AIBOX-3576 Overview Specifications Wiki Technical Case Download
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Putting Large Models
into a Small Box

—— Low-Power Large-Model Box
AIBOX-3576

Superior energy efficiency! Support the private deployment of
mainstream large models. Bring private AI capability to meet
individual AI deployment needs.

The private deployment of large models

The box is equipped with an ARM Mali G52 MC3 GPU, delivering up to 6 TOPS of computing power. 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 powerful support for high-performance computing and multitasking.
The Mali-G52 MC3 GPU, delivering 145G FLOPS, 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), and 4K@60fps encoding (H.265 / HEVC, H.264 / AVC).

Strong network communication capability

With dual 1000Mbps Ethernet, the AI box ensures high-speed and stable network communication,
meeting the needs of various application scenarios.

All-aluminum alloy enclosure for heat dissipation

The AI box features an industrial-grade all-metal enclosure with an aluminum alloy structure for thermal conduction. The side of the
top cover features a grille design for external airflow and efficient heat dissipation, ensuring computing performance
and stability even under high-temperature operating conditions.

Its top cover is a porous hexagonal design, combining elegance with high efficiency. The compact, exquisite device operates stably
and meets the needs of various industrial-grade applications.

Abundant resources

Support Linux OS. This provides a safe and stable system environment for product research and production. We offer SDKs, tutorials, technical
documentation, and development tools to streamline and improve the development process.

A wide range of applications

AIBOX-3576 is widely used in intelligent surveillance, AI education, services based on computing power, edge computing, private
n deployment of large models, data security, and privacy protection.

Intelligent
surveillance
AI education
Computing
services
Edge computing
Large models
Data security

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 (4GB/8GB optional)
Storage

eMMC (16GB/32GB/64GB/128GB/256GB optional), UFS 2.0 (optional)
Storage
Expansion

1 * M.2 (optional with USB 3.0 lower layer interface, default USB 3.0 function) (internal to the host), 1 * TF Card
Power

DC 12V/3A（DC 5.5 * 2.1mm）
Consumption

Standard power consumption：1.2W(12V/100mA)

Maximum power consumption：7.2W(12V/600mA)

Sleep power consumption：0.072W (12V/6mA)
OS

Linux OS（Ubuntu）
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

93.4mm * 93.4mm * 50mm
Weight

≈ 500g
Environment

Operating temperature: -20℃～60℃

Storage temperature: -20℃～70℃

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

2 * 1000Mbps（RJ45）
Video output

1 * HDMI2.1（4K@120fps)
USB

2 * USB3.0（Limit 1A current）
Other
interfaces

1 * Type-C (AIBOX-3576: Burning)、1 * Console (Debug)、 1 * Power button、1 * MaskRom