Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
Cristian Bleotiu, Stefan Saraev, Bogdan Hobeanu, Andrei Ionut Damian

TL;DR
This paper introduces Naeural AI OS, a decentralized, low-code platform for scalable, cost-effective AI application deployment in ubiquitous computing environments, leveraging tokenized economics for secure collaboration.
Contribution
It presents a novel decentralized MLOps execution engine that simplifies AI pipeline development and deployment in pervasive computing contexts.
Findings
Enables low-code AI pipeline development in decentralized settings
Reduces infrastructure costs through community-based resource sharing
Ensures secure job distribution via tokenized economic mechanisms
Abstract
Over the past few years, ubiquitous, or pervasive computing has gained popularity as the primary approach for a wide range of applications, including enterprise-grade systems, consumer applications, and gaming systems. Ubiquitous computing refers to the integration of computing technologies into everyday objects and environments, creating a network of interconnected devices that can communicate with each other and with humans. By using ubiquitous computing technologies, communities can become more connected and efficient, with members able to communicate and collaborate more easily. This enabled interconnectedness and collaboration can lead to a more successful and sustainable community. The spread of ubiquitous computing, however, has emphasized the importance of automated learning and smart applications in general. Even though there have been significant strides in Artificial…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Cloud Computing and Resource Management
