
Fogwise AIRbox Q900
Edge AI, Ready from Day One
Powered by Qualcomm Dragonwing™ IQ-9075 Processor, AIRbox Q900 brings powerful AI compute, rugged reliability, and versatile connectivity into a compact metal box.
Octa-core
Adreno 663
200 TOPS
WiFi 6
PCIe Gen4
BT 5
Ethernet
4G/5G Network
Full-Metal
LPDDR5
Powered by Qualcomm Dragonwing™ IQ-9075 Processor
Octa-core Kryo Gen6 CPU up to 2.36 GHz, Adreno 663 GPU, and dual Hexagon NPUs delivering up to 200 TOPS — combining CPU, GPU, and NPU acceleration for edge AI.
200 TOPS
8x Big-Core Architecture for Flagship Edge
Performance
Powered by eight Kryo Gen6 big cores based on the Arm Cortex-A78C architecture, the IQ-9075 CPU reaches up to 2.36 GHz and delivers up to 230K DMIPS of processing power. The all-big-core design ensures consistent high-performance computing, ideal for demanding edge AI and multitasking workloads.
Kryo Gen6
Up to 2.36GHz
Kryo Gen6
Up to 2.36GHz
Kryo Gen6
Up to 2.36GHz
Kryo Gen6
Up to 2.36GHz
Kryo Gen6
Up to 2.36GHz
Kryo Gen6
Up to 2.36GHz
Kryo Gen6
Up to 2.36GHz
Kryo Gen6
Up to 2.36GHz
Adreno 663 GPU — Built for Edge Visual Intelligence
Supports secure GPGPU compute for edge AI workloads. Fully compatible with modern graphics and compute APIs.


Flagship Video Engine
Multi-Stream UHD, Real-Time Processing

Support:
Compact and Rugged by Design
Full-metal enclosure with PWM active cooling ensures 24/7 stability. Compact size makes deployment flexible and easy.

Full Metal
Durable aluminum alloy enclosure with corrosion resistance and robust design for industrial deployments.
Active Cooling
via PWM fan ensures thermal stability and long-term reliability.
Compact Size
104 × 84 × 45 mm, easy to embed in cabinets, vehicles, kiosks, and industrial settings.

High-Speed Memory & Storage Expansion
36GB LPDDR5 with ECC, 128GB UFS 3.1 onboard, expandable with M.2 NVMe SSD — smooth multitasking and flexibility for edge workloads.

36GB
LPDDR5 @ 6400MT/s
128GB
UFS 3.1 Gear4 2Lane
M.2 NVMe
PCIe Gen4 x4 SSD
Rich Connectivity & Expansion
HDMI 2.0 (4K), USB 3.1 HOST & OTG, Type-C debug, dual 2.5G Ethernet with TSN. Mini PCIe slot for Wi-Fi 6 or 4G/5G modules, SIM card slot included.

HDMI 2.0
4K@60fps display output
USB
USB 3.1 HOST + USB 3.1 OTG Type-A, plus Type-C serial console port
Storage
128 GB UFS 3.1 onboard; M.2 M.2 Key 2230 for NVMe SSD expansion
Networking
Dual RJ45 2.5 GbE ports with TSN support
Wireless/Cellular
Mini PCIe slot (half/full size) supports Wi-Fi 6 or 4G/5G modules—plus a built-in SIM slot
Maintenance
Includes EDL (Emergency Download) button for flashing/reset
Comprehensive and Rich AI Ecosystem
Support Yocto or Ubuntu with TensorFlow, PyTorch, ONNX, and more.
Run GPT, LLaMA, and Stable Diffusion locally — secure and low-latency.
Ready to Compute Out of the Box
Support Yocto or Ubuntu and ready for AI deployment.

Extensive Compatibility
Compatible with major frameworks: TensorFlow, PyTorch, ONNX, Paddle, Caffe, DarkNet, etc.

Low-latency Performance
e.g., LLaMA-7B inference in ~0.6 s first token and ~12 tokens/s thereafter.

Ideal For Local AI APPs
Run popular open-source apps with ease

AIRbox is
AI Ready
Plug-and-play AI deployment
AI Recognition
Vision, voice, and data recognized in milliseconds
AI Reasoning
On-device inference and intelligent decisions
AI Realtime
Millisecond responses, no cloud delay
AI Reliability
Industrial-grade reliability, built to endure

Applications & Use Cases

Edge Generative AI
Deploy private GPT or Stable Diffusion models directly on-site—instant, confidential, offline.

Real-time Computer Vision
Multi-camera analytics for surveillance, inspection, smart buildings, or robotics.

Remote and Harsh Environments
Rugged hardware suited for factory floors, retail automation, smart healthcare kiosks.

Industrial Automation
On-device logic for industrial control, predictive maintenance, sensor fusion.

Radxa provides comprehensive technical documentation, empowering users to fully utilize their products. At the same time, they actively maintain an engaged community, fostering communication and collaboration among users.

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