Powered by SOPHON's BM1684X AI processor, this computer can be configured with 16GB of RAM. With up to 32TOPS of
INT8 computing power,
it provides mainstream programming frameworks and a complete, easy-to-use toolchain, ensuring a low cost of algorithm migration. The device can be applied to visual computing, edge computing, general computing services, smart transportation, smart classrooms, unmanned supermarkets, surveillance security, and more.
This computer is equipped with the BM1684X, SOPHON's AI processor, featuring an octa-core ARM Cortex-A53, a
up to 2.3GHz, and a 12nm lithography process. With up to 32Tops (INT8) computing power, it supports mainstream programming
frameworks and can be widely used in artificial intelligence inference for cloud and edge applications.
The computer 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 in video streaming.
Based on measured data using Batch4 INT8 quantization, EC-A1684XJD4 has a higher throughput and energy
ratio than the mainstream intelligent computing module platforms in the industry, offering superior performance.
It supports dual 1000Mbps Ethernet, 2.4GHz/5GHz dual-band WiFi, and 5G/4G LTE network expansion, enabling higher-rate communication.
SOPHON SDK, a 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.
With complete software and hardware, AI inference for cloud and edge applications can be easily achieved. This
accelerates the development
of edge applications, such as face recognition, video structuring, abnormal alarm, equipment inspection, situation prediction, and more.
It supports the migration of multiple algorithms, including "persons/vehicles/objects" recognition, video
structuring, and trajectory behavior,
featuring high security and reliability. It can be flexibly applied to a wide range of product development.
With a variety of interfaces, including RS485, RS232, USB3.0, USB2.0, and HDMI, the device provides convenient
connectivity and communication, making it suitable for direct application in AI edge computing products.
We provide SDKs, tutorials, technical documents, and development tools, making development simpler and more convenient.
Efficiently compatible with all AI algorithms available in the market, this computer can be integrated into
products like edge computing boxes. It
provides powerful AI performance for a range of industries, including visual computing, edge computing, general computing power services,
artificial intelligence, smart construction sites, smart transportation, smart classrooms, unmanned supermarkets, and security surveillance.
High-performance octa-core ARM A53, 12nm lithography process, frequency up to 2.3GHz
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
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
1 * M.2 SATA3.0 SSD（2242）、
1*TF card slot
1000Mbps Ethernet ×2
22.4GHz / 5GHz dual-band WiFi，802.11a/b/g/n/ac，
Support Expansion 4G LTE（Mini PCIe）、5G（M.2）
1 * HDMI（1080p@30fps）
1 * HDMI Output
1 * M.2 SATA3.0 (Expansion 2242 SATA SSD)
2 * USB3.0（Max 1A）、
2 * USB2.0（Max 500mA）
1 * RS232、1 * RS485
210 * 130 * 44.5mm
Operating Temperature: -20 ℃~60 ℃
Storage Temperature: -20 ℃~70 ℃
Operating Humidity: 10%~90% RH (Non-condensation)