Peridio provides the production infrastructure for physical AI, giving hardware teams a complete embedded Linux platform for NXP i.MX System on Modules – from first prototype to fleet-scale production. At its core is Avocado OS, a turnkey, immutable, Yocto-based Linux distribution, paired with Peridio Core for over-the-air (OTA) updates, secure boot, observability, and fleet management. Together, they replace a do-it-yourself Yocto stack with one supported OS and device-management platform, so teams building on Variscite SoMs can ship production-ready devices in weeks – with signed updates, instant rollback, and reproducible builds enabled by default.
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In a step forward for edge AI, Variscite has announced a new partnership with Peridio, a cutting-edge player in the AIoT (Artificial Intelligence of Things) field. This collaboration offers Variscite customers an advantage by accelerating the development and deployment of edge AI and machine learning (ML) applications.
A Partnership Built for AIoT Excellence
The Peridio platform provides a powerful toolset for building, managing, and monitoring AI applications at the edge. Through this partnership, Variscite customers gain access to Peridio’s workflows and tools, streamlining the development of advanced AIoT solutions. Additionally, Peridio’s platform allows Variscite customers to manage edge devices in the field with secure, bandwidth-efficient over-the-air (OTA) updates and performance monitoring, simplifying the rollout of updates and the maintenance of AI/ML models.
A Partnership Built for AIoT Excellence
The Peridio platform provides a powerful toolset for building, managing, and monitoring AI applications at the edge. Through this partnership, Variscite customers gain access to Peridio’s workflows and tools, streamlining the development of advanced AIoT solutions. Additionally, Peridio’s platform allows Variscite customers to manage edge devices in the field with secure, bandwidth-efficient over-the-air (OTA) updates and performance monitoring, simplifying the rollout of updates and the maintenance of AI/ML models.
10.09.2024
