Firefly Q6490A Open-Source Single-Board Computer

Firefly Q6490A Open-Source Single-Board Computer

4G+64G
$389.00
$389.00
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Firefly Q6490A Open-Source Single-Board Computer
  • Firefly Q6490A Open-Source Single-Board Computer
  • Firefly Q6490A Open-Source Single-Board Computer
  • Firefly Q6490A Open-Source Single-Board Computer
  • Firefly Q6490A Open-Source Single-Board Computer
  • Firefly Q6490A Open-Source Single-Board Computer
Firefly Q6490A Open-Source Single-Board Computer

Firefly Q6490A Open-Source Single-Board Computer

$389.00
$389.00
Shipping calculated at checkout.
Spec:4G+64G

The Firefly Q6490A is a Qualcomm QCS6490 single-board computer with up to 12 TOPS of AI performance, dual-camera support, and Wi-Fi 6, designed for edge AI, machine vision, and local large-model deployment.
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Firefly Q6490A Open-Source Motherboard

Firefly Q6490A Open-Source Motherboard

The Firefly Q6490A features a Qualcomm QCS6490 processor (octa-core, 64-bit, 6nm, up to 2.7GHz) and sixth-generation AI Engine delivering up to 12 TOPS for mainstream AI frameworks and private on-device large models. Its Adreno 643 GPU and 633 VPU support 4K@60fps decoding and 4K@30fps encoding. Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2, PCIe/MIPI/USB, and simultaneous dual-camera capture enable flexible expansion. Qualcomm Linux and Ubuntu 24 support edge computing, surveillance, machine vision, and embedded AI.

Firefly Q6490A
12 TOPS AI for On-Device Large Models

12 TOPS AI for On-Device Large Models

The QCS6490’s sixth-generation AI Engine and Hexagon DSP tensor accelerator deliver up to 12 TOPS for image recognition, object detection, video analytics, and real-time inference. Hardware acceleration stably runs vision algorithms, large models, and generative AI entirely on-device, reducing cloud dependence and latency while protecting local data.

Comprehensive Full-Stack Software Ecosystem

Comprehensive Full-Stack Software Ecosystem

The Qualcomm Linux software stack provides native Ubuntu compatibility and private deployment of Transformer-based multimodal models, including Gemma, Llama, Qwen, and Phi. The QNN inference framework, alongside support for TensorFlow, PyTorch, ONNX, Keras, and Caffe, enables rapid model conversion, validation, and end-to-end edge AI deployment..

Extensive AIoT Expansion Interfaces

Extensive AIoT Expansion Interfaces

Two MIPI-CSI inputs, one MIPI-DSI output, and an HD 2.0 output support 4K dual displays with independent content. Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2, PCIe 3.0, USB 3.0/2.0, a TF card slot, and a 3.5mm audio jack offer extensive connectivity. Headers expose SPI, UART, I2C, and GPIO for industrial control and diverse edge IoT devices.

Application Scenarios

Applications include edge computing, private on-device large-model deployment, robotics, industrial vision inspection, intelligent security, in-vehicle multi-camera perception, smart city terminals, smart retail, self-service kiosks, industrial scanners, and tablets.

Edge Computing 2
Edge Computing 2
Private Deployment of Large Models
Private Deployment of Large Models
Industrial Scanner
Industrial Scanner
Smart Surveillance
Smart Surveillance
Robots
Robots
Self-Service Terminals
Self-Service Terminals

Interfaces

Interfaces

Specifications

Firefly Q6490A
Basic Specifications SOC

Qualcomm QCS6490
CPU

Qualcomm Kryo CPU: Octa-core 64-bit processor (1×Kryo Prime 2.7GHz + 3×Kryo Gold 2.4GHz + 4×Kryo Silver 1.9GHz), built on advanced 6nm process, max frequency up to 2.7GHz
GPU

Adreno 643 GPU, supports OpenGL ES 3.2, Vulkan 1.x, OpenCL 2.0, DX FL12
ISP

Spectra 570L ISP, Zero Shutter Lag (ZSL) mode: 64MP / 36MP+22MP / 3×22MP @30fps, Non-Zero Shutter Lag (non-ZSL) mode: 192MP
NPU

Hexagon 770 NPU, 12 Dense TOPS
Codec

Video Decoding: 1×4K@60fps/2×4K@30fps/4×1080P@60fps (H.264/AVC, VP9)

Video Encoding: 1×4K@30fps/4×1080P@60fps (H.264/AVC)

Video Concurrency: 1080P@60fps decoding + 1080P@60fps encoding / 4K@30fps decoding + 1080P@30fps encoding
RAM

4GB/8GB LPDDR5
Storage

64GB eMMC
Storage expansion

1 × M.2 M-KEY (expandable for PCIe Gen3 x2 2242 NVMe SSD), 1 × TF Card
OS

Qualcomm Linux, Ubuntu
Software support

Supports private deployment of ultra-large-parameter models under Transformer architecture, including large language models such as Deepseek-R1, Gemma, Llama, Qwen and Phi series.

Supports QNN AI inference framework and multiple deep-learning frameworks: TensorFlow, TensorFlow Lite, PyTorch, Keras, Caffe.
Power

DC 12V/2A (5.5mm × 2.1mm)
Power consumption

Normal: 3.6W(12V/300mA), Max: 9.6W(12V/800mA), Min(Sleep): 0.6W(12V/50mA)
Dimension

93.0mm × 60.14mm × 12.16mm
Weight

≈55g
Environment

Operating Temperature: -20℃～60℃, Storage Temperature: -20℃～70℃, Operating Humidity: 10%～90%RH (No condensation)
Interface Specifications Internet

1 × Gigabit Ethernet (1000 Mbps/RJ45)

On-board Wi-Fi6 & Bluetooth5.2 combo module
Video input

2 × MIPI -CSI (D-PHY v1.2/C-PHY v1.2, 4Lane, 30Pin-0.5mm), supports simultaneous image capture from 2 cameras
Video output

1 × MIPI-DSI (D-PHY 1.2/C-PHY 1.2, 4-Lane, max resolution 4K@30Hz)

1 × HD2.0 (max resolution 4K@30Hz)

Supports dual-screen different-display / dual-screen same-display
Audio
1 × 3.5mm Audio Jack (supports MIC recording, CTIA standard), 1 × MIC (2Pin-1.25mm)
USB

1 × USB3.0 (5Gbps, USB-A, max: 1A), 1 × USB2.0 (USB-A, max: 0.5A), 2 × USB2.0 (broken out via double-row pin header), 1 × Type-C (USB2.0 OTG)
Antenna

1 × Wi-Fi Antenna
Button

1 × Power, 1 × Download
Other interfaces

1 × Double-row pin header (20Pin-2mm, break out: 2 × USB2.0, 1 × Speaker, 1 × SPI, 1 × UART, I2C, GPIO), 1 × FAN (5V, 4P-1.25mm), 1 × Debug (3Pin-2mm)

Customization

Firefly team provides hardware, software, turnkey and OEM/ODM customization services.

Hardware Solution Software Solution Turnkey Solution OEM/ODM Solution

Firefly is dedicated to delivering hardware-software-integrated intelligent solutions across diverse industries. Firefly is dedicated to delivering hardware-software-integrated intelligent solutions across diverse industries.

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