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AIO-3576C Industrial Mainbroad

6 TOPS Computing Power

Private Deployment of Large Models

Supports Triple Independent Displays

Supports 4K Encoding and Decoding

Next-Generation AIoT Chip RK3576

Featuring the Rockchip RK3576, the chip adopts a big.LITTLE architecture (4×A72 + 4×A53) with advanced process technology, reaching a clock speed of up to 2.2GHz, providing robust support for high-performance computing and multitasking. Equipped with the Mali-G52 MC3 GPU, offering 145G FLOPS, it enables efficient heterogeneous computing, meeting the demands of graphics-intensive applications.

6 TOPS Computing Power, Supports YOLO Algorithm

6 TOPS NPU supports INT4 / INT8 / INT16 / FP16 / BF16 / TF32 operations, enabling dual-core collaboration or independent operation, and supports multitasking and multi-scenario parallelism. It also supports the YOLO (You Only Look Once) real-time object detection algorithm based on deep learning, which offers faster and more real-time performance compared to traditional algorithms, accurately identifying and locating multiple objects in images or videos, empowering AI applications.

Custom Private Deployment of AI Models

Supports private deployment of large-scale parameter models under the Transformer architecture, such as the Gemma series, ChatGLM series, Qwen series, and Phi series of large language models. It also supports traditional network architectures like CNN, RNN, and LSTM, as well as multiple deep learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, and Caffe.

4K Encoding and Decoding

Supports 4K@120fps decoding (H.265 / HEVC, VP9, AVS2, AV1) and 4K@60fps decoding (H.264 / AVC), 4K@60fps encoding (H.265 / HEVC, H.264 / AVC).

Triple Independent Displays

Supports multiple display interfaces such as HDMI, MIPI DSI, and LVDS, enabling triple independent displays with 4K@120Hz ultra-clear resolution, meeting diverse display needs across various scenarios.

Meets Industrial Application Requirements

Equipped with industrial-grade features such as real-time networking, Flexbus, hardware resource isolation, and DSMC, it meets diverse industrial application needs. With support for the RTLinux kernel, it delivers excellent real-time performance and is widely used in industrial application scenarios.

Easy and Convenient Development

SDK incorporates new features such as AMP, DPDK, RT-Thread, OTA, RT-Linux, and ROS, catering to a broader range of product requirements. It provides accompanying source code, tutorials, technical documentation, and development tools, making development simpler and more convenient.

丰富的拓展接口

Specifications

AIO-3576C
Basic Specifications
SOC

Rockchip RK3576

CPU

Octa-core 64-bit processor (4×A72 + 4×A53), up to 2.2GHz

GPU

G52 MC3 @ 1GHz, supports OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, embedded high-performance 2D acceleration hardware

NPU

6 TOPS computing power NPU, support INT4/INT8/INT16/FP16/BF16/TF32 operation, support dual-core collaborative or independent work, support multi-task, multi-scenario parallelism

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

Codecs

Decode: 8K@30fps/4K@120fps (H.265/HEVC, VP9, AVS2, AV1), 4K@60fps (H.264/AVC) Encode: 4K@60fps (H.265/HEVC, H.264/AVC)

RAM

LPDDR5 (4GB/8GB/16GB Optional)

Storage

eMMC (16GB/32GB/64GB/128GB/256GB Optional)

Storage Expansion

1 × M.2 M-KEY (Scalable SATA3.0/PCIe NVMe SSD, support 2242/2260/2280), 1 × TF Card

Power

DC 12V (5.5mm × 2.1mm, support 12V~24V wide voltage input), 1 × DC_IN (4Pin-2.54mm)

Power consumption

Max: 8.4W(12V/700mA), Normal: 1.2W(12V/100mA), Min: 0.24W(12V/20mA)

OS

It supports RTLinux kernel and has excellent real-time performance, which is widely used in industrial application scenarios. Support Android14, Linux OS, Buildroot, domestic operating system, provide a safe and stable system environment for product research and production. It has new industrial features such as real-time network, Flexbus, hardware resource isolation, and DSMC to meet the needs of different industrial applications.

AI performance

Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Gemma series, ChatGLM series, Qwen series, Phi series 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. It supports the real-time object detection algorithm YOLO (You Only Look Once), which is fast and real-time compared with traditional object detection methods, and can accurately identify and locate multiple target objects in images or videos, powering AI applications.

Size

126.0mm × 94.4mm × 14.2mm

Weight

≈91g

Environment

Operating Temperature: -20℃ ~ 60℃, Storage Temperature: -20℃ ~ 70℃, Storage Humidity: 10%~90%RH(non-condensing)

Interface Specifications
Internet

1 × Gigabit Ethernet (RJ45/1000Mbps), supports 2.4GHz/5GHz dual-band WiFi (802.11a/b/g/n/ac), Bluetooth 5.0, expandable 4G LTE (Mini PCIe)

Video Input

2 × MIPI-CSI DPHY (1×4Lanes or 2×2Lanes, 30Pin-0.5mm) 1 × MIPI-CSI D/CPHY (DPHY(1×4 Lanes/2×2 Lanes) or CPHY(3Lanes), 30Pin-0.5mm)

Video Output

1 × HDMI2.1 (4K@120fps, multiplexed with eDP), 1 × eDP (Not pasted by default, multiplexed with HDMI, can be pasted with 30P-0.5mm or 40P-0.5mm two specifications), 1 × MIPI-DSI (2560×1600@60Hz, 30Pin-0.5mm), 1 × LVDS (Dual-channel, double-row pin headers 2×15-30Pin-2mm)

Audio

1 × MIC (2Pin-2mm), 1 × SPK (4Pin-2mm, 2×10W/6Ω or 2×10W/8Ω), 1 × 3.5mm Audio jack (Support MIC recording, American Standard CTIA)

USB

1 × USB3.0 (HOST, max: 1.2A), 1 × USB2.0 (HOST, max: 0.5A), 1 × Type-C (OTG), 1 × USB_HOST (4Pin-2mm)

Button

1 × Reset、1 × Recovery、1 × BOOT

Other interfaces

1 × RS232 (3Pin-2mm), 1 × RS485 (3Pin-2mm), 1 × CAN (3Pin-2mm), 1 × I2C (4Pin-2mm), 4 × ADC (6Pin-2mm), 1 × Debug (3Pin-2mm), 1 × LCD_PWR (6Pin-2mm), 1 × TP_I2C (6Pin-2mm), 1 × FAN (4Pin-1.25mm) , 1 × Screen voltage jumper (Single-row pin headers, 6Pin-2mm)