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AIO-8550JD4 QCS8550 AI Motherboard

AIO-8550JD4 QCS8550 AI Motherboard

Regular price $809.00 USD
Regular price Sale price $809.00 USD
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AIO-8550JD4 QCS8550 AI Motherboard is a Firefly product sold by Ai-Paipai. Key specifications — Soc: Qualcomm QCS8550 · Npu: Dual eNPU V3: Equipped with 4 HVX (Hexagon Vector… · Ram: 16GB LPDDR5x · Storage: 256GB UFS4.0 · Network: Ethernet: 2 × RJ45(1000Mbps) WiFi: Extend WiFi/Bluetooth…. Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK / OS images, OEM / ODM customization, and worldwide shipping.

✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)

This product is supplied by an authorized distributor of the original brand. We provide local technical support, pre-installed SDK / mirror images, and OEM / ODM customization, plus fast global shipping.

The AIO-8550JD4 is powered by a Qualcomm QCS8550 octa-core AI processor with a 48-tops NPU, supporting mainstream AI models and frameworks. It also features an Adreno 740 GPU for ray tracing and 8K video processing; three cognitive ISPs supporting cameras up to 100MP; and various expansion ports. AI optimization tools and reference designs are also included to facilitate efficient development.

Feature

  • AI Processor QCS8550: The QCS8550 uses an octa-core Kryo CPU based on the ARM architecture with a clock speed of up to 3.36 GHz.
  • Deployment of Large AI Models: Supports large-scale private deployment of Transformer models.
  • Multiple Deep Learning Frameworks: Supports the QNN AI inference framework, as well as various deep learning frameworks, including TensorFlow, TensorFlow Lite, PyTorch, and ONNX.
  • Supports Ray Tracing Technology: It integrates an Adreno 740 GPU, supports ray tracing technology, and is compatible with full profiles for OpenGL ES 3.2, Vulkan 1.2, and OpenCL 3.0. Combined with Hexagon direct neural acceleration technology, it delivers enhanced graphics processing and AI computing performance.
  • Qualcomm Cognitive ISP with 36MP Triple Camera: Features the Qualcomm Spectra Cognitive ISP with triple 18-bit ISPs, supporting camera configurations up to a triple 36MP, dual 64MP+36MP, or a single 108MP setup.

Product Overview


Shipping list

  • Main unit × 1
  • Power adapter / cable (region plug on request) × 1
  • Accessories vary by configuration — contact us for the exact included list.
Soc
Qualcomm QCS8550
Cpu
Qualcomm Kryo® CPU: Octa-core 64-bit (1×GoldPlus@3.2GHz + (2+2)Gold@2.8GHz + 3×Silver@2.0GHz), 4nm advanced process, maximum frequency up to 3.36GHz
Gpu
Adreno 740 GPU: Supports ray tracing technology, OpenGL ES 3.2, Vulkan 1.2, full-profile OpenCL 3.0, and Adreno NN Direct
Npu
Dual eNPU V3: Equipped with 4 HVX (Hexagon Vector Extensions), 1 HMX (Hexagon Matrix Extension); Computing power up to 48 TOPS (INT8), 12 TOPS (FP16)
Ram
16GB LPDDR5x
Storage
256GB UFS4.0
Storage expansion
1 × M.2 M-KEY (supports expansion of SATA 3.0/PCIe NVMe SSD, compatible with 2242/2260/2280 form factors), 1 × TF Card
Codecs
Video decoding: 8K@60fps/4K@240fps H.264/VP9/AV1 Video encoding: 8K@30fps/4K@120fps H.264 Supports concurrent 4K@60fps decoding and 4K@60fps encoding for wireless display scenarios
Power
DC 12V (5.5mm × 2.1mm, support 12V~24V wide voltage input)
Power consumption
Normal: 4.8W(12V/400mA), Max: 18W(12V/1500mA)
Video output
1 × HDMI2.0 (4K@60Hz)
Video input
2 × MIPI D/C PHY (4 lanes DPHY or 3 trios CPHY) + 2 × MIPI D/C PHY (2 lanes DPHY or 1 trio CPHY)
Audio
1 × 3.5mm Audio jack (Supports MIC recording, American standard CTIA)
Os
Linux
Software support
Supports on-premises deployment of large-scale parameter models based on the Transformer architecture, such as large language models (LLMs) including the Deepseek-R1 series, Gemma series, Llama series, Qwen series, Phi series, etc. Supports the QNN AI inference framework, as well as various deep learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, ONNX, etc.
Dimension
122.89mm × 85.04mm × 31.55mm
Weight
Without heatsink: 117g; With heatsink: 165g
Environment
Operating Temperature: -20℃~60℃, Storage Temperature: -20℃~70℃, Operating Humidity: 10%~90%RH (No condensation)
Network
Ethernet: 2 × RJ45(1000Mbps) WiFi: Extend WiFi/Bluetooth module through M.2 E-KEY (2230), supporting 2.4GHz/5GHz dual band WiFi6 (802.11a/b/g/n/ac/ ax) and Bluetooth 5.2 4G: Extend 4G LTE via Mini PCIe (Shared with 5G) 5G: Extend 5G via M.2 B-KEY (Shared with 4G, not mounted by default)
Usb
2 × USB3.0 (Max: 1A), 1 × Type-C (Flash)
Button
1 × Reset, 1 × Recovery, 1 × Power
Other
1 × FAN (4Pin-1.25mm), 1 × SIM Card 1 × Double-row pin headers (20Pin-2.0mm): USB2.0, UART, 2 × I2C, Line in, Line out, GPIO 1 × Phoenix connector (8Pin-3.5mm): 1 × RS485, 1 × RS232, 1 × CAN 2.0 DIP switch: 1 × Auto Power-on DIP Switch (ON: Power on directly when connected; 1(OFF): Press Power button briefly to power on after connection) 1 × Type-C function selection(ON: Debug; 1(OFF): Flash)
Product tutorialsClick Here
Product datasheetClick Here
SDK software and firmware filesClick Here

Document links will be replaced with the official Firefly resource URLs on request.

Our cooperating carriers: FedEx, DHL, UPS, SF Express

Delivery Area And Cost

Country/Region 0–2kg 2–3kg 3–4kg 4–5kg 5–6kg 6–7kg 7–8kg 8–9kg 9–10kg
Japan, Taiwan, Hong Kong, Macau $15 $20 $25 $30 $35 $40 $45 $50 $55
Singapore, Thailand, Malaysia $20 $25 $30 $35 $40 $45 $50 $55 $60
Indonesia, Philippines $25 $30 $40 $50 $60 $70 $80 $85 $95
South Korea $25 $35 $35 $45 $45 $55 $55 $65 $65
United States, Australia, New Zealand, Canada, UK, and most of Western Europe $30 $45 $55 $65 $75 $85 $95 $105 $115
Other regions (Eastern Europe, Middle East, Latin America, etc.) $50 $65 $80 $95 $110 $125 $135 $150 $165

Shipping time is for reference only; the actual situation shall prevail.

Why Buy From Ai-Paipai?
  • Authorized & Genuine — sourced directly from brand-approved channels.
  • Local Engineering Support — datasheets, SDKs, and pre-flashed images in English and Chinese.
  • OEM / ODM & FPGA Customization — tailor specs, enclosures, and BSP for your project.
  • One-Stop Sourcing — Firefly + youyeetoo + our own FPGA / edge lineup in one store.
View full details

Frequently asked questions

What is AIO-8550JD4 QCS8550 AI Motherboard used for?
AIO-8550JD4 QCS8550 AI Motherboard 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-8550JD4 QCS8550 AI Motherboard 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-8550JD4 QCS8550 AI Motherboard 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-8550JD4 QCS8550 AI Motherboard 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
AI Processor QCS8550 The QCS8550 uses an octa-core Kryo CPU based on the ARM architecture with a clock speed of up to 3.36 GHz.
Deployment of Large AI Models Supports large-scale private deployment of Transformer models.
Multiple Deep Learning Frameworks Supports the QNN AI inference framework, as well as various deep learning frameworks, including TensorFlow, TensorFlow Lite, PyTorch, and ONNX.
Qualcomm Cognitive ISP with 36MP Triple Camera Features the Qualcomm Spectra Cognitive ISP with triple 18-bit ISPs, supporting camera configurations up to a triple 36MP, dual 64MP+36MP, or a single 108MP setup.