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Fogwise AIRbox Q900 Edge AI Mini Computer, Qualcomm IQ-9075 Octa-core Processor

Radxa

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SKU:
498-FW702-D36M0U2R49W33
MPN:
FW702-D36M0U2R49W33
Fogwise Airbox Q900 by Radxa is an industrial-grade edge computing gateway offering strong processing, AI capabilities and versatile connectivity. View full description
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₹66,948.00 ex. GST
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Technical Specifications

Brand:
Radxa
SoC:
Qualcomm Dragonwing IQ-9075
CPU:
Octa-Core Kryo Gen 6 (based Cortex-A78C) @2.36 GHz
MCU:
Quad-Core Cortex-R52 @ 1.85GHz
GPU:
Adreno 663 GPU,Delivers 1.2 TFLOPS FP32 with secure GPU compute, Supports Vulkan 1.2, OpenGL ES 3.2, OpenCL 2.0 FP, Supports Adreno NN Direct
NPU:
200 TOPS@INT8 (Sparse Computing Power)
RAM:
36GB 96-bit LPDDR5@6400MT/s (with ECC support)
Video Decode:
Formats: AV1 / HEVC / H.265 / H.264 / VP9 / MPEG-2,- 1x 8Kp60 / 2x 8Kp30 / 4x 4Kp60 / 8x 4Kp30 / 16x 1080p60 / 32x 1080p30
Video Encode:
Formats: H.264 / H.265 / HEIF / HEIC,2x 4Kp60 / 4x 4Kp30 / 8x 1080p60 / 16x 1080p30,Concurrent 2x 4Kp60 encode + 2x 4Kp60 decode
Storage:
1xOnboard 32MB SPI Flash,1x UFS & eMMC Connector,1x Onboard 128GB UFS 3.1 (Gear4 x2),1x M.2 M Key Slot (PCIe Gen4 x4)
Wireless:
1x Mini PCIe Slot, Support Wi-Fi 6 / BT 5.4, - Supports 4G / 5G Mini PCIe module for cellular network connectivity,1x Nano SIM Slot, Supports up to 3 external antennas
Ethernet:
2xRJ45 2.5G GbE (with TSN)
Display:
1xStandard HDMI 2.0 (Supports up to 4K@60fps)
USB Ports:
1xUSB 3.1 Gen2 HOST Type-A Port, 1xUSB 3.1 Gen2 OTG Type-A Port, 1xType-C Serial Console Port
Power Supply:
12V / 5.4A DC (5.5 x 2.5 mm) Power Input
Interfaces:
1xPWM Fan Connector, 1xRTC Battery Connector, 1xPower Button, 1xEDL Button
Dimension:
104x84x45 mm
Operation Temperature:
0 C ~ 60 C
Case & Cooling:
Aluminum alloy enclosure with built-in PWM cooling fan

Warranty Information

All the products supplied by Evelta are genuine and original. We offer 14 days replacement warranty in case of manufacturing defects. For more details, please visit our cancellation and returns page.

Description

Fogwise AIRbox Q900

Powered by the Qualcomm IQ-9075 processor, AIRbox Q900 brings powerful AI compute, rugged reliability, and versatile connectivity into a compact metal box.

The Fogwise Airbox Q900 from Radxa is a high-performance edge computing gateway designed for industrial IoT, smart buildings, automation and real-time data processing applications. Powered by an efficient multi-core architecture, the Airbox Q900 delivers robust computing performance while maintaining low power consumption, making it ideal for continuous operation in demanding environments. Its ruggedised enclosure, wide temperature tolerance and long-life design ensure reliable field deployment. The device supports multiple connectivity options, enabling seamless integration with sensors, cloud platforms and industrial networks. With strong AI processing capability, secure communication protocols and flexible expansion interfaces, the Fogwise Airbox Q900 offers a dependable platform for modern edge intelligence, predictive maintenance, environmental monitoring and smart industrial solutions.

The AIRbox Q900 comes with a pre-installed system, so you can start using it right away by simply powering it on - no system installation required!

Key Features

  • High-Performance Edge Computing: Optimised multi-core processor for real-time analytics and IoT workloads.
  • Industrial-Grade Design: Durable enclosure, stable performance and suitable for harsh environmental conditions.
  • Advanced Connectivity: Supports multiple wired and wireless communication options for seamless integration with IoT devices.
  • AI-Ready Processing: Capable of running lightweight AI models for on-device intelligence and automation tasks.
  • Flexible Expansion: Provides versatile interfaces for sensors, peripherals and custom edge applications.
  • Reliable Continuous Operation: Low power consumption and long lifecycle support for long-term deployment.

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

Interfaces