AEWIN Technologies and INFINITX Collaborate to Build Customized, Comprehensive Smart Application Services

Reprinted from Economic Daily News

Founded in 2000, AEWIN Technologies Co., Ltd. (AEWIN) has over 20 years of experience in the design and manufacturing of high-performance network equipment. AEWIN’s offerings include networking equipment, servers, network expansion cards, and accelerator cards, providing customers with complete product design, manufacturing, and technical support services that fulfill various network application needs across industries and are highly regarded in the field.

Importantly, in 2019, AEWIN joined the Qisda Group, becoming one of the hardware suppliers in the BenQ Qisda Solutions Alliance. AEWIN collaborates with AI application software providers to develop innovative edge intelligence solutions and provides comprehensive Open RAN solutions in partnership with Qisda’s 5G/CPE suppliers, supporting GPU computing resources across various intelligent applications. “AEWIN offers a full range of Intel and AMD platforms, from desktop products to high-performance rack-mounted servers, with in-house network card support spanning bandwidths from 1G to 100G to meet client requirements,” said Yu-Ting Shao, AEWIN’s Product Marketing Manager. “In addition, AEWIN provides customized design and software support. In recent years, we have expanded from rack-mounted network communication products to general-purpose servers and edge computing (Edge Server) to become a comprehensive solution partner in networking, IoT, cloud computing, and fog computing.”

With advancements in 5G, AI, edge computing, and cybersecurity, the rapid growth of the metaverse and digital innovation applications now requires efficient CPU and GPU resources. AEWIN and INFINITX Software Co., Ltd. have joined forces to integrate AEWIN’s Edge AI Server with INFINITX’s machine learning development and operations management platform, AI-Stack, providing an optimized development environment that helps industries maximize application value. With extensive expertise in GPU management and development, INFINITX’s AI-Stack enables AEWIN’s platform to efficiently utilize GPU resources, offering a user-friendly platform for AI development and management that accelerates the transition from AI modeling to application. In applications such as smart cities and healthcare, AEWIN’s Edge AI Server, paired with the AI-Stack platform, facilitates multi-server management, enhancing overall resource efficiency for a multi-win scenario.

Yu-Ting Shao also highlighted that AEWIN’s networking products are trusted by international cybersecurity experts, while AEWIN’s Edge AI Server and MEC have achieved notable successes in AI solutions. In “smart city traffic management,” for example, vast data requires efficient computation. AEWIN’s edge computing devices offer high computational power, enabling simultaneous machine learning and AI model training. Edge computing processes traffic, pedestrian, signal, and parking data streams, allowing city managers to plan effectively with strong video analysis, AI object recognition, anomaly alerts, and smart decision-making systems. AEWIN products like the SCB-1739, SCB-1826, SCB-1932, and SCB-1937, including single- and dual-CPU designs for Intel and AMD platforms, deliver the performance needed for real-time inference and training models.

Furthermore, in the increasingly popular “smart healthcare management” field, AEWIN’s high-spec edge servers with powerful CPU and GPU processing and compact designs bring real-time inference and AI model updates to the edge. For example, in cancer detection applications, high-speed AI-based analysis of CT scans significantly reduces diagnostic time and improves accuracy. Integrating and analyzing large volumes of pathology data also aids in AI model development, driving smart healthcare applications and advancements more efficiently.

Yu-Ting Shao also emphasized, “In the IoT landscape, every connection point can become a cybersecurity vulnerability. AEWIN provides network equipment, network cards, and accelerator cards that ensure fast packet transmission while meeting security needs through real-time data encryption, high-speed data transfer, and superior processing capabilities. To address the rapid data growth, high-speed analysis is deployed directly at the edge, enhancing edge computing to support low-latency applications. Multi-layer data filtering and processing at the endpoint before uploading to the cloud also strengthen comprehensive cybersecurity.”