
EC-ThorT5000

CSR2-N72R3399

EC-ThorT5000

CT36L/CT36B
 
                                         
                                                            
                                                     
                                                            
                                                    
EC-ThorT5000
            Powered by the Rockchip RK3576, an octa-core 64-bit AIOT processor, Core-3576JD4 features an advanced
            lithography process to deliver high 
            performance while maintaining low power consumption. It is equipped with an ARM Mali G52 MC3 GPU and a 6 TOPS
            NPU. This core board 
            supports the private deployment of ultra-large-scale parameter models under the Transformer architecture,
            custom operator development, and 
            Docker container management technology. With support for 4K@120fps decoding/4K@60fps encoding, it boasts a
            display capability with 4Kresolution at a high frame rate of 120 fps. With an external watchdog, it provides
            industrial-grade stability. 
            The backplane reference design is available for deep customization.
        
            RK3576, the new octa-core 64-bit high-performance AIOT processor, features a big.LITTLE architecture (4×A72
            +4×A53), an advanced
            lithography process, and a frequency of up to 2.2 GHz. It ensures strong support for high-performance computing
            and multitasking. With a
            Mali-G52 MC3 GPU delivering 145G FLOPS, this GPU is capable of supporting efficient heterogeneous computing to
            meet the demands of
            graphics-intensive applications.
        
            It supports 8K@30fps/4K@120fps decoding (VP9, AVS2, and AV1), 4K@60fps decoding (H.264/AVC), and
            4K@60fps encoding
            (H.264/AVC).It provides HDMI 2.1 (4K@120fps)/eDP1.3 (4K@60fps) and DP1.4 (4K@120fps).
        
            EBC output interface: E-ink EPD (Electronic Paper Display) with a resolution of up to 1920 x 2560, suitable for
            EINK e-readers. This core board
            features RK PQ algorithms to enhance image quality, including contrast adjustment, dithering, color enhancement,
            brightness enhancement, and
            grayscale filtering. It offers multiple refresh modes, such as global, partial, fast, ultra-fast, and
            continuous. With the self-developed refresh
            algorithms, this device ensures swift and fluid handwriting with a minimal latency of 20ms, and supports color
            handwriting, delivering a better
            reading experience to users.
        
            The integrated 16-megapixel ISP supports low-light noise reduction, an RGB-IR sensor, and up to 120dB of HDR.
            The AI-ISP enhances image quality
            with reduced noise. Multi-channel MIPI-CSI input: dual MIPI CSI D-PHY (1 * 4 lanes and 2 * 2 lanes), and one
            MIPI CSI C/D-PHY (1 * 4 lanes).
        
            With support for UFS 2.0 / HS-G3 (12Gbps), this device ensures efficient data storage and access. With the PCIe
            NVMe / SATA SSD expansion,
            it delivers rapid data read and write speeds, enabling the device to be easily expanded to TB storage capacity.
        
            This core board features a compact design with a standard 260-pin SODIMM interface. It provides a rich array of
            expansion interfaces such
            as PCIe 2.1, SATA 3.1, SAI, I2C, I3C, CAN, UART, SPDIF, SDIO 3.0, MIPI-CSI, USB 3.0, USB 2.0, SPI, and
            GPIO to meet peripheral
            expansion needs for various applications.
        
We offer SDKs, tutorials, technical documentation, and development tools to streamline and improve the development process.
            It is widely used in edge computing, local deployment of large models, intelligent digital signage, cloud
            terminal products, 
            industrial PCs, automotive electronics, and more.
        
 Local deployment
                Local deployment Edge computing
                Edge computing
             Digital signage
                Digital signage
             Industrial PCs
                Industrial PCs
             Cloud terminal
                Cloud terminal Automotive
                Automotive| Specifications | ||
| Basic Specifications | SOC | Rockchip RK3576 | 
| CPU | Octa-core 64-bit processor (4×A72 + 4×A53) with a maximum frequency of 2.2GHz | |
| GPU | G52 MC3@1GHz, support OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, embedded with high-performance 2D acceleration hardware | |
| NPU | 6 TOPS NPU, support mixed operations of INT4/8/16/FP16/BF16/TF32 | |
| ISP | Built-in 16 million pixel ISP, support low-light noise reduction, support RGB-IR sensor, support up to 120dB HDR, AI-ISP to improve low-noise image effect. | |
| Decoding/ Encoding | Decoding: 8K@30fps/4K@120fps ( VP9, AVS2, AV1), 4K@60fps (H.264/AVC) Encoding: 4K@60fps ( H.264/AVC) | |
| RAM | LPDDR4/LPDDR4x/LPDDR5 (4GB/8GB/16GB optional) | |
| Storage | eMMC (16GB/32GB/64GB/128GB/256GB optional), UFS2.0 (Optional) | |
| Power | 5.0V (voltage tolerance ± 5%) | |
| OS | Android14, Linux OS, Buildroot | |
| Power consumption | Max: 7.0W(5V/1400mA), Normal: 1.1W(5V/220mA), Min: 0.025W(5V/5mA) | |
| Software Support | ・ Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Gemma-2B, ChatGLM3-6B, Qwen-1.8B, Phi-3-3.8B and other large language models ・ It supports traditional network architectures such as CNN, RNN, and LSTM, and supports the import and export of RKNN models; Support a variety of deep learning frameworks, including TensorFlow, TensorFlow Lite, PyTorch, Caffe, ONNX and Darknet. It also supports the development of custom operators ・ Support Docker container management technology | |
| Interface | Golden finger (260 PIN, SODIMM, 0.5mm pitch) | |
| Size | 69.6mm × 45mm × 4.15mm | |
| Weight | ≈16g | |
| Environment | Operating Temperature: -20℃ ~ 60℃, Storage Temperature: -20℃ ~ 70℃, Storage Humidity: 10%~90%RH (non-condensing) | |
| Interface Specifications | Internet | 2 × Gigabit Ethernet (MDI interface is provided, and the core board has an onboard Ethernet PHY chip) Expandable WiFi6/Bluetooth 5.2 via SDIO3.0/PCIe3.0 Expandable 5G/4G LTE via USB3.2 Gen1/USB2.0 | 
| Video input | 2 × MIPI CSI DPHY (1×4 Lanes or 2×2 Lanes) 1 × MIPI D/CPHY (MIPI DPHY (1×4 Lanes or 2×2 Lanes) or MIPI CPHY (3 Lanes)) 1 × DVP (8/10/12/16-bit, BT.601/BT.656 and BT.1120) | |
| Video output | 1 × HDMI2.1(4K@120fps)/eDP1.3(4K@60fps) 1 × DP1.4 (4K@120fps) 1 × EBC Output interface (Support E-ink EPD (Electronic Paper Display), 2560 ×1920) | |
| Audio | 2 × SAI (4T/4R), 3 × SAI (1T/1R), supports I2S/TDM/PCM mode and supports sampling rates up to 192KHz 2 × SPDIF TX & RX (8ch) 2 × PDM (Up to 8 channels, audio resolution 16~24 bits, sample rate up to 192KHz, support PDM master receive mode) | |
| PCIe/SATA | 1 × PCIe 2.1/SATA 3.1/USB 3.2 Gen1 Combo interface 1 × PCIe 2.1/SATA 3.1 Combo interface | |
| USB | 1 × USB3.2 Gen1 OTG0 (multiplexed with DP1.4) 1 × USB3.2 Gen1 OTG1 (multiplexed with PCIe 2.1/SATA 3.1) | |
| SDIO | 1 × SDIO3.0 | |
| PWM | 16 × PWM | |
| SPI | 5 × SPI (Supports serial master and serial slave modes, software configurable) | |
| I2C | 10 × I2C (Supports 7-bit and 10-bit address modes, data rates up to 100kbps in standard mode and up to 400kbps in fast mode) | |
| I3C | 2 × I3C (I2C compliant, SDR mode supported, up to 10 devices supported) | |
| UART | 12 × UART (Support automatic flow control mode, support RS485 function) | |
| CAN | 2 × CAN FD (Supports 8192 bit receive FIFO) | |
| Watchdog | Support External watchdog (On-board watchdog IC) | |
| SARADC | 7 × SARADC + 1 × SARADC (boot only), supports 12-bit resolution, up to 1MS/s sampling rate | |