Banana Pi BPI-AI2N — Renesas RZ/V2N SoM and Carrier Board for Vision AI

Specifications

Overview

The Banana Pi BPI-AI2N pairs a system-on-module built on the Renesas RZ/V2N with a carrier board laid out along the lines of a Jetson Nano. The split matters commercially: the 260-pin SO-DIMM module carries the SoC, memory, storage and PMIC, so a product can be designed once around the module and reworked later without redesigning the baseboard.

Vision AI is handled by Renesas's DRP-AI3 dynamically reconfigurable processor, rated at up to 4 dense TOPS or 15 sparse TOPS. That sits alongside a quad-core Cortex-A55 cluster at 1.8 GHz, an Arm Mali-G31 GPU with OpenGL ES 3.2 and OpenCL 2.0 FP, H.264 decode up to 1080p60 and H.265 up to 4K30. The module carries 8 GB of LPDDR4X, 32 GB of eMMC and 64 MB of SPI flash, and its two Realtek RTL8211F Gigabit controllers are brought out as dual RJ45 on the carrier.

The carrier board adds an M.2 Key-M 2280 socket for NVMe storage, a MIPI DSI display connector, two MIPI CSI camera connectors, dual Gigabit Ethernet, and Wi-Fi 5 with Bluetooth 4.2 through an RTL8821CU USB module. The Jetson Nano-derived mechanical layout means existing enclosures, camera brackets and cabling designed around that footprint are largely reusable, which is the practical argument for choosing this module over another RZ/V2N board.

Key Benefits

DRP-AI3 accelerator at 15 TOPS sparse targets Vision AI inference on a low-power, low-cost RZ/V2N platform. 260-pin SO-DIMM module with on-module PMIC separates the design cycle from the manufacturing cycle. 8 GB LPDDR4X, 32 GB eMMC and 64 MB SPI flash are populated on the module, so the carrier needs no memory design. M.2 2280 NVMe plus dual MIPI CSI and dual Gigabit Ethernet on a Jetson-Nano-style layout makes it a drop-in alternative for existing vision enclosures.

Applications

Vision AI cameras and inspection systems, industrial robotics and AGV perception, smart-city and access-control vision, retail analytics endpoints, replacement of Jetson Nano class boards where a Renesas DRP-AI pipeline is preferred.

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