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EC-A3576C Computer

6 TOPS Computing Power

· Equipped with Rockchip RK3576

· Private deployment of mainstream AI models

· 4K high-frame-rate video decoding

· High-bandwidth LPDDR5 memory

· Built-in 16-megapixel ISP

· Full aluminum alloy shell

· Compatible with multiple operating systems

· Provides development materials

Manual Wiki Download

Android

LinuxOS

Buildroot+QT

KylinOS

EC-A3576C
EC-A3576C Industrial Computer

Equipped with Rockchip octa-core AIoT processor RK3576, it integrates a 6 TOPS NPU for computing power, supports private deployment of modern mainstream large models. It delivers 4K high-frame-rate video decoding capabilities and features an industrial-grade full aluminum alloy shell with fanless efficient heat dissipation, ensuring stable 24/7 operation.

AI Processor RK3576

Features the octa-core 64-bit high-performance AIoT processor RK3576, utilizing a big.LITTLE architecture with a main frequency of up to 2.2GHz, it delivers robust support for high-performance computing and multitasking.Equipped with the Mali-G52 MC3 GPU, enables efficient heterogeneous computing, meeting the demands of graphics-intensive applications.

Private Deployment

Supports private deployment of ultra-large-scale parameter models based on the Transformer architecture, such as the Gemma series, ChatGLM series, Qwen series, Phi series, and other large language models.

4K Video Decoding

Supports 8K@30fps / 4K@120fps decoding (VP9, AVS2, AV1) and 4K@60fps decoding (H.264/AVC), as well as 4K@60fps encoding (H.264/AVC).

Image Processing

Equipped with a built-in 16-megapixel ISP, it supports low-light noise reduction, RGB-IR sensors, and up to 120dB HDR. AI-ISP further enhances image quality in low-noise environments.

LPDDR5 Memory

LPDDR5 offers larger memory capacity, higher bandwidth, faster data transfer rates, lower power consumption, and more advanced Error Correction Code (ECC) technology. Meets the memory space and response speed requirements for private deployment of large models.

Aluminum Alloy Shell

Featuring an industrial-grade full aluminum alloy shell, it enables efficient fanless heat dissipation and ensures stable 24/7 operation, meeting the demands of a wide range of industrial applications.

Multiple Operating Systems

Supports Android, Linux OS, and Buildroot, providing a secure and stable system environment for product development and production.

Development Materials

Includes complete source code, tutorials, technical documentation, and development tools, enabling users to efficiently perform secondary development and quickly create independently controllable products.
6 TOPS NPU Computing Power

Built-in powerful NPU with computing power of up to 6 TOPS, supporting INT4/INT8/INT16/FP16/BF16/TF32 mixed operations. Capable of intelligent data processing, voice recognition, and image analysis, meeting the edge computing AI application needs of most terminal devices.

Interfaces
Specifications

EC-A3576C

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, 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

Decoding/ Encoding

Decode: 8K@30fps/4K@120fps (VP9, AVS2, AV1), 4K@60fps (H.264/AVC) Encode: 4K@60fps (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, located at the bottom of the computer), 1 × TF Card

Power

DC 12V (5.5mm × 2.1mm, support 12V~24V wide voltage input)

Power consumption

Max: 8W(12V/667mA), Normal: 3W(12V/250mA), Min: 1.7W(12V/142mA)

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.

Software support

Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Deepseek-R1 series, Gemma series, Llama 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

188.00mm × 94.94mm × 50.65mm

Weight

≈760g

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 WiFi6 (802.11a/b/g/n/ac/ax), Bluetooth 5.4, and expandable 4G LTE (via internal Mini PCIe of the computer)

Video output

1 × HDMI2.1 (4K@120Hz), 1 × DP1.4 (Up to 4K@60Hz, output via Type-C)

Audio

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/DP1.4)

Others

1 × SIM Card, 1 × WiFi antenna, 1 × 4G antenna
Accessories

EC20 4G-LTE

$ 40.00

Kingston 512GB SSD

$ 692.00

MicroUSB Data Cable

$ 15.00

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