1. CV1800B/SG200x Series Development Board
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The CV1800B/SG200x series development boards are open-source hardware designed based on the SOPHON CV1800B/SG200x processors, capable of running operating systems based on LINUX and RTOS. They provide professionals, industrial OEM enterprises, IoT enthusiasts, amateur hobbyists, DIYers, and creators with a reliable, low-cost, and highly functional platform. These chips have successfully been ported to more than ten operating systems, including OpenEuler, ArchLinux, Fedora, Debian, OpenWRT, FreeRTOS, AliOS, RT-Thread, and have adapted software stacks such as opencv-mobile, ncnn, SQLite, while also supporting over 50 types of sensors.
2. Radxa Fogwise 1684X Mini Microserver
The Radxa Fogwise 1684X Mini microserver is equipped with the smart computing processor BM1684X, boasting up to 32Tops INT8 peak computing power, 16GB LPDDR4X memory, and 64GB eMMC. It supports mainstream programming frameworks (including TensorFlow, Caffe, PyTorch, Paddle, ONNX, MXNet, Tengine, and DarkNet), has a complete and easy-to-use toolchain, and offers a low cost of algorithm migration. It supports edge deployment of super-large parameter models such as ChatGLM2-6B, AIGC, Llama2, SAM, Whisper, etc. Without the need for expensive hardware and complex configuration environments, it offers plug-and-play with just an Ethernet cable, significantly lowering the barrier to entry and ensuring data security and privacy. It can be widely used in education, cultural tourism, industry, parks, IoT devices, and more.
3. Shaolin Pi Development Board
The Shaolin Pi development board is a BM1684-based development platform with approximately 20 TOPS of computing power. It uses the BM1684 as the core device, being fully autonomous and controllable, offering powerful computing capabilities and multi-channel video encoding and decoding. It supports 3 mini-PCIe lanes and 4 USB ports, allowing for the expansion of various peripheral modules. It can be optimally configured according to scenario requirements, with the most reasonable cost, optimal energy consumption, and the best functional choices. The hardware ecosystem is rich, with a variety of connectable peripherals. It supports a rich software development ecosystem and mainstream deep learning frameworks. The "Shaolin Pi" core board can be expanded with screens, keyboards, mice, cameras, headphones, VR, and other devices. You can DIY a full-scenario edge computing workstation on the "Shaolin Pi" to practice various experiments. It can also be embedded into unmanned vehicles and drones to realize edge computing for mobile terminals.
Note: Each team can only choose one piece of hardware to participate in the competition.
Due to the affordability of these development boards, they are only available for purchase independently: