EC-A3576C RK3576 Fanless ARM Computer

EC-A3576C RK3576 Fanless ARM Computer

$299.00

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10 in stock

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.

Al Processor RK3576

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.

Application Scenarios

Widely applicable to edge computing, private deployment of large models, smart commercial display, cloud terminal products, industrial control host, automotive electronics and other industries.

Edge Computing

Private Deployment of Large Models

Smart Commercial Display

Cloud Terminal Products

Industrial Control Host

Automotive Electronics

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
	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
	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
	Decoding/ Encoding	Decode: 8K@30fps/4K@120fps (VP9, AVS2, AV1), 4K@60fps (H.264/AVC) Encode: 4K@60fps (H.264/AVC)
	Video decoding	8K@30fps/4K@120fps(H.265/HEVC/VP9/AVS2/AV1) 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
	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.
	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)
	Dimension	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)
	Audio output	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)
	Other interfaces	1 × SIM Card, 1 × WiFi antenna, 1 × 4G antenna