Exploring the Collaboration Between Allxon and NVIDIA for Industrial Fleet Management on NVIDIA Jetson Orin

Exploring the Collaboration Between Allxon and NVIDIA for Industrial Fleet Management on NVIDIA Jetson Orin

Allxon Współpracuje z NVIDIA w Zarządzaniu Flotą Środowisk Przemysłowych na bazie NVIDIA Jetson Orin

In a promising partnership, Allxon has announced its collaboration with NVIDIA to manage fleets of NVIDIA Jetson Orin solutions in industrial environments. This new integration of the Allxon fleet management platform with NVIDIA Metropolis Microservices for Jetson contributes to the development of artificial intelligence (AI) at the edge of the network.

Allxon, a preferred external fleet management partner for NVIDIA, has taken early steps in integrating the NVIDIA Video Storage Toolkit with Allxon Plugin Station. As a provider of edge AI solutions, Allxon ensures the efficient deployment of thousands of AI devices while enabling easy software updates within Metropolis Microservices for Jetson, including the upcoming NVIDIA JetPack 6.

The remote In-Band and Out-Of-Band management services offered by Allxon provide NVIDIA Jetson developers with a powerful fleet management platform that operates reliably with Metropolis Microservices from the moment of deployment, saving significant development time and costs.

NVIDIA Metropolis Microservices for Jetson allows developers to update and enhance their applications while accessing the latest AI capabilities through simple API calls. The microservices available within this platform include video storage and management, AI infrastructures, and cloud connectivity. Additionally, developers have access to reference workflows that enable quick start-up.

Alex Liu, CEO of Allxon, emphasized the value and potential of AI-based solutions at the edge of the network. He expressed excitement about working with NVIDIA to integrate their platform with Metropolis Microservices for Jetson, accelerating the introduction of powerful new applications to the market and promoting the growth of AI at the network edge.

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