BeagleV-Ahead RISC-V SBC - TH1520, 4GB RAM, 16GB eMMC, WiFi
The BeagleV-Ahead is a versatile RISC-V single-board computer powered by the T-Head TH1520 quad-core Xuantie C910 processor, featuring 4GB LPDDR4 RAM, 16GB eMMC, and integrated dual-band WiFi. Designed for AI, IoT, and embedded projects, it offers robust performance and extensive connectivity.
Features
- Features a quad-core RISC-V 64GCV Xuantie C910 CPU with a T-Head TH1520 SoC.
- Equipped with 4GB LPDDR4 RAM, 16GB on-board eMMC storage, and an NPU delivering 4TOPS@INT8 for AI inference.
- Provides integrated dual-band (2.4GHz/5GHz) WiFi and Gigabit Ethernet for versatile network connectivity.
- Offers a wide range of I/O, including USB 3.0, micro-HDMI, mikroBUS, CSI, and DSI for extensive peripheral integration.
- Supports multiple operating systems, making it suitable for complex AI systems and embedded development.
Out of stock
The BeagleV-Ahead represents a significant advancement in open-source hardware, integrating a powerful RISC-V instruction set architecture within a compact single-board computer form factor. At its core, the board utilizes the Alibaba T-Head TH1520 system-on-chip, which includes a quad-core RISC-V 64GCV Xuantie C910 CPU clocked at 2GHz, alongside an Imagination BXM-4-64 GPU and a dedicated Neural Processing Unit (NPU) capable of 4TOPS@INT8 for efficient edge AI acceleration.
Designed for flexibility, the BeagleV-Ahead provides 4GB of LPDDR4 RAM and 16GB of on-board eMMC flash storage, ensuring ample resources for complex applications. Its hybrid network connectivity is robust, featuring integrated 2.4GHz and 5GHz WiFi, complemented by a Gigabit Ethernet port for reliable wired connections. The board is further enhanced with a broad spectrum of I/O interfaces, including USB 3.0, micro-HDMI, microSD, CSI and DSI connectors for camera and display peripherals, and a mikroBUS shuttle connector for easy expansion with add-on boards. This makes the BeagleV-Ahead an ideal platform for a wide array of applications ranging from sophisticated AI systems and robotics to IoT gateways and general-purpose embedded projects.
Additional Information
| Weight | 0.049 kg |
|---|---|
| Dimensions | 10 × 6 × 4 cm |
















