Powered by SOPHON AI processor BM1684, this computer can be configured with 12GB large RAM. INT8 computing power
is up to 17.6TOPS.
It supports mainstream frameworks and complete toolchain with high usability, featuring low cost of algorithm migration.
It can be applied to various AI scenarios, such as visual computing, edge computing, general computing power services,
intelligent transportation, smart classes, unmanned supermarkets, security surveillance, UAV etc.
This computer is powered by SOPHON AI processor BM1684, which is 8-core ARM
Cortex-A53, 12nm lithography process and up to 2.3GHz clock
speed. With up to 17.6Tops INT8 computing power or 2.2Tops FP32 high-precision computing power, it supports mainstream programming
frameworks, which can be widely used in artificial intelligence inference for cloud and edge applications.
Up to 32-channel 1080P H.264/H.265 video decoding is supported. It can process
and analyze more than 16-channel HD video at the same time,
meeting the needs of various AI application scenarios, such as face detection on video streaming, license plate recognition, etc.
Based on INT8 quantified Batch4 measured data, EC-A1684JD4 has higher throughput
and energy efficiency ratio than the
mainstream intelligent computing module platform in the industry, and has more advantages in performance.
It supports dual 1000Mbps Ethernet, 2.4GHz/5GHz dual-band WiFi, expandable 5G/4G LTE network, enabling higher-rate communication.
The MNNSDK2 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 EC-A1684JD4 high-performance computer and a complete software framework,
Artificial Intelligence inference for cloud and edge applications
can be easily achieved. All of them accelerate development of edge applications, such as face recognition, video structuring,
abnormal alarm, equipment inspection, and situation prediction, etc.
With HDMI, mSATA, USB3.0, USB2.0, RS485 and RS232, this computer can be directly applied to AI edge computing products
The computer can efficiently adapt to all AI
algorithms on the market and integrate into edge computing boxes, which promote development
of industries through AI, such as visual computing, edge computing, general computing power services, Artificial Intelligence, intelligent
construction site, intelligent transportation, smart classes, unmanned supermarkets, security surveillance
Integrated high-performance ARM A53, 12nm lithography process, clock speed up to 2.3GHz
Built-in tensor computing module TPU, computing power up to:
17.6T (INT8) / 2.2T (FP32) / 35.2 T (INT8, enable winograd)
TPU contains 64 NPU arithmetic units, each NPU contains 16 EU arithmetic units, 1024 EU in total
Support mainstream programming frameworks, such as TensorFlow / Caffe / PyTorch / Paddle /
ONNX / MXNet / Tengine / DarkNet
Up to 32-channel H.265/H.264 1080p@30fps video decoding
1080p@50fps video encoding
MJPEG image encoding and decoding up to 1080P@480fps
M.2 SATA3.0 SSD（2242）×1
TFcard slot ×1
1000Mbps Ethernet ×2
2.4GHz/5GHz dual-band WiFi, 802.11a/b/g/n/ac
expanded with 4G LTE (Mini PCIe interface), 5G (M.2)
HDMI1.4 audio output×1
M.2 SATA3.0 (expanded with 2242 SATA SSD) ×1
USB3.0 (current limit: 1A) ×2
USB2.0 (current limit: 500mA) ×2
Upgrade firmwares through TF card
Operating Temperature: -20℃～60℃
Storage Temperature: -20℃～70℃
Operating humidity: 10%～90% (non-condensing)