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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA.

Compact yet powerful computer for AI at the edge recognized by the Edge AI and Vision Alliance.

The small but mighty NVIDIA Jetson Nano has added yet another accolade to the company’s armory of awards.

The Edge AI and Vision Alliance, a worldwide collection of companies creating and enabling applications for computer vision and edge AI, has named Jetson Nano its 2020 Vision Product of the Year Award for “Best AI Processor.”

Now in its third year, the Vision Product of the Year Awards were announced in five categories. The winning entries were chosen by an independent panel of judges based on innovation, impact on customers and the market, and competitive differentiation.

“Congratulations to NVIDIA on being selected for this prestigious award by our panel of independent judges,” said Jeff Bier, founder of the Edge AI and Vision Alliance. “NVIDIA is a pioneer in embedded computer vision and AI, and has sustained an impressive pace of innovation over many years.”

The NVIDIA Jetson Nano, launched last year, delivers powerful computing power for AI at the edge in a compact, easy-to-use platform with full software programmability. At just 70 x 45 mm, the Jetson Nano module is the smallest in the Jetson lineup.

But don’t let its credit card sized form factor fool you. With the performance and capabilities needed to run modern AI workloads fast, Jetson Nano delivers big when it comes to deploying AI at the edge across multiple industries — from robotics and smart cities to retail and healthcare.

Opening new possibilities for AI at the edge, Jetson Nano delivers up to 472 GFLOPS of accelerated computing and can run many modern neural networks in parallel.

It’s production-ready and supports all popular AI frameworks. This makes Jetson Nano ideal for developing AI-powered products such as IoT gateways, network video recorders, cameras, robots and optical inspection systems.

The system-on-module is powered by an NVIDIA Maxwell GPU and supported by the NVIDIA JetPack SDK, significantly expanding the choices now available for manufacturers, developers and educators looking for embedded edge-computing options that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.

This comprehensive software stack makes AI deployment on autonomous machines fast, reduces complexity and speeds time to market.

NVIDIA Jetson is the leading AI-at-the-edge computing platform, with nearly half a million developers. With support for cloud-native technologies now available across the full Jetson lineup, manufacturers of intelligent machines and developers of AI applications can build and deploy high-quality, software-defined features on embedded and edge devices targeting a wide variety of applications.

Cloud-native support allows users to implement frequent improvements, improve accuracy and quickly deploy new algorithms throughout an application’s lifecycle, at scale, while minimizing downtime.

Learn more about why the Edge AI and Vision Alliance selected Jetson Nano for its Best AI Processor award.

New to the Jetson platform? Get started.

Chelsea Pettigrew
Marketing Specialist, NVIDIA

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