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AIBOX-3576 Overview Specifications Wiki Download
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AIBOX-3588 Overview Specifications Wiki Download
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AIBOX-3588S Overview Specifications Wiki Download
DataSheet
DataSheet

Low-Power Large Model AIBOX

Ultra-high energy efficiency ratio! Supports private deployment of mainstream large models.

AIBOX-3576
AIBOX-3588
AIBOX-3588S

AIBOX-3588S

Large-Model AI Box

Equipped with RK3588S Processor

32GB LPDDR5 High-Capacity Memory

Private Deployment of Large Models

8K Video Encoding & Decoding

Octa-core AIOT Processor RK3588S

RK3588S is Rockchip’s flagship AIoT chip, built on an advanced 8nm LP process. It features an octa-core 64-bit CPU with a clock speed of up to 2.4GHz, an integrated ARM Mali-G610 MP4 quad-core GPU, and a built-in AI accelerator NPU delivering 6 TOPS of computing power. RK3588S optimizes performance for diverse AI applications.

Private Deployment of Large AI Models

With 6 TOPS NPU computing power, the RK3588S supports private deployment of large-scale Transformer-based models, including the Gemma series, ChatGLM series, Qwen series, Phi series, and other large language models (LLMs). It also enables RKNN model import/export and supports multiple deep learning frameworks such as TensorFlow, TensorFlow Lite, PyTorch, and Caffe.

32GB LPDDR5 High-Capacity Memory

Compared to LPDDR4, LPDDR5 offers larger memory capacity, higher bandwidth, faster data transfer rates, lower power consumption, and advanced ECC (Error Correction Code) technology. This meets the demands of large model deployment for memory space and responsiveness, ensuring efficient hardware synergy to enhance model performance and energy efficiency.

8K Video Encoding & Decoding

Supports 8K@60fps H.265/VP9 decoding and 8K@30fps H.265/H.264 encoding, with simultaneous encode/decode capabilities. It can handle up to 32 channels of 1080P@30fps decoding and 16 channels of 1080P@30fps encoding. The high-resolution, multi-channel decoding accelerates video-based AI training and inference, improving visual analysis accuracy and optimizing algorithm training.

Full Metal Enclosure for Efficient Cooling

The industrial-grade all-metal aluminum alloy casing ensures superior heat dissipation. The top cover and side vents enhance airflow, maintaining stable performance and reliability even under high-temperature operation. Compact yet robust, it meets industrial-grade application requirements.

Comprehensive Development Resources

Supports Linux OS for a secure and stable development environment. Provides complete source code, tutorials, technical documentation, and tools to streamline the development process.

Wide Range of Applications

Ideal for smart surveillance, AI education, computing services, edge computing, private AI model deployment, data security, and privacy protection.

Smart surveillance
AI education
Computing services
Edge computing
Private AI model deployment
Data security

Specifications

AIBOX-3576 AIBOX-3588 AIBOX-3588S

Basic Specificat

SOC

Rockchip RK3576

Rockchip RK3588

Rockchip RK3588S

CPU

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

Octa-core 64-bit processor(4×Cortex-A76+4×Cortex-A55), main frequency up to 2.4 GHz

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

ARM Mali-G610 MP4 quad-core GPU, supports OpenGL ES3.2/ OpenCL 2.2/Vulkan1.1, 450 GFLOPS

NPU

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

6 TOPS NPU, supports INT4/INT8/INT16 mixed operations

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

Integrated 48MP ISP with HDR&3DNR

Encoding Decoding

Decoding: 8K@30fps/4K@120fps: H.265/HEVC, VP9, AVS2, AV1, 4K@60fps: H.264/AVC Encoding: 4K@60fps: H.265/HEVC、H.264/AVC

Decoding: 8K@60fps/4K@120fps H.265/VP9/AVS2, 8K@30fps H.264 AVC/MVC, 4K@60fps AV1, 1080P@60fps MPEG-2/-1/VC-1/VP8 Encoding: 8K@30fps H.265/H.264

Decode: 8K@60fps H.265/VP9/AVS2 8K@30fps H.264 AVC/MVC 4K@60fps AV1 1080P@60fps MPEG-2/-1/VC-1/VP8 Encode: 8K@30fps H.265/H.264

RAM

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

LPDDR4 (4GB/8GB/16GB/32GB optional)

LPDDR5 (4GB/8GB/16GB/32GB optional)

Storage

eMMC (16GB/32GB/64GB/128GB/256GB optional), UFS2.0 (Only AIBOX-3576 optional)

Storage Expansion

1 × M.2 (Expandable SATA 3.0/PCIe NVMe SSD, supports 2242/2260/2280; Inside the computer), 1 × TF Card

Power

DC 12V/2A（DC 5.5 × 2.1mm）

Power consumption

Normal: 1.2W(12V/100mA) Max: 7.2W(12V/600mA) Min: 0.72W (12V/6mA)

Normal: 2.64W(12V/220mA) Max: 14.4W(12V/1200mA) Min(Sleep): 0.18W(12V/15mA)

Normal: 1.26W(12V/105mA) Max: 13.2W(12V/1100mA) Min(Sleep): 0.18W(12V/15mA)

OS

Linux

Software support

·Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Gemma 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

Size

93.4mm × 93.4mm × 50mm

Weight

≈ 500g

Environment

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

Interface Specif

Ethernet

2 × Gigabit Ethernet (1000Mbps/RJ45)

1 × Gigabit Ethernet (1000Mbps/RJ45)

Video Output

1 × HDMI2.1（4K@120fps)

1 × HDMI2.1（8K@60fps)

USB

2 × USB3.0 (Max: 1A), 1 × Type-C (Firmware flashing)

2 × USB3.0 (Max: 1A), 1 × Type-C (Can be used as a firmware flashing port. Set to USB2.0 HOST after booting up)

Button

1 × Power, 1 × MaskRom

Other interfaces

1 × Console (Debug serial)