third section, Senior Engineer Junho Jeong of FALINUX introduced the process of manufacturing a carrier board for the Jetson TX2 module. In addition, the BSP application process for the manufactured carrier board was introduced.
"No matter how good an idea is, it cannot be brought to life alone," said Cha Jeong-hoon, Senior Vice President at NVIDIA. "I hope that through events like this meetup, we can share ideas and exchange opinions with one another."

Engineers who participated in the NVIDIA Jetson developer meetup
He shared his thoughts on the meetup, saying, "I hope that at the next meetup, we can bring the products we are developing and have many conversations," and added, "The process of communication will eventually become business, and through this, the AI ecosystem can become even richer."
Meanwhile, the Jetson Nano module is priced at $129 (for orders of 1,000 or more) with delivery scheduled for June. The module is also available for purchase through NVIDIA's global distributors.
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