Qualcomm at CES 2026: New IoT & Edge Computing Solutions

By Linda Park - Technology Editor

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January 9, 2026 7:30 am

Qualcomm at CES 2026: New IoT & Edge Computing Solutions

1. Expanding the Edge Computing Ecosystem

2. Dragonwing Q-8750: High-Performance Edge Computing

the landscape of edge computing is rapidly evolving, and Qualcomm Technologies is positioning itself as a central player, extending its reach far beyond conventional mobile processors.This isn’t simply about faster chips; it’s about enabling intelligence at the source, from streamlining daily tasks to tackling the most complex global challenges.

Expanding the Edge Computing Ecosystem

Over the past year, Qualcomm has substantially broadened its offerings, incorporating processors, software, services, and tools for developers. This expansion includes the integration of five key acquisitions: Augentix, Arduino, Edge Impulse, Focus.AI, and Foundries.io. Moreover, Qualcomm Technologies now delivers system-on-chips specifically designed for bright IP cameras and advanced vision systems.

I’ve found that a key differentiator is the ability to tailor solutions to specific needs, rather than offering a one-size-fits-all approach. This flexibility is crucial in a market as diverse as the Internet of Things (IoT).

Dragonwing Q-8750: High-Performance Edge Computing

The Dragonwing Q-8750 represents the latest advancement in the series, engineered for demanding edge applications and immersive user experiences. Its AI engine delivers an impressive 77 trillion operations per second (TOPS), supporting various precision levels – INT4/8/16 and FP16 – which allows for real-time data processing and even the execution of substantial on-device large language models, reaching up to 11 billion parameters. This capability minimizes reliance on cloud connectivity for critical operations.

With support for up to 12 cameras and triple 48 MP image signal processors (ISPs), the Q-8750 is ideally suited for applications like drones, sophisticated media hubs, and multi-perspective vision systems. Here’s what works best: leveraging this processing power locally reduces latency and enhances privacy.

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Linda Park - Technology EditorTechnology Editor

Full Name: Linda Park Role: Editor, Tech Category: Tech Location: San Francisco, USA Education: MSc in Computer Science, Stanford University Experience: 9+ years in technology journalism and software development Expertise: Artificial intelligence, consumer electronics, software reviews, tech industry trends Awards: Tech Media Rising Star Award 2022 Professional Affiliations: Member, Online News Association Languages: English (native), Korean (fluent) Bio: Linda Park is a technology journalist and editor with a strong background in software engineering and digital innovation. She holds an MSc in Computer Science from Stanford University. Linda is passionate about making technology accessible and engaging, with a focus on AI, gadgets, and the latest tech trends. As Editor of the Tech section at World Today Journal, she delivers in-depth reviews, breaking news, and expert analysis to a global audience.