EC-A3576JD4 Overview Specifications Wiki Technical Case Download
DataSheet
DataSheet
EC-A3576JD4
Low-Power Large-Model Computer

EC-A3576JD4 is powered by the Rockchip RK3576, an octa-core 64-bit AIOT processor. With an advanced lithography process, it is equipped with an ARM Mali G52 MC3 GPU and a 6 TOPS NPU, supporting the private deployment of large-scale models under the Transformer

architecture. With support for 4K@120fps decoding/4K@60fps encoding, the computer boasts a powerful display capability with

4K resolution at a high frame rate of 120 fps. With an external watchdog, it provides industrial-grade stability,

making it an excellent choice for AI applications requiring local deployment.

Octa-core 64-bit AIOT processor RK3576

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 powerful 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.

4K@120 fps high frame rate video decoding

This device supports 8K@30fps / 4K@120fps decoding (H.265 / HEVC, VP9, AVS2, AV1), 4K@60fps decoding (H.264 / AVC),
and 4K@60fps encoding (H.265 / HEVC, H.264 / AVC). It also supports HDMI 2.1 (4K@120fps) and eDP 1.3 (4K@60fps).

Powerful image processing capabilities

The integrated 16-megapixel ISP supports low-light noise reduction, an RGB-IR sensor, and up to 120dB of HDR. The AI-ISP technology
enhances image quality with reduced noise. This computer offers support for multi-channel MIPI-CSI input.

Abundant interface options

A wide range of interface options include dual Gigabit Ethernet (RJ45), HDMI 2.0, USB 3.0, USB 2.0, Type-C (OTG/flash), Phoenix connector
(RS485, RS232, and CAN), M.2 (5G expansion), Mini PCIe (4G expansion), M.2 (WiFi6/BT5.0 expansion), and M.2 (SATA/PCIe NVMe SSD
expansion). These interfaces facilitate the connection of various peripherals, supporting product applications across various fields.

Support various operating systems

Support Android 14, Linux OS, and Buildroot. These provide a safe and stable system environment for product research and production.

Abundant resources

We offer SDKs, tutorials, technical documentation, and development tools to streamline and improve the development process.

A wide range of applications

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
of large models
Edge computing
Intelligent
digital signage
Industrial PCs
Cloud terminal
products
Automotive
electronics

Specifications

Specifications
Basic
Specifications		 SOC

Rockchip RK3576

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

G52 MC3 @ 1GHz, supporting OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1

Built-in high-performance 2D acceleration hardware
NPU

6 TOPS NPU, supporting INT4/8/16/FP16/BF16/TF32 mixed operations
ISP

The integrated 16-megapixel ISP supports low-light noise reduction, an RGB-IR sensor, and up to 120dB of HDR.

The AI-ISP technology enhances image quality with reduced noise.
VPU

Decoding: 4K@120fps: H.265/HEVC, VP9, AVS2, AV1, 4K@60fps: H.264/AVC

Encoding: 4K@60fps: H.265/HEVC, H.264/AVC
RAM

LPDDR4/LPDDR4x (4GB/8GB optional)
Storage

eMMC (16GB/32GB/64GB/128GB/256GB optional), UFS2.0 (optional)
Storage
Expansion

1 * M.2 (SATA3.0/PCIe NVMe SSD expansion, supporting 2242/2260/2280) (internal device)
Power

DC 12V (5.5mm * 2.1mm, 12V~24V wide input voltage)
OS

Android14, Linux OS, and Buildroot
Software
Support

・ The private deployment of ultra-large-scale parameter models under the Transformer architecture,

such as Gemma-2B, LlaMa2-7B, ChatGLM3-6B, Qwen1.5-1.8B.

・ Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks

including TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX and Darknet; custom operator development

・ Docker container management technology
Size

188mm * 88.44mm * 50.65mm
Environment

Operating temperature: -20℃～60℃

Storage temperature: -20℃～70℃

Storage humidity: 10%～90%RH (non-condensing)
Interfaces Network

Ethernet: 2 * RJ45 (1000Mbps)

WiFi: WiFi/BT module expansion available via M.2 E-KEY (2230) interface,

supporting 2.4GHz/5GHz dual-band WiFi 6 (802.11a/b/g/n/ac/ax), BT5.2

4G: 4G LTE expansion available via Mini PCIe (shared with 5G module)

5G: 5G expansion available via M.2 (shared with 4G module)
Video Output

1 * HDMI2.1（4K@60fps)
Audio Output

1 * 3.5mm audio jack, supporting MIC recording, CTIA standard
Watchdog

External watchdog
USB

2 * USB3.0（Max: 1A）
Other
Interface

1 * Type-C (OTG/flash), 1 * SIM card, 1 * Phoenix connector (2*4PIN, 3.5mm pitch): 1 * RS485, 1 * RS232, 1 * CAN 2.0