Coming Soon: A Preview of Mobile Edge AI

As artificial intelligence applications evolve rapidly, the requirements for portability, integration, energy management, and autonomous operation are increasing. Reliance on cloud-based solutions often leads to disruptions in software operations due to time-criticality, data privacy concerns, and internet connectivity requirements. Consequently, there is a growing need for AI applications capable of operating at the “edge.” To make AI applications edge-compatible, the software, hardware, and mechanical requirements of system components must be fully met. Current solutions often lack resilience against integration challenges, portability constraints, and power outages.

When firms launch R&D projects to address these issues, human resources and logistics costs increase AI software development expenditures by 43%. Even if these resource needs are met, the addition of hardware, mechanical, and integration tasks to development timelines diminishes developer productivity due to intense workloads. Furthermore, rapid technological advancements necessitate hardware updates, leading to complex changes in peripheral software and mechanics, which ultimately creates sustainability challenges in the product lifecycle.

Mobicom AI was developed to solve these specific challenges. It is a comprehensive computer system featuring an integrated slide-in battery pack for mobile resilience, Nvidia Jetson processors for edge computing, and a rugged mechanical enclosure designed for seamless integration in harsh environments.

With its advanced capabilities, Mobicom AI can power Nvidia Jetson AGX Orin and Orin NX processors for 180 minutes in mobile conditions. Its SOSA VPX-compliant architecture ensures rapid scalability, while its “plug-and-play” structure significantly reduces development time and R&D costs, providing direct solutions tailored to specific user needs.

By combining the processing power of Nvidia Jetson with a 180-minute battery life and SOSA VPX architecture, Mobicom AI eliminates the hardware and integration burden on software developers. It reduces R&D costs by 43% and accelerates the transition of projects from the laboratory to the field. With its scalable structure and sustainable product lifecycle, Mobicom AI serves as a strategic partner in minimizing operational risks.

Mobicom AI’s customizable architecture enables the processing of multi-channel and millisecond-latency video streams. While providing seamless data transfer via cellular or RF-Link connections, the peripheral connectivity infrastructure can be reconfigured with high-speed storage, additional accelerators, or ASIC-based PCIe modules.

On the software front, Mobicom AI offers full integration with modern tools such as Nvidia DeepStream and JetPack SDK for complex tasks including image processing, anomaly detection, and data analytics. Machine learning models trained on custom datasets are optimized through TensorRT to operate at peak performance within the Nvidia Jetson ecosystem. This end-to-end synergy between software and hardware ensures that raw field data is transformed into real-time, actionable intelligence.