Today Nvidia released the Jetson Nano Dev embedded chip, which costs just $99 and can be used for AI edge computing from devices on the internet of things.
https://developer.nvidia.com/embedded/buy/jetson-nano-devkit
2.10 Deployment in Robots and Embedded Devices
Many SingularityNET services willrequirepowerfulcomputingresourcesandwill,therefore,be hosted in the cloud. However, the SingularityNET network itself is not heavyweight, and it is perfectly doable for services on the network to be embedded in robots, IoT devices, and other low-power devices. These components would run an embedded component that provides SDK and daemon functionalities, allowing them to call other services on the network while also providing services themselves—for instance, a sensor providing a data feed, which does not require much computation. This combination ofedge-embeddednetworknodesandcloud-based computing power opens upmanypossibilitiesinIoTandrobotics—someobvious,somecreative and unexpected. This will also enable robots, such as the humanoid robots from Hanson Roboticsandrobots from otherproviders,toacquirecognitiveservicesfromcloud-basedSingularityNETAIservices in exchange for micropayments and to receive micropayments from other SingularityNET network participants in exchange for data. It will also enablerobotstocarryoutsmalleconomic transactions with each other based on purely local network interactions where internet connectivity is an issue.
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