
EC-ThorT5000

CSR2-N72R3399

EC-ThorT5000

CT36L/CT36B
 
                                         
                                                            
                                                     
                                                            
                                                    
EC-ThorT5000
        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
        frequency of 
        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 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
        efficiency 
        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
        data 
        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.
      
 Computing server
          Computing server
         Edge calculation
          Edge calculation
         AI
          AI
         Traffic control
          Traffic control
         Self service market
          Self service market
         Security
          Security
        | 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.264 1080p@25fps video decoding 32-channel 1080P@25fps HD video processing (decoding + AI analysis) Support 12-channel H.264 1080p@25fps video encoding | 
| RAM | 16GB LPDDR4 | 
| Storage | 64GB eMMC | 
| Storage Expansion | 1 * M.2 SATA3.0 SSD(2242)、 1*TF card slot | 
| Hardware Specifications | |
| Ethernet | 1000Mbps Ethernet ×2 | 
| Wireless Network | 22.4GHz / 5GHz dual-band WiFi,802.11a/b/g/n/ac, Support Expansion 4G LTE(Mini PCIe)、5G(M.2) | 
| Display | 1 * HDMI(1080p@30fps) | 
| Audio | 1 * HDMI Output | 
| SATA | 1 * M.2 SATA3.0 (Expansion 2242 SATA SSD) | 
| USB | 2 * USB3.0(Max 1A)、 2 * USB2.0(Max 500mA) | 
| Power | DC12V (DC5.5*2.5mm) | 
| Interface | 1 * RS232、1 * RS485 | 
| OS/Software | |
| OS | Linux | 
| Other | |
| Size | 210 * 130 * 44.5mm | 
| Weight | ≈ 1.3kg | 
| Environment | Operating Temperature: -20 ℃~60 ℃ Storage Temperature: -20 ℃~70 ℃ Operating Humidity: 10%~90% RH (Non-condensation) |