Edge AI inference platform
EC-A3588L
Rockchip RK3588 Embedded PC
- Rockchip RK3588
- LPDDR4/LPDDR4 tối đa 32GB
- eMMC tối đa 256GB
- 2 USB 3.0, 1 Type-C, 1 khe cắm SIM
- Nguồn điện: DC 12V
Contact for consultation Category Industrial AI Devices
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Product description
- The EC-A3588L is a high-end AI embedded computer developed by Firefly, integrating the Rockchip RK3588 processor — a next-generation AIoT SoC built on an advanced 8nm process.
It delivers powerful AI computing, supports 8K video encoding/decoding, offers versatile connectivity and flexible expansion, making it ideal for applications such as edge computing, industrial control, ARM computers, cloud servers, and smart display devices.
Specifications
| Processor (SoC) | Rockchip RK3588 | Connectivity | 2 × USB 3.0, 1 × Type-C, 1 × SIM slot |
| System Memory | LPDDR4/LPDDR4x up to 32GB | Power Supply | DC 12V |
| Storage | eMMC up to 256GB Expansion: M.2 SATA 3.0 / PCIe 2.0 SSD, TF card slot |
Dimensions | 188.0mm × 88.44mm × 50.65mm |
| Video | Supports 8K@60fps decoding/encoding, 8K@30fps encoding, HDMI 2.1/2.0 output, DP1.4 output, HDMI-IN 4K@60fps | Operating Temperature | -20°C to 60°C |
| Audio | 3.5mm Jack | Supported OS | Android, Linux |
| Network | Integrated Gigabit LAN; supports WiFi 6, Bluetooth 5.2, 4G LTE and 5G expansion |
Features
- High-performance multi-core AI processing: Integrates the Rockchip RK3588 SoC with an 8-core CPU, Mali-G610 GPU, and a 6-TOPS NPU—optimized for AI tasks and high-resolution image processing.
- Multi-port, multi-resolution display output: Easily integrates with kiosks, POS systems, and digital signage controllers.
- Flexible wireless expansion: Supports WiFi 6 and Bluetooth 5.2 via M.2 E-Key; supports 4G LTE via Mini PCIe and 5G via USB 3.0.
- Compact design – ideal for smart devices: Perfect for deployment in kiosks, smart displays, vending machines, smart-home devices, and interactive user systems.
- Rich software support: Provides SDKs, documentation, development tools, and compatibility with popular AI frameworks.
Application
- Edge computing: Processes data locally, reducing latency and saving bandwidth.
- Industrial control: Monitors and controls equipment across production lines.
- ARM computing: Used in embedded systems and endpoint devices.
- Cloud microservers: Handles processing and storage in compact data center setups.
- Smart display devices: Digital signage, information kiosks, and interactive control panels.
