The Avocado operating system has been added SolidRun’s RZ/V2N-based platforms for developers to build vision AI systems. Thus, industrial automation, remote sensing and outdoor monitoring applications are now provided 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 1.8GHz, 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 8GB 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, CAN FD, 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.
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.
“Getting to a working prototype is only half the battle in physical AI. The harder problem is deploying, managing, and maintaining those systems at scale. By making Avocado OS available on our RZ/V2N-based platforms, we’re giving developers a clear, proven path from prototype to production fleet, backed by the hardware performance and reliability they need for demanding vision AI workloads,” said Dr Atai Ziv, CEO of SolidRun.
