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CSR2-N72R3588S
CSA1-N8S1684X
EC-R3576PC FD
EC-R3588RT 2G5
AIBOX-OrinNano
iHC-3568JGW
IPC-M10R800-A3399C V2
iCore-3576Q
iCore-3562JQ
Core-1688JD4
AIO-3576JD4
ROC-RK3576-PC
CT36L/CT36B
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), or 2Tops (FP32), 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
The mainboard supports multiple algorithms porting such as "person/vehicle/object" recognition, video
structuring, and trajectory behavior,
featuring high security and reliability. It can be flexibly applied to various product development
A variety of interfaces includes M.2 (5G), Mini PCIe, SATA3.0, Gigabit Ethernet, USB3.0, RS485, RELAY and GPIO
A core board is equipped with a high-speed industrial-grade connector with high reliability and stability. The
BTB interface provides a tight and firm
connection, allowing the core board to be combined with a backplane to form a complete, high-performance
industrial mainboard.
SDK, tutorials, technical documents, and development 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 |
16GB LPDDR4x |
Storage |
64GB eMMC 、128MB SPI Flash |
Ethernet |
2*1000Mbps Ethernet |
USB |
4 * USB3.0(Max:1A) |
Other Interfaces |
M.2(5G)、Mini PCIe、SATA3.0、Gigabit Ethernet、USB3.0、RS485、RELAY、GPIO |
Power |
DC 12V/5A(5.5mm*2.1mm) |
OS |
Linux |
Dimension |
183mm * 105mm * 41.8mm |
Weight |
≈380g(Including heat sink) |
Environment |
Operating Temperature: -20℃~60℃, Storage Temperature:-20℃~70℃, Operating humidity: 10%~90%(non-condensing) |
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