EC-R3576PC Overview Specifications Wiki Technical Case Download
DataSheet
DataSheet

EC-R3576PC

Low-power Large-model Computer

Powered by the Rockchip RK3576, an octa-core 64-bit AIOT processor,
supporting the private deployment of large-scale models under the
Transformer architecture.With an external watchdog, it provides
industrial-grade stability, making it an excellent choice for
AI applications requiring local deployment.

The private deployment of large models

The computer is equipped with a powerful NPU, delivering computing power of up to 6 TOPS. This enables advanced intelligent data
processing, speech recognition, and image analysis, effectively fulfilling the AI application demands for
edge computing on a wide range of terminal devices.

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 technical 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, and AV1),
4K@60fps decoding (H.264/AVC), as well as 4K@60fps encoding (H.265/HEVC and H.264/AVC).
It supports HDMI 2.1 (4K@120fps) , and DP 1.4 (4K@120fps).

Powerful network communication capability

1000Mbps Ethernet (1 channel), 100Mbps Ethernet (1 channel), 2.4GHz/5GHz dual-band WiFi, Bluetooth 5.0, and 4G LTE
are provided. This powerful network communication capability makes data transmission more stable and faster.

Supports NVMe SSD hard drives

The on-board M.2 interface can be connected with 2242 NVMe/SATA SSD mass storage devices,
which makes it a reality that the device can be easily expanded with TB storage capacity.

Rich extension interfaces

HDMI2.1, Gigabit Ethernet, USB3.0, USB2.0, Type-C（OTG / DP1.4）, RS232, RS485, CAN, Optocoupler Isolated Input,
realy and more interfaces are configured.

Support various operating systems

Support Android 14, Linux OS, and Buildroot+QT. 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.

Cloud terminal
products
Industrial PCs
Automotive
electronics
Edge computing
Local deployment
of large models
Digital signage

Specifications

Specifications
Basic Specifications SOC

Rockchip RK3576
CPU

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

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

6 TOPS NPU, support mixed operations of INT4/8/16/FP16/BF16/TF32
Decode/ Encode

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

LPDDR4/LPDDR4x (4GB/8GB/16GB optional)
Storage

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

1 × M.2 (Scalable 2242 PCIe NVMe/SATA SSD) (Inside the Computer), 1 × TF Card
Power

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

Min: 0.024W(12V/2mA), Normal: 4.8W(12V/400mA), Max: 10.8W(12V/900mA)
OS

Android14, Linux OS, Buildroot+QT
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
Size

96.6mm × 93.0mm × 64.0mm
Weight

≈ 0.45kg
Environment

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

1 × Gigabit Ethernet (RJ45), 1 × 100Mbps Ethernet(RJ45), support 2.4GHz/5GHz dual-band WiFi (802.11a/b/g/n/ac), Bluetooth 5.0, expandable 4G LTE
Video Output

1 × HDMI2.1 (4K@120fps), 1 × DP1.4 (4K@120fps), support dual-screen display
Watchdogs

External watchdogs
USB

1 × USB3.0 (Max:1A), 1 × USB2.0 (Max: 500mA), 1 × Type-C (OTG/DP1.4, Max: 2A)
Expansion interface

3 × RS232, 2 × RS485, 1 x CAN, 1 x RELAY, 1 x INPUT, 1 × 3.5mm Audio jack (Support MIC recording, American Standard CTIA) , 1 × Recovery, 1 × SIM Card