
Pine64 Ox64
Pico-sized RISC-V SBC powered by the Bouffalo Lab BL808 triple-core SoC with WiFi, BLE 5.0, and Zigbee. Features 64MB PSRAM, up to 16MB flash, microSD slot, USB-C with MIPI-CSI camera support, and 26 GPIO pins. Runs Linux, NuttX, and FreeRTOS. Priced from $6.
$6.00
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Specifications
Components
Bus Interfaces
GPIO Map
Overview
The Pine64 Ox64 is an ultra-compact RISC-V single board computer in the Raspberry Pi Pico form factor, built around the Bouffalo Lab BL808 triple-core SoC. At just 51mm x 21mm, it packs three RISC-V cores — a 64-bit T-Head C906 at 480MHz for running Linux, a 32-bit T-Head E907 at 320MHz for real-time tasks, and a low-power T-Head E902 at 150MHz — along with 64MB of embedded PSRAM and triple-protocol wireless connectivity (WiFi 802.11 b/g/n, BLE 5.0, and Zigbee).
The board comes in two flash variants: a 16MB version suitable for RTOS-only applications and a 128MB version with microSD slot capable of running Linux via the community-maintained OpenBouffalo Buildroot distribution. The USB-C port doubles as a MIPI-CSI camera interface, enabling computer vision projects powered by the BL808's built-in BLAI-100 NPU with H.264 encoding capability.
The Ox64 is the most affordable Linux-capable RISC-V SBC available, offering a unique combination of triple-protocol wireless, AI inference hardware, and camera support in a breadboard-friendly package. The active community around OpenBouffalo and Apache NuttX continues to improve software support, making it an excellent platform for RISC-V Linux experimentation and IoT gateway applications.
Use Cases
4IoT
Internet of Things applications including connected sensors, actuators, and smart devices that communicate over WiFi, BLE, LoRa, or other wireless protocols.
IoT Gateway
Acting as a local IoT gateway that aggregates data from sensors, runs MQTT broker, Node-RED, or Home Assistant, and bridges to the cloud.
Security Camera
WiFi-connected camera for surveillance, motion detection, and remote video monitoring.
Environmental Monitoring
Monitoring environmental conditions like temperature, humidity, air quality, and weather data using remote sensors.
Resources
Available Software
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