Avalue · Computer-on-Module (COM)

SMA-Q6490

SMA-Q6490 vue de face
SMA-Q6490, Image 1
Fiche technique

*Prix sur demande. Contactez-nous pour un devis.

Fabricant : Avalue

Points forts

  • SMARC Computer-on-Module (82 x 50 mm)
  • Qualcomm Kryo 670 octa-core (1×2.7 + 3×2.4 + 4×1.9 GHz), Arm v8 Cortex
  • 6th-gen Qualcomm AI Engine NPU, 12 TOPS (Hexagon DSP + tensor accelerator)
  • Adreno 643 GPU up to ~812 MHz
  • 8GB / 16GB LPDDR5, 128GB UFS
  • PCIe 3.0, GbE, 2x USB 3.2 + 1x USB 2.0, HDMI, eDP
  • DSI, CSI, CAN, I2C, I2S, UART, SPI, GPIO
  • Win11 IoT (WoA) / Android 13
  • Commercial -25~60°C / industrial -25~85°C; CE, FCC

Description du produit

The Avalue SMA-Q6490 is a SMARC Computer-on-Module built on the Qualcomm Kryo 670 octa-core (Arm v8 Cortex) processor with a 6th-gen Qualcomm AI Engine NPU delivering 12 TOPS, designed as a low-power edge-AI compute core for vision and inference.

With 8GB/16GB LPDDR5, 128GB UFS storage, and an Adreno 643 GPU, it brings AI acceleration to the credit-card-sized SMARC form factor.

It exposes PCIe 3.0, GbE, USB 3.2/2.0, HDMI, eDP, DSI, CSI, CAN, I2C, I2S, UART, SPI and GPIO through the standardised SMARC connector, running Windows 11 IoT (WoA) or Android 13, over a commercial -25~60°C (industrial -25~85°C) range.

Caractéristiques techniques

Processeur

Kryo 670 octa-core (1×2.7 GHz + 3×2.4 GHz + 4×1.9 GHz), Arm v8 Cortex architecture

NPU

6th generation Qualcomm AI Engine, 12 TOPS with Hexagon DSP and tensor accelerator

GPU

Adreno 643, up to ~812 MHz

Mémoire système

8GB/16GB LPDDR5

Chien de garde (watchdog)

Secure (TrustZone) HW watch dog: 22 seconds in default

Surveillance de l'état matériel

yes

Extension

PCIe 3.0

Stockage

128GB UFS

Chipset graphique

Adreno 643, up to ~812 MHz

eDP

* 1

Interface

PCIe3.0, GbE MDI, UART, USB, GPIO, DSI, I2C. I2S, DP, SDIO, CAN, MIPI-CSI, HDMI, eDP

Codec audio

N/A

Chipset LAN

N/A

Interface Ethernet

GbE MDI

OS

Win11 IoT (WoA), Android 13 (available in April)

Informations de certification

CE,FCC

USB

2x USB3.2, 1x USB2.0

Bus I2C

*3

PCIe

PCIe 3.0 *2 , PCIe 3.0*1

GPIO

*6

HDMI

*1

I2S

*2

SPI

*1

UART

*2

CAN

*1

Temp. de fonctionnement

-25~60°C (commercial-grade), -25~85°C (Industrial grade , available in May)

Temp. de stockage

-25~75°C

Humidité en fonctionnement

 IEC60068-2-78, Damp Heat Steady State Test,40C,95%,48Hrs

Poids

45 g

Alimentation requise

20W

Dimensions (long. x larg.)

82 x 50 mm

Qu'est-ce que le SMA-Q6490 ?

The SMA-Q6490 is a computer-on-module (com) manufactured by Avalue, designed specifically for smarc applications. It features réseau of yes, os of Win11 IoT (WoA), Android 13 (available in April) and certification of CE,FCC. The Avalue SMA-Q6490 is a SMARC Computer-on-Module built on the Qualcomm Kryo 670 octa-core (Arm v8 Cortex) processor with a 6th-gen Qualcomm AI Engine NPU delivering 12 TOPS, designed as a low-power edge-AI compute core for vision and inference. With 8GB/16GB LPDDR5, 128GB UFS storage, and an Adreno 643 GPU, it brings AI acceleration to the credit-card-sized SMARC form factor. It exposes PCIe 3.0, GbE, USB 3.2/2.0, HDMI, eDP, DSI, CSI, CAN, I2C, I2S, UART, SPI and GPIO through the standardised SMARC connector, running Windows 11 IoT (WoA) or Android 13, over a commercial -25~60°C (industrial -25~85°C) range.

Caractéristiques et avantages clés

  • SMARC Computer-on-Module (82 x 50 mm)
  • Qualcomm Kryo 670 octa-core (1×2.7 + 3×2.4 + 4×1.9 GHz), Arm v8 Cortex
  • 6th-gen Qualcomm AI Engine NPU, 12 TOPS (Hexagon DSP + tensor accelerator)
  • Adreno 643 GPU up to ~812 MHz
  • 8GB / 16GB LPDDR5, 128GB UFS
  • PCIe 3.0, GbE, 2x USB 3.2 + 1x USB 2.0, HDMI, eDP
  • DSI, CSI, CAN, I2C, I2S, UART, SPI, GPIO
  • Win11 IoT (WoA) / Android 13
  • Commercial -25~60°C / industrial -25~85°C; CE, FCC

Applications et cas d'usage

Le SMA-Q6490 est idéal pour de nombreuses applications d'automatisation industrielle :

  • Extreme temperature environments and outdoor installations
  • Peripheral device connectivity and data transfer
  • Memory-intensive applications and multitasking
  • Internet of Things (IoT) and edge computing
  • Industrial automation and control
  • Manufacturing process monitoring
  • Quality assurance and inspection
  • Production line automation

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