Nvidia’s Jetson Nano Is A DIY AI Pc That Solely Prices $99

Joanna Estrada
March 21, 2019

However, Nvidia's not the only company with pocket-sized AI computers out there.

"The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost".

NVIDIA is releasing a US$99 AI computer called the Jetson Nano aimed at "developers, makers and enthusiasts" (via NVIDIA).

NVIDIA Jetson Nano mini PC
Nvidia’s new $99 pocket-sized AI computer is designed for DIY projects

The developer kit variant is larger, at 100 mm x 80 mm, and it only supports one camera data lane whereas the module variant supports 12. It also supports many popular AI frameworks, making it easy for developers to integrate their preferred models and frameworks into the product. At that, the new Nano can be considered as a game changer with its $99 price tag, as it makes AI computing more accessible. "Bringing A.I.to the maker movement opens up a whole new world of innovation, inspiring people to create the next big thing", he said. The AGX Xavier developer kit is priced at $1,299 and the TX2 at $599, after all. Ideal for enterprises, startups and researchers, the Jetson platform now extends its reach with Jetson Nano to 30 million makers, developers, inventors, and students globally.

They can build AI projects that weren't previously possible and supposedly take existing projects to the next level, mobile robots and drones, digital assistants, automated appliances, and more. Launched in the USA at $192 - a dollar per GPU core, Nvidia founder and chief executive Jensen Huang crowed during the unveiling - the part proved relatively unpopular despite its improved performance over cheaper alternatives, and when it came time to replace it the Jetson TX1 dropped the maker market for professionals with a $299-per-unit tray price. The NVIDIA Jetson Nano dev kit includes 4 GB of RAM, a microSD card slot, HDMI 2.0 and eDP 1.4 ports, four USB 3.0 ports, Gigabit Ethernet, and more. "We're planning to introduce this technology to our maker communities because it's a powerful, fun, and affordable platform that's a great way to teach deep learning and robotics to a broader audience".

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