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CES 2026: Qualcomm Expands Edge AI Push With New IoT Chips and Tools

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At CES, Qualcomm unveils new Dragonwing processors and an expanded IoT portfolio aimed at accelerating secure, on-device AI across industries.

Qualcomm Technologies on Tuesday unveiled a significantly expanded Internet of Things portfolio at the Consumer Electronics Show, reinforcing its ambition to become a central provider of edge computing and artificial intelligence across industrial and embedded markets.

The announcement includes new Qualcomm Dragonwing Q-series processors, expanded software and services, and a broader set of developer tools—many enabled by five acquisitions completed over the past 18 months, including Augentix, Arduino, Edge Impulse, Focus.AI and Foundries.io. Together, the additions position Qualcomm Technologies to address edge AI needs across a wide range of verticals, from security cameras and drones to industrial automation and media systems.

“At Qualcomm Technologies, we’re not just introducing new products—we’re launching a comprehensive new approach,” said Nakul Duggal, executive vice president and group general manager for automotive, industrial and embedded IoT and robotics. The company’s goal, he said, is to help organizations of all sizes deploy scalable, intelligent systems at the edge.

New Dragonwing Processors for On-Device AI

Central to the announcement are two new processors designed for security-focused, on-device AI.

The Dragonwing Q-8750, Qualcomm Technologies’ most advanced IoT processor to date, delivers up to 77 trillion operations per second of AI performance. It supports real-time inference and on-device large language models of up to 11 billion parameters, reducing reliance on cloud connectivity for critical applications. Its camera architecture supports up to 12 physical cameras, making it suitable for drones, media hubs and complex vision systems.

The Dragonwing Q-7790 targets mainstream consumer and industrial devices, offering 24 TOPS of AI performance for applications such as smart cameras, AI-powered televisions and video collaboration systems. The processor includes advanced multimedia capabilities and built-in security features, positioning it for environments where data integrity is essential.

Also Read: How Explainable AI Builds Trust in Data Decisions

Expanding Edge Vision and Security Capabilities

Qualcomm Technologies also announced the completion of its acquisition of Augentix, a Taiwanese developer of low-power image processors for IP cameras and smart home devices. The acquisition strengthens Qualcomm’s position in security-focused edge AI, enabling more power-efficient, high-resolution vision systems across smart cameras and industrial IoT deployments.

The company introduced updates to its Qualcomm Insight Platform, a software-as-a-service offering that applies edge AI and conversational interfaces to real-time video analysis. The platform is designed to help organizations modernize existing camera infrastructure and extract actionable intelligence for security and operational use cases.

A Unified Developer Ecosystem

Qualcomm Technologies is also reshaping its Industrial and Embedded IoT business around a unified software architecture supporting Linux, Windows and Android. By integrating platforms such as Arduino, Edge Impulse and Foundries.io, the company aims to lower barriers for developers and accelerate the path from prototyping to commercialization.

Edge Impulse is now fully integrated into Qualcomm’s Dragonwing AI On-Prem Appliance, enabling organizations to train and deploy large AI models in highly secure, offline or private-network environments—an increasingly important requirement for critical infrastructure and regulated industries.

Also Read: AI vs. AI: The $10B Cybersecurity Battle You’re Missing

Positioning for the Next Phase of Edge AI

Beyond processors and software, Qualcomm highlighted its terrestrial positioning services, which provide location accuracy across IoT devices without relying solely on satellite systems—an approach designed to support use cases ranging from emergency response to indoor and underground tracking.

Taken together, the announcements reflect Qualcomm Technologies’ broader strategy: shifting edge AI from isolated deployments to a scalable, developer-friendly platform that spans hardware, software and services. As enterprises look to process more data locally—driven by cost, latency and security concerns—Qualcomm is positioning itself as a foundational supplier for the next generation of intelligent, connected systems.

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