EC-Q6490A

EC-Q6490A

4G+64G
$399.00
$399.00
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EC-Q6490A
  • EC-Q6490A
  • EC-Q6490A
  • EC-Q6490A
  • EC-Q6490A
  • EC-Q6490A
  • EC-Q6490A
EC-Q6490A

EC-Q6490A

$399.00
$399.00
Shipping calculated at checkout.
Spec:4G+64G

QCS6490 mini PC with up to 12 TOPS AI performance, Wi-Fi 6 and Gigabit Ethernet for connected edge devices.
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EC-Q6490A Edge AI Computer

EC-Q6490A Edge AI Computer

Powered by the Qualcomm QCS6490 octa-core 64-bit processor, the EC-Q6490A combines a 6nm process and speeds up to 2.7GHz with a sixth-generation AI Engine delivering up to 12 TOPS.It supports mainstream AI frameworks and local large-model deployment.The Adreno 643 GPU and 633 VPU support 4K@60fps decoding and 4K@30fps encoding.Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2, PCIe, USB, Qualcomm Linux, and Ubuntu provide flexible connectivity.

EC-Q6490A
12 TOPS On-Device AI

12 TOPS On-Device AI

The 6th-generation Qualcomm AI Engine and Hexagon DSP Tensor Accelerator deliver up to 12 TOPS of AI performance, supporting image recognition, object detection, video analysis, and real-time inference. They reduce reliance on the cloud, minimize latency, and help protect data by processing it locally.

Full-Stack Software Support

Full-Stack Software Support

Ubuntu compatibility, Qualcomm AI Engine, and the QNN inference framework provide the software foundation for edge AI development. SDKs, drivers, and sample code support model conversion, quantization, and deployment, simplifying integration and debugging.

AIoT Expansion Interfaces

AIoT Expansion Interfaces

Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2, PCIe 3.0, USB 3.0, USB 2.0, HD2.0, a TF card slot, and audio output provide flexible connectivity for industrial control systems and a wide range of edge IoT peripherals.

Application Scenarios

Suitable for edge computing, private deployment of on-device large models, robotics, industrial visual inspection, intelligent security, in-vehicle multi-camera perception, smart city terminals, smart retail, self-service terminals, industrial scanners, and other embedded applications.

Edge Computing
Edge Computing
Large Model Localization
Large Model Localization
Robots
Robots
Intelligent Security
Intelligent Security
Self-Service Terminals
Self-Service Terminals
In-Vehicle Multi-Camera Perception
In-Vehicle Multi-Camera Perception

Interfaces

Interfaces

Specifications

EC-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, located inside the computer), 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, PaddlePaddle, JAX.
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

116.0mm × 105.2mm × 31.5mm
Weight

Net Weight: 411g, Gross Weight with Package: 678g
Environment

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

1 × Gigabit Ethernet (1000 Mbps/RJ45)

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

1 × HD2.0 (max resolution 4K@30Hz)
Audio
1 × 3.5mm Audio Jack (supports MIC recording, CTIA standard)
USB

1 × USB3.0 (5Gbps, max: 1A), 1 × USB2.0 (max: 0.5A), 1 × Type-C (USB2.0 OTG)
Antenna

1 × Wi-Fi Antenna
Button

1 × Power, 1 × Download (Located inside the computer, behind the 3.5mm audio jack)