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To help customers easily move AI and machine learning workloads to the edge, NVIDIA worked with Amazon Web Services to qualify AWS Internet of Things Greengrass to run optimally with Jetson-powered devices such as Jetson Nano. We’re able to drive new experiences that enable people to work better, thanks to the Jetson platform’s advanced AI at the edge capabilities.” “Our work with NVIDIA and use of the Jetson family lineup is key to our success. “Cisco Collaboration is on a mission to connect everyone, everywhere for rich and immersive meetings,” said Sandeep Mehra, vice president and general manager for Webex Devices at Cisco.
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Because the AI workloads are entirely software defined, companies can update performance and capabilities even after the system has been deployed. The design comes complete with power management, clocking, memory and fully accessible input/outputs.
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It is designed to reduce overall development time and bring products to market faster by reducing the time spent in hardware design, test and verification of a complex, robust, power-efficient AI system.
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The Jetson Nano module brings to life a new world of embedded applications, including network video recorders, home robots and intelligent gateways with full analytics capabilities. In the past, companies have been constrained by the challenges of size, power, cost and AI compute density. “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.” “The Jetson Nano Developer Kit is exciting because it brings advanced AI to the DIY movement in a really easy-to-use way,” said Chris Anderson of DIY Robocars, DIY Drones and the Linux Foundation’s Dronecode project. NVIDIA also manages the Jetson developer forum, where people can get answers to technical questions. The kit comes with out-of-the-box support for full desktop Linux, compatibility with many popular peripherals and accessories, and ready-to-use projects and tutorials that help makers get started with AI fast. They can build AI projects that weren’t previously possible and take existing projects to the next level - mobile robots and drones, digital assistants, automated appliances and more. The power of AI is largely out of reach for the maker community and in education because typical technologies do not pack enough computing power and lack an AI software platform.Īt $99, the Jetson Nano Developer Kit brings the power of modern AI to a low-cost platform, enabling a new wave of innovation from makers, inventors, developers and students. “Bringing AI to the maker movement opens up a whole new world of innovation, inspiring people to create the next big thing.” “Jetson Nano makes AI more accessible to everyone - and is supported by the same underlying architecture and software that powers our nation’s supercomputers,” said Deepu Talla, vice president and general manager of Autonomous Machines at NVIDIA. 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. Jetson Nano joins the Jetson™ family lineup, which also includes the powerful Jetson AGX Xavier ™ for fully autonomous machines and Jetson TX2 for AI at the edge. It also supports many popular AI frameworks, making it easy for developers to integrate their preferred models and frameworks into the product.
Jetson Nano supports high-resolution sensors, can process many sensors in parallel and can run multiple modern neural networks on each sensor stream. Unveiled at the GPU Technology Conference by NVIDIA founder and CEO Jensen Huang, Jetson Nano comes in two versions - the $99 devkit for developers, makers and enthusiasts and the $129 production-ready module for companies looking to create mass-market edge systems. The small but powerful CUDA-X™ AI computer delivers 472 GFLOPS of compute performance for running modern AI workloads and is highly power-efficient, consuming as little as 5 watts. GPU Technology Conference-NVIDIA today announced the Jetson Nano ™, an AI computer that makes it possible to create millions of intelligent systems.
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