Dusun IoT’s DSGW-380 Industrial Edge Computing Gateway Now Qualified for AWS IoT Greengrass

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Dusun IoT is thrilled to announce that the newest IoT Gateway DSGW-380 industrial AI edge computing gateway, has qualified for Amazon Web Services (AWS) Internet of Things (IoT) Greengrass, an IoT open source edge runtime and cloud service that facilitates the development, deployment, and management of device software.

This certification underscores Dusun IoT’s commitment to providing advanced IoT edge solutions that seamlessly integrate with leading cloud services, thus accelerating the deployment and scalability of edge-to-cloud applications.

dsgw 380 qualified for aws iot greengrass1

Extend Cloud Intelligence to the Industrial Edge for IT and OT Convergence

The growing reliance on edge computing systems has pushed the need for cloud capabilities in vertical industries. Dusun IoT’s DSGW-380 industrial edge computing gateway is validated to run AWS IoT Greengrass and interoperate with AWS Internet of Things (IoT) services, ensuring immediacy, scalability, autonomy, and security in the convergence of information technology (IT) and operational technology (OT). Furthermore, the adoption of AWS IoT Greengrass facilitates the deployment and configuration of assets like AWS Lambda functions and Docker images. It also enables users to run machine learning (ML) inferences locally on the edge device based on models built and trained in the cloud. This extends AWS functionality and cloud intelligence to the edge, even supporting DLR and TensorFlow Lite runtime to perform ML inference at the edge with AWS IoT Greengrass on locally generated data using cloud-trained models. This enables local devices to act on locally generated data, while storing, analyzing, visualizing, and decision-making tasks are conducted through the cloud, streamlining data processing operations and facilitating the convergence of OT and IT.


With AWS IoT Greengrass certification, Dusun IoT’s DSGW-380 simplifies the deployment process for IoT solutions, reducing development time and resource investment. Businesses can deploy edge solutions rapidly with the assurance of compatibility and performance with AWS cloud services.

High Performance Edge Capabilities with Heterogeneous Multicore

DSGW-380 edge AI gateway designed to excel in machine learning on the edge applications. At the core of this gateway boasts RK3588 – heterogeneous multicore SoC that combines a quad-core Cortex-A76 and a quad-core Cortex-A55, offering a balanced mix of high-performance and power efficiency. A built-in NEON coprocessor to enhance its capabilities in AI processing. Meanwhile, there is a NPU (Neural Processing Unit) in the CPU allows for specialized AI processing and supporting a range of data types including INT4, INT8, INT16, and FP16. This NPU can deliver up to 6 TOPS of computing power, making it suitable for demanding AI tasks.

The AMP heterogeneous multicore capabilities of the DSGW-380 RK3588 Edge computing gateway offer considerable advantages in industrial IoT applications, essential for handling high-power computational needs through the Master’s Linux system, such as video algorithms and local edge computing with an NPU. Industrial protocols with stringent rate and latency requirements (e.g., Ethercat, EIP, Profinet) are optimally managed by the Slave’s RTOS system. The tandem operation of these systems results in efficient performance.

Seamless IoT Connectivity for Industrial Application

dsgw 380 inner board

DSGW-380 edge computing gateway has rich IoT connectivity options including 5G, 4G LTE CAT4, CAT1, Wi-Fi 6 (IEEE 802.11ax), IoT wireless protocols like BLE 5.2 and LoRaWAN, and a variety of industrial real-time Ethernet and fieldbus protocols, facilitating diverse industrial connectivity scenarios. Additionally, its integration capabilities are enhanced with multiple I/O ports for connecting a wide array of devices, from sensors to actuators, thus enabling a truly interconnected industrial IoT environment. This comprehensive connectivity suite makes it compatible with diverse industrial applications such as robotics, intelligent manufacturing automation, and smart infrastructure for industry 4.0.

DSGW-380 edge comouting gateways also feature edge container technology that supports third-party container-native applications and allows cloud services to be deployed as decentralized computing resources.

Robust and Secure Industrial Design

crafting excellence with uncompromising quality

Constructed to withstand harsh industrial environments, the DSGW-380 industrial edge computing gateway boasts a rugged enclosure and offers a wide range of operating temperatures spanning from -25℃ to 75℃. Also, It has a active fan cooling system to maintain the gateway’s optimal operating temperature, ensuring consistent performance, especially during intensive AI computations.

Meanwhile, it adheres to stringent industry standards with flexible installation options including DIN-Rail and Wall Mounting for reliability and durability, making it suitable for deployment in sectors such as manufacturing, logistics, and utilities where conditions may be extreme.

Do you want to learn more about deploying DSGW-380 Industrial edge computing gateway for your solution? Contact Us now!

DSGW 380 1
  • RK3588 Octa core
  • 512MB RAM
  • Up to 128GB EMMC
  • SIM Card Slot, RS232, RS485, CAN Port, HDMI, USB 3.0, RJ45, I/O Port
  • -25℃~75℃ Industrial Temperature
  • Debian
  • Smart Factory

About Dusun IoT

Dusun IoT is recognized for the innovative solutions in the IoT space, specializing in the design and manufacture of industrial IoT products and technologies. With a focus on advancing IoT accessibility across industries, Dusun IoT continues to invest in research and development to offer cutting-edge solutions that enhance connectivity and reliability in critical industrial applications.

More details about the Dusun’s AWS IoT qualified products can be found in the AWS Partner Device Catalog.

Stay tuned for upcoming advancements and further product announcements from Dusun IoT, your trusted partner in industrial IoT and edge computing solutions.

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