AIBOX-9075 Industrial Edge Computer

Regular price $1,229.00 USD
Regular price Sale price $1,229.00 USD
Shipping calculated at checkout.
Spec: 36G
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Brand: Firefly
Availability: 5 in stock
Regular price $1,229.00 USD
Regular price Sale price $1,229.00 USD

Powered by Qualcomm IQ-9075 processor, delivering up to 200 TOPS of peak AI computing power and achieving 12TPS large model inference, enabling on-device private deployment of large language models. Its octa-core CPU runs at up to 2.36GHz, well-suited for high‑load edge AI and multi‑task concurrency. It features built‑in security subsystem and four real‑time cores. Leveraging Qualcomm Linux software stack, it supports Ubuntu/Yocto systems and mainstream AI inference frameworks. With an industrial wide‑temperature design, it comes standard with GMSL2, CAN‑FD, RS485, and opto‑isolated I/O.

Feature

  • High-Performance AI Processor IQ-9075
  • GPU/VPU Graphics & Multimedia Processing
  • Up to 36GB LPDDR5 Memory
  • All-Scenario Multi-Standard Network Connectivity
  • 8-Channel GMSL2 Vision Capture Interface
  • Support -40°C to 85°C Wide Temperature
  • Rich Industrial Expansion Interfaces
  • Full-Stack Software Ecosystem Support

Product Overview

Soc

Qualcomm IQ-9075

Cpu

Qualcomm Kryo® Gen6 CPU: Octa-core 64-bit (8×Kryo Gold Prime), up to 2.36 GHz

Gpu

Adreno 663 GPU supports safe GPGPU compute, up to 840MHz
· Graphics APIs: Vulkan 1.2, OpenGL ES 3.2
· Compute APIs: Vulkan 1.2, OpenCL 2.0 FP, Adreno NN Direct

Ram

36GB LPDDR5 (ECC supported)

Storage

128GB UFS2.2

Storage expansion

1 × M.2 (PCIe 4.0 x4 NVMe 2280 SSD expandable; located inside the computer)

Power consumption

Normal: 12W(12V/1000mA), Max: 60W(12V/5000mA), Min(Sleep): 1.08W(12V/90mA)

Os

Ubuntu, Yocto Linux Software Stack

Software support

Supports private deployment of ultra-large parameter models under the Transformer architecture, including the Deepseek-R1 series, Gemma series, Llama series, Qwen series, Phi series and other large language models.
Supports private deployment of image generation models such as Stable Diffusion.
Supports the QNN AI inference framework, as well as multiple deep learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, ONNX, Keras and Caffe.

Dimension

110.2mm × 102.25mm × 72.0mm (without mounting ears)

Environment

Operating Temperature: -40℃ ~ 85℃, Storage Temperature: -40℃ ~ 90℃, Storage Humidity: 10% ~ 90%RH (non-condensing)

Wireless network

Wi-Fi & Bluetooth: Supports Wi-Fi 6 and Bluetooth 5.2 (expandable via internal M.2 E-KEY) 4G/5G: Expandable via internal Mini PCIe

Ethernet

2 × 2.5G Ethernet (2.5Gbps/RJ45)

Button

1 × Power Button, 1 × Burn Button

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).