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Frequently asked questions
What is AIO-3588JD4 AI Motherboard RK3588 used for?
AIO-3588JD4 AI Motherboard RK3588 is a Motherboard / SBC from Firefly. It is typically used in embedded computing, edge AI inference, industrial control and rapid prototyping, and can be integrated into custom carrier boards or finished devices.
Does AIO-3588JD4 AI Motherboard RK3588 include technical support, datasheets or pre-flashed images?
Yes. Ai-Paipai supplies this item as an authorized distributor and provides local engineering support, datasheets, SDKs and pre-flashed system images where applicable, plus OEM / ODM customization for volume projects.
Can I order AIO-3588JD4 AI Motherboard RK3588 with OEM / ODM options or CE / FCC / RoHS certification?
OEM / ODM customization (specs, enclosure, BSP) is available, and CE / FCC / RoHS certified options can be provided on request for EU and US imports. Contact us for a quote.
How is AIO-3588JD4 AI Motherboard RK3588 shipped, and what is the lead time?
Orders ship worldwide from Shenzhen. Stock items typically dispatch within a few business days; configurable or made-to-order variants take longer. Exact lead time is shown at checkout or on request.
Specifications
| Product Datasheet | Click Here |
| Octa-core AI Processor RK3588 | The AIO-3588JD4 is equipped with Rockchip's flagship processor, the RK3588, an octa-core 64-bit CPU that delivers 6 TOPS of computing power, enhancing performance for AI application scenarios. |
| Custom Private Deployment of AI Models | Supports private deployment of rich parameter models based on the Transformer framework, including Gemma-2B, ChatGLM3-6B, Qwen1.5-1.8B, Phi-3-3.8B and other rich language models. |
| Decoding of 8K Ultra-High Definition Video | It supports 8K HD video decoding, presenting clearer images and richer details, and adopts a 2D hardware engine to significantly improve display performance. |
| Industrial-Grade Stability | Supports external watchdog timer and industrial-grade stability. Compatible with multiple operating systems, it is suitable for ARM PCs, edge computing, cloud servers, smart NVRs, and other fields. |

