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Qualcomm's new flagship processors introduce dedicated hardware accelerators capable of running large-scale mixture-of-experts models locally, marking a significant shift toward edge-based AI inference on smartphones. By enabling the local execution of 30B parameter models and specialized sensing hubs, these chips reduce reliance on cloud connectivity for complex tasks like voice agents and personalization. This architectural evolution directly impacts the feasibility of privacy-preserving, offline-capable AI applications in consumer devices.
Source coveringTechCrunch
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Qualcomm launches two new smartphone chips with emphasis on AI

TechCrunch2 min read

Qualcomm said that its new top chip can run 30B mixture-of-expert model locally.

Qualcomm today announced two flagship smartphone processors, called Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Extreme Gen 6, with a focus on facilitating better AI-focused features. At its annual Snapdragon Summit, Qualcomm said that the new chips can aid in improved…

Excerpt shown under the publisher's RSS terms · 43 words · full text and figures are on the publisher's site

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