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Powered by SOPHON AI processor BM1684X, this mainboard can be configured with 16GB of RAM. With up to 32TOPS of
INT8 computing power,
it provides mainstream programming frameworks, open SDK, a one-stop AI development toolkit and a complete,
easy-to-use toolchain,
featuring easy deployment of algorithm applications and low cost of algorithm migration. This mainboard can be
applied to intelligent security,
intelligent transportation, smart park, smart retail, intelligent finance, smart city, smart industry, smart
energy and more.
This mainboard is powered by SOPHON AI processor BM1684X, which features octa-core ARM Cortex-A53, frequency of
up to 2.3GHz and 12nm
lithography process. With up to 32Tops (INT8) computing power, or 16TFLOPS (FP16/BF16) computing power, or 2Tops
(FP32) high-precision
computing power, it supports mainstream programming frameworks, and can be widely used in
artificial intelligence inference for cloud and edge applications.
The mainboard supports up to 32-channel 1080P H.264/H.265 video decoding. It is able to simultaneously process
and analyze
over 16-channel HD video, making it ideal for various AI applications such as face detection and license plate
recognition on video streaming.
With complete software and hardware, artificial intelligence inference for cloud and edge applications can be
easily achieved. All of them accelerate
the development of edge applications, such as face recognition, video structuring, abnormal alarm, equipment
inspection, and situation prediction, etc.
The SOPHON SDK one-stop deep learning development toolkit provides a series of software tools, including the
underlying driver environment,
compiler, and inference deployment tool. It supports mainstream frameworks: Caffe/TF/PyTorch/Mxnet/Paddle,
mainstream network
model and custom operator development, Docker containerization, and rapid deployment of algorithm applications.
It supports multiple algorithms porting such as "person/vehicle/object" recognition, video structuring, and
trajectory behavior,
with high security and reliability. It can be flexibly applied to various product development.
With PCIe3.0, GMAC, SDIO3.0, I2C, PWM, UART, GPIO interfaces, it is easy to integrate into various edge
embedded products, and accelerate product development.
SDK, tutorials, tech docs and dev tools are provided, making development simpler and more convenient.
The mainboard supports flexible deployment in multiple fields and scenarios, such as intelligent security,
intelligent transportation,
smart park, smart retail, intelligent finance, smart city, smart industry, and smart energy.
Basic specifications | |
SOC |
SOPHON BM1684X |
CPU |
High-performance octa-core ARM A53, 12nm lithography process, frequency up to 2.3GHz |
TPU |
Built-in tensor computing module TPU, computing power up to: 32TOPS (INT8), 16TFLOPS (FP16/BF16), 2TFLOPS (FP32) Support mainstream programming frameworks: TensorFlow / Caffe / PyTorch / Paddle / ONNX / MXNet / Tengine / DarkNet |
VPU |
32-channel H.265/H.264 1080p@25fps video decoding 32-channel 1080P@25fps HD video processing(decoding + AI analysis) Support 12-channel H.265/H.264 1080p@25fps video encoding |
RAM |
6GB/12GB/16GB LPDDR4/LPDDR4X |
Storage |
32GB/64GB/128GB eMMC, 128MB SPI Flash, 1*M.2 SATA3.0 SSD (2242), 1*TF card slot |
Ethernet |
2*1000Mbps Ethernet |
Wireless Network |
2.4GHz/5GHz dual-band WiFi, 802.11a/b/g/n/ac, capable of 4G LTE expansion (Mini PCIe), 5G (M.2) |
Video Output |
1*HDMI(1080p@30fps) |
Audio Output |
1*HDMI audio output |
USB |
2*USB3.0 (current limit: 1A), 2*USB2.0 (current limit: 500mA) |
Power |
DC 12V/5A (DC5.5×2.5mm) |
Other Interfaces |
1*RS232、1*RS485、1*Debug(3P-2.0mm)、1*FAN(12V,4P-1.25mm) |
OS |
Linux |
Dimension |
149mm × 97mm × 37.45mm |
Weight |
≈ 180g |
Environment |
Operating Temperature: -20℃~60℃ Storage Temperature: -20℃~70℃ Operating humidity: 10%~90% (non-condensing) |
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