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Embedded Computers

ITX-3588J mini-ITX: Deep Learning & AI Embedded Hardware

By AndroidpimpJuly 10, 2022Updated:July 13, 2022No Comments4 Mins Read
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Itx 3588j rk3588 motherboard
Table of Contents
  1. ITX-3588J mini-ITX IoT Embedded Hardware Platform
  2. Product Introduction
  3. Modular design & Upgrdabale
  4. Motherboard Layout
  5. TX-3588J mini-ITX specifications
  6. Software Support
    1. Designed for Deep Learning / AI
  7. Practical Implementation
  8. 8K video codec for clearer images 
  9. Multi-channel input and output, multi-screen display 
  10. Price & Availability

Maybe you missed it? Banana Pi R2 Router Board Review


ITX-3588J mini-ITX IoT Embedded Hardware Platform

The ITX-3588J Mini-ITX Mainboard is part of a hardware platform based on the RockChip RK3588 solution designed for industrial and various usages such as multimedia, deep learning, and AI applications. The product includes the main motherboard or mainboard with the Core board module. It’s available in the official Firefly store for $459. The price applies for the 4 GB RAM and 32 GB eMMC storage version.

Equipped with a powerful Rockchip RK3588 chipset, which has an 8-core 64-bit CPU with 4 x ARM Cortex-A76 CPU cores running at up to 2.6 GHz and 4 x ARM Cortex-A55 CPU cores running at up to 1.8 GHz, it powers the ITX-3588J mini-ITX mainboard (170 x 170mm) dimensions. The chipset’s frequency can reach respectful clock speeds up to 2.4GHz.

ITX-3588J mini-ITX mainboard

Itx 3588j rk3588

Product Introduction


Modular design & Upgrdabale

The smaller Firefly Core-3588J board is the central brain that hosts the hardware, which contains the processor, memory, and storage. Depending on the configuration type, it may be purchased separately starting at $209 and higher.

The CPU module can be changed or upgraded according to specific industry requirements. A module with the fastest processor combined with 16GB of RAM and 128GB of storage will cost you $399.

Firefly core 3588 configurations
ITX-3588J mini-ITX: Deep Learning & AI Embedded Hardware 1

Firefly Core-3588J board Configurations

Bundle TypesConfiguration
Bundle 14GB LPDDR4+32GB eMMC
Bundle 28GB LPDDR4+64GB eMMC
Bundle 316GB LPDDR4+128GB eMMC
Bundle 4With 32GB RAM (Optional)

From a user standpoint, the hardware is very easy to upgrade, so at some point in the near future, you will not need to invest extra money in acquiring additional hardware.

Core 3588j board

Motherboard Layout

In addition, this motherboard supports 8GB of memory, the interface includes two Gigabit Ethernet ports, supports 60W PoE, as well as four USB 3.0, one USB 2.0, HDMI 2.0, VGA, RS232, RS485, I2C, UART, ADC, etc. In terms of expandability, this motherboard is equipped with SATA 3, SATA 3 M.2, and PCIe 3.0 slots.

Itx 3588j mini itx layout
ITX-3588J mini-ITX: Deep Learning & AI Embedded Hardware 2
Itx 3588j mini itx layout 3
Itx 3588j mini itx layout 2 1

TX-3588J mini-ITX specifications

FireFly ITX-3588J-RK3588 Motherboard

(Product specification)

Brand

FireFly

Model

ITX-3588J

SoC

RockChip RK3588

CPU

8-core 64-bit (4×Cortex-A76+4×Cortex-A55) , 8nm lithography process, frequency up to 2.4GHz

GPU

ARM Mali-G610 MP4 quad-core GPU

Supports OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1, 450 GFLOPS

NPU

NPU computing power is up to 6 TOPS, Supports INT4/INT8/INT16 mixed operation,

Supports framework switching of TensorFlow / MXNet / PyTorch / Caffe / etc.

VPU

Video decoding:

8K@60fps H.265/VP9/AVS2

8K@30fps H.264 AVC/MVC

4K@60fps AV1

1080P@60fps MPEG-2/-1/VC-1/VP8

Video encoding:

8K@30fps encoding, Supports H.265 / H.264

* Achieves up to 32-channel 1080P@30fps decoding and 16-channel 1080P@30fps encoding

RAM

4GB/8GB/16GB 64bit LPDDR4/LPDDR4x/LPDDR5 (Up to 32GB optional)

Storage

16GB/32GB/64GB/128GB eMMC

Storage
Expansion

1 × M.2 SATA3.0, can expand with 2242 SATA3.0 SSD,

4 × SATA3.0, can expand with 4 pcs of SATA3.0 SSD/HDD

Display

 Output:
1 × HDMI2.1 (8K@60fps or 4K@120fps)

1 × HDMI2.0 (4K@60fps)

2 × MIPI-DSI (4K@60fps)

1 × DP1.4 (8K@30fps, multiplexed with USB3.0)

1 × VGA display output 


Input:

1 × HDMI-IN (4K@60fps), Supports HDCP 2.3

2 × 2 lane MIPI-CSI input or 1 × 4 lane MIPI-CSI input

* Supports multi-channel 8K video output and 4K video input, up to four-screen output

with different displays

Audio

Output:

1 × Speaker output (10W-8Ω D class)

1 × Phone output

2 × HDMI audio output

1 × DP audio output


Input:

1 × Line-In input

1 × MIC input

1 × HDMI audio input

Display Input

1 × HDMI-IN (4K@60fps) , Supports HDCP 2.3

2 × 2 lane MIPI-CSI input or 1 × 4 lane MIPI-CSI input

* Supports multi-channel 8K video output and 4K video input, up to four-screen output

with different displays

USB

4 × USB3.0 (Limit 1A)

1 × USB-C (USB3.0 / DP1.4) (Limit 2A)

4 × USB2.0 (3 of them are pins) (Limit 500mA)

PCIE

2 x Gigabit Ethernet (one with POE)

Connectivity

Wireless

2.4GHz/5GHz dual-band WiFi6, Bluetooth 5.0, supports 5G/4G LTE expansion 

On-Board Antenna socket

Ethernet

2 × GbE (RJ45) , one supports POE power supply, max output 60w

Software

OS

Android: Android 12.0

Linux: Ubuntu Desktop, Ubuntu Server, Debian11, Buildroot, RTLinux, Kylin Linux, UOS

* Supports UEFI Boot

Other Interfaces

RS232

x1

GPIO

x8

I2C

x4

SPI

x1

ADC

x3

Debug

x1

UART

x2

12V/3P-1.25m fan

x1

General

Heat Dissipation

Heat sink installation hole pitch: 45mm

Power Consumption

Idle: ≈1.35W (12V/110mA)

Typical: ≈4.8W (12V/400mA)

Max: ≈20W (12V/1700mA)

Dimensions

17cm×17cm (Mini-ITX)

(Suitable for general ITX computer cases)


Software Support

Designed for Deep Learning / AI

This motherboard supports Android, Ubuntu, or RTLinux, and is suitable for NAS and edge computing applications.

The board comes with an Integrated ARM Mali-G610 MP4 quad-core GPU, supporting OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1, 450 GFLOPS. Built-in AI accelerator NPU with up to 6TOPS computing power supports INT4/INT8/INT16 hybrid operations and can realize TensorFlow/ Easily convert network models of a series of frameworks such as MXNet/PyTorch/Caffe.

Itx 3588j mini itx software
ITX-3588J mini-ITX: Deep Learning & AI Embedded Hardware 3

Practical Implementation

ITX-3588J adopts Rockchip RK3588’s new-generation flagship Octa-core 64-bit processor with a maximum memory of 32GB. It supports an 8K video codec and has rich interfaces, multi-hard disk, Gigabit network, WiFi6, 5G/4G expansion, and various video inputs and outputs.

It provides a variety of power supply methods, supports various operating systems, and can be applied to ARM PC, edge computing, cloud servers, intelligent NVR, and other fields.


8K video codec for clearer images 

Supporting 8K@60fps H.265/VP9 video decoding and 8K@30fps H.265/H.264 video encoding, keeping the same encoding and decoding, can achieve up to 32 channels of 1080P@30fps decoding and 16 channels of 1080P@30fps encoding. This robust video encoding and decoding capabilities allow the picture to be presented in 8K high-definition, making the picture quality more delicate.

Itx 3588j 8k support
ITX-3588J mini-ITX: Deep Learning & AI Embedded Hardware 4

Multi-channel input and output, multi-screen display 

Supporting HDMI 2.1/MIPI-DSI/DP1.4/VGA multi-channel video output and HDMI RX2.0/MIPI-CSI video input interface supports multi-channel 8K video output and 4K video input and can achieve up to four-screen display; integrated 48MP ISP with HDR&3DNR, support dual MIPI-CSI camera input

Itx 3588j multi screen display
ITX-3588J mini-ITX: Deep Learning & AI Embedded Hardware 5

Price & Availability

The FireFly company team was established by T-Chip Intelligent Technology Co., Ltd. In 2014. Committed to the research and development of artificial intelligence, and open-source products. Their main focus is on embedded development, application, and hardware products which include core boards, Mainboards, embedded computers, cluster servers, development kits, Workstations, etc.

FireFly on Alibaba.com
ITX-3588J Packages (B2B customer inquiries).
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