BeagleV-Ahead
Open-source RISC-V single board computer with Alibaba T-Head TH1520 quad-core Xuantie C910 at 2GHz, 4 TOPS NPU, 4GB LPDDR4, 16GB eMMC, WiFi/Bluetooth, Gigabit Ethernet, micro-HDMI, and BeagleBone cape headers.
$149.00
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Specifications
Components
Alibaba T-Head TH1520 SoC with quad-core 64-bit RISC-V Xuantie C910 at 2GHz, 3-issue 8-execution superscalar, out-of-order pipeline, 64KB I/D L1 per core, 1MB shared L2
Imagination Technologies GPU delivering 50 GFLOPS and 3 Mpixel/s for display and graphics acceleration
Dedicated 4 TOPS INT8 neural processing unit at 1GHz for AI inference and machine learning workloads
Dual-band 2.4GHz and 5GHz WiFi with Bluetooth combo module
Realtek RTL8211F-VD-CG Gigabit Ethernet PHY with integrated magnetics RJ-45 connector
Dialog Semiconductor DA9063 PMIC providing complete power management for the SBC
Bus Interfaces
Overview
BeagleV-Ahead is an open-source RISC-V single board computer designed as an affordable pocket-size platform for exploring the RISC-V ISA. Featuring the Alibaba T-Head TH1520 SoC with quad-core 64-bit RISC-V Xuantie C910 at 2GHz, it includes BeagleBone Black cape header pins for expansion.
Key Features
- RISC-V Architecture: Quad-core 64GC Xuantie C910 at 2GHz
- Superscalar: 3-issue 8-execution with out-of-order pipeline
- 4 TOPS NPU: Neural processing unit at 1GHz for AI inference
- GPU: 50 GFLOPS Imagination BXM-4-64 GPU
- Video Codecs: H.265/H.264 decode at 4Kp75, encode at 4Kp40
- Dual ISP: Two image signal processors for camera applications
- Cape Headers: BeagleBone Black compatible expansion
Connectivity
- WiFi 2.4GHz & 5GHz (AP6203BM)
- Bluetooth
- Gigabit Ethernet (Realtek RTL8211F-VD-CG)
- micro-HDMI (Type-D)
- microUSB 3.0 (OTG + 5V power)
- mikroBUS shuttle connector (I2C/UART/SPI/ADC/PWM/GPIO)
- 2x CSI camera connectors (22-pin, RPi Zero/CM4 compatible)
- DSI display connector
- microSD card slot
Software Support
- Ubuntu Linux
- Yocto Linux
Use Cases
6RISC-V Development Platform
A development platform for learning, experimenting with, and building applications on the open RISC-V instruction set architecture.
ai-inference
Education
Teaching programming, electronics, and computer science concepts. Popular in schools, universities, and coding bootcamps.
Prototyping
Rapid hardware prototyping and proof-of-concept development with breadboard-friendly form factors and accessible development environments.
linux-development
Computer Vision
Image recognition, object detection, and ML inference using embedded cameras and AI-capable processors.
Resources
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