Banana Pi delivers up to 15 TOPS for local sparse AI

At the maker’s workbench, analysis begins where the image is created: Banana Pi offers the BPI-AI2N as a platform for local AI applications. Its Renesas RZ/V2N is designed for image processing and edge AI — AI directly on the device. Its acceleration reaches up to 15 TOPS, a measure of AI computing performance, on sparse computations. Four ARM Cortex-A55 cores ensure that the board can do more than accelerate AI tasks: it can also run full Linux applications.

As a module or together with a carrier board, the BPI-AI2N puts its interfaces within reach of custom projects. The board features two Gigabit Ethernet ports, two USB 3.0 ports, Wi-Fi, a microSD card slot and an M.2 Key-M slot for 2280-format SSDs. For cameras, there are two MIPI-CSI connectors, along with MIPI DSI for displays. A 40-pin GPIO header — connections for sensors, actuators and custom expansions — is also included.

This makes it possible to use multiple camera perspectives directly on the device: Banana Pi itself cites custom surveillance systems with local object detection, machine vision, robotics and other computer vision projects as potential applications. For example, the two camera connectors could support a stereo camera on a robot or the simultaneous analysis of different viewpoints. Processing does not have to send every image to the cloud first.

The product is specifically aimed at makers who want to process camera data locally, connect sensors and actuators or build their own board around the module. Banana Pi provides source code and images for Yocto and Armbian, respectively, and publishes schematics along with other hardware documentation. In the official Banana Pi store, the module costs $257, while the carrier board costs $25.30.

Banana Pi describes the BPI-AI2N as a development board for edge AI and image processing, not as a conventional Raspberry Pi replacement. The platform is already available in the official store; the performance figure of up to 15 TOPS explicitly applies to sparse computations.