DSP, Micros & Memory


Accelerate development of physical AI deployments

31 July 2026 DSP, Micros & Memory


SolidRun and Peridio, the company behind Avocado OS, the production-grade operating system purpose-built for Physical AI, has announced the availability of Avocado OS on SolidRun’s RZ/V2N-based platforms. With this milestone, developers building vision AI systems for industrial automation, remote sensing, and outdoor monitoring applications now have a complete, production-ready path from hardware evaluation to large-scale fleet deployment.

The Renesas RZ/V2N SoC at the heart of SolidRun’s RZ/V2N SOM delivers a quad-core Arm Cortex-A55 processor running at up to 1,8 GHz, a dedicated DRP-AI3 neural accelerator with up to 15 TOPS of AI inference performance, an Arm Mali-G31 3D GPU, and 4K H.264/H.265 video encode/decode, with up to 8 GB of LPDDR4x memory. The HummingBoard RZ-V2N-AIoT puts that compute to work as a developer single-board computer, offering industrial I/O including dual Gigabit Ethernet, CANFD, RS232/RS485, and MIPI-DSI display support across an extended -40°C to 85°C temperature range. The SolidSense AIoT V2N packages the same RZ/V2N compute into a self-contained, IP64-rated outdoor gateway with an integrated Sony IMX678 camera, IR illumination, and wireless connectivity via Wi-Fi, Bluetooth, and LTE, designed for autonomous operation in remote, infrastructure-free environments on battery or solar power.

Now paired with Avocado OS, these platforms add a production-hardened software layer that eliminates the infrastructure work that traditionally delays physical AI deployments. Together, SolidRun’s hardware and Peridio’s Avocado OS provide a tightly integrated foundation that lets teams focus on their application rather than the infrastructure needed to get it to market and keep it running.

Target applications enabled by the combined SolidRun + Avocado OS platform include:

• Industrial automation & machine vision

• Mobile robotics/AMRs & AGVs

• Remote sensing & outdoor monitoring

• Smart infrastructure & predictive maintenance

• Edge AI inference at scale


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