Peridio, the company behind Avocado OS an operating system designed specifically for Physical AI has partnered with SolidRun, a leading provider of high-performance embedded computing platforms. Through this strategic collaboration, the companies aim to deliver a fully integrated and production-ready platform that simplifies how organizations build and deploy Physical AI solutions.

As intelligent systems rapidly expand across industries, companies are searching for reliable and scalable infrastructure. With this partnership, Peridio will bring its Avocado OS to SolidRun’s RZ/V2N System-on-Module (SoM), as well as to the HummingBoard AIoT and SolidSense AIoT platforms. These solutions are built on Renesas RZ/V2N silicon and serve as deployment-ready evaluation and development platforms. Consequently, hardware teams can now evaluate, develop, and deploy AI-powered devices without needing to build production infrastructure from the ground up.

AI Authority Trend: Deloitte Expands NVIDIA Alliance to Accelerate Physical AI Adoption

This collaboration ultimately gives hardware developers a strong foundation for bringing intelligent products to market faster. Instead of spending months creating backend infrastructure or integrating software layers, teams can focus directly on building their applications.

Accelerating the Path from Evaluation to Production

The growth of Physical AI is transforming industries such as manufacturing, agriculture, environmental monitoring, and security. Intelligent systems are increasingly being deployed on factory floors, across conservation zones, and along remote infrastructure. As a result, companies need platforms that enable quick evaluation while ensuring seamless transition into full-scale production.

SolidRun’s HummingBoard AIoT provides exactly that starting point. The compact and industrial-grade single-board computer is powered by the Renesas RZ/V2N SoC and offers up to 15 Sparse TOPS of neural processing power. Additionally, it includes a quad-core Cortex-A55 CPU, support for 4K video encoding and decoding, and pre-optimized compatibility with camera modules.

Moreover, the platform is designed for real-world deployments. It supports optional LTE connectivity, Gigabit Ethernet with optional Power-over-Ethernet (PoE), and several industrial interfaces. With an operating temperature range of –40°C to 85°C, it remains reliable even in demanding environments.

By integrating Avocado OS directly into the HummingBoard AIoT, the companies provide a validated full-stack platform right out of the box. Consequently, development teams can move from initial evaluation to production deployment within weeks rather than months. They also avoid time-consuming processes such as separate BSP integration, building custom OTA infrastructure, or assembling security toolchains.

“The HummingBoard AIoT is our core platform for teams building Physical AI products. It’s where customers start evaluate the hardware, build their application, prove it works and deploy,” said Alexander Schwartz, Head of Product at SolidRun. “With Avocado OS integrated from the start, that evaluation turns into a production deployment without skipping a beat. That’s what makes this partnership powerful.”

Combining Advanced Hardware with Production-Ready Software

At the center of SolidRun’s ecosystem is the RZ/V2N SoM, which powers both the HummingBoard AIoT and SolidSense AIoT platforms. This module serves as a powerful computing foundation capable of running advanced vision models directly on the device. It supports popular machine learning frameworks such as TensorFlow, PyTorch, and ONNX, while also offering a robust vision library and dataflow compiler. Thanks to its compact 47mm × 30mm form factor, developers can easily integrate it into a wide range of device designs.

Meanwhile, Avocado OS adds enterprise-grade software capabilities. The Linux-based operating system includes a validated board support package (BSP) for the RZ/V2N SoM and compatible platforms, ensuring seamless hardware integration. It also provides atomic over-the-air (OTA) updates with automatic rollback, secure boot functionality, and fleet-wide CVE tracking to maintain security across deployed devices.

AI Authority Trend: Ouster Completes StereoLabs Acquisition for Unified Physical AI Perception Platform

In addition, Peridio Core enhances device management capabilities by delivering centralized fleet management, remote diagnostics, and secure tunnel access. These features become especially important for organizations managing large deployments of devices across remote locations with limited connectivity.

“What SolidRun built with the RZ/V2N SoM ecosystem is exactly what Physical AI needs serious yet low power compute, serious connectivity, built for the real world,” said Bill Brock, CEO of Peridio. “Avocado OS means teams can take that hardware to production without building the infrastructure themselves. Evaluate, build, deploy.”

Enabling Real-World Physical AI Applications

The integrated platform supports a wide range of real-world use cases. For instance, organizations building smart cameras and computer vision systems can run on-device inference using up to 15 Sparse or 4 Dense TOPS of AI acceleration. These systems can also receive updates and management commands over the air.

Similarly, industrial automation and inspection environments benefit from the platform’s rugged design, industrial temperature tolerance, and connectivity options such as RS232 and PoE. These capabilities make integration with existing factory systems significantly easier.

In agriculture and environmental monitoring scenarios, the platform’s compact and durable design supports deployments in remote or off-grid locations. Optional LTE connectivity and flexible power configurations further improve reliability in challenging conditions.

Finally, enterprises managing large device fleets can leverage centralized policy enforcement, remote diagnostics, and secure access controls. These capabilities allow organizations to manage thousands of deployed AI devices efficiently and securely.

Overall, the partnership between Peridio and SolidRun aims to streamline the development and deployment of Physical AI solutions. By combining advanced hardware with production-ready software, the companies are helping hardware teams accelerate innovation while reducing complexity across the entire development lifecycle.

AI Authority Trend: Opentrons and NVIDIA Advance Physical AI Robotics for Autonomous Labs

To share your insights, please write to us at info@intentamplify.com