8-Core High Computing Power AI Computer
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.
New-gen AI processor BM1684
This computer is powered by SOPHON AI processor BM1684, which is an 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.
Powerful video AI performance
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.
High throughput and energy efficiency ratio
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.
Strong network expansion capability
It supports dual 1000Mbps Ethernet, 2.4GHz/5GHz dual-band WiFi, and expandable 5G/4G LTE network, enabling higher-rate communication.
One-stop toolkit, convenient and efficient
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.
Complete software and hardware
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.
A variety of interfaces
With HDMI, mSATA, USB3.0, USB2.0, RS485 and RS232, this computer can be directly applied to AI edge computing products
A wide range of applications
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
| Basic Specifications | |
| SOC |
SOPHON BM1684 |
| 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: 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: TensorFlow / Caffe / PyTorch / Paddle / ONNX / MXNet / Tengine / DarkNet |
| VPU |
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 |
| RAM |
6GB/12GB/16GB LPDDR4/LPDDR4X |
| Storage |
32GB/64GB/128GB eMMC, 128MB SPI Flash, 1*M.2 SATA3.0 (Inside the computer. Capable of 2242 SSD expansion), 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 |
| OS |
Linux |
| Size |
182.5mm * 150.0mm * 66.5mm |
| Weight |
≈ 1.8kg |
| Environment |
Operating Temperature: -20℃～60℃ Storage Temperature: -20℃～70℃ Operating Humidity: 10%～90% (non-condensing) |
