1. Home
  3. AIO-8550JD4 QCS8550 AI Motherboard

AIO-8550JD4 QCS8550 AI Motherboard

$789.00 USD
$789.00 USD
Shipping calculated at checkout.

Please Note: Shipping will be paused Feb 13 to 24 due to the Lunar New Year. 

Thanks for understanding!

Spec: 16G RAM+256G ROM
  • American Express
  • Bancontact
  • Google Pay
  • iDEAL
  • Mastercard
  • PayPal
  • Shop Pay
  • Union Pay
  • Visa
Brand: Firefly
Availability: Out of stock
$789.00 USD
$789.00 USD

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

AIO-8550JD4 QCS8550 AI Motherboard
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)

More details about Shipping Policy: Click Here

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

Delivery Area And Cost

Country/Region 0.0001-2kg 2.0001-3kg 3.0001-4kg 4.0001-5kg 5.0001-6kg 6.0001-7kg 7.0001-8kg 8.0001-9kg 9.0001-10kg
Japan, Taiwan, Hong Kong, Macau $15 $20 $25 $30 $35 $40 $45 $50 $55
Indonesia, Philippines $25 $30 $40 $50 $60 $70 $80 $85 $95
South Korea $25 $35 $35 $45 $45 $55 $55 $65 $65
Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, United States, Australia, New Zealand, Austria, Belgium, Denmark $30 $45 $55 $65 $75 $85 $95 $105 $115
Canada, United Kingdom $40 $50 $60 $75 $85 $95 $105 $115 $130
Hungary, India, Israel, Laos, Myanmar, Poland, Saudi Arabia, Turkey, United Arab Emirates, Vietnam, Bangladesh, Qatar, Cyprus, Pakistan, Brunei, Sri Lanka, Jordan, Oman, Maldives, Bulgaria, Iceland, Slovakia, Lithuania, Romania, Albania, Armenia, Mexico, Nepal, Serbia, Cambodia, Croatia, Czech Republic, Slovenia, Kazakhstan $50 $65 $80 $95 $110 $125 $135 $150 $165
Singapore, Thailand, Malaysia $20 $25 $30 $35 $40 $45 $50 $55 $60

 

Shipping Time (for reference only, the actual situation shall prevail):

Area  Shipping time
Europe 3 - 7 business days
Asia, Oceania 3 - 7 business days
North America 3 - 7 business days
South America 5 - 10 business days

 

Please check which area your region/country is in.

Order preparation time: 3-7 business days (specific details need to refer to the order situation).