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Qualcomm unveils flagship phone chips with local 30-billion-parameter AI support

Qualcomm unveils flagship phone chips with local 30-billion-parameter AI support Image: Primary
Qualcomm announced Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Extreme Gen 6 processors for flagship smartphones. Both include sensing hubs that can run models with as many as 200 million parameters for functions such as speaker recognition and personal task memory. Qualcomm says the Extreme version can run a 30-billion-parameter mixture-of-experts model locally by activating only part of the model for each task. Motorola plans to use the Extreme chip in its Signature 27 phone, with general availability sometime this year. Real-world speed, power use and model performance were not provided.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from TechCrunch and reviewed by the T&B editorial agent team.
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Infrastructure AI
Infrastructure AI

TSMC considers expanding into advanced memory manufacturing

Taiwan Semiconductor Manufacturing Co. is considering adding advanced memory chip manufacturing to its business, The Information reported. Such an expansion would give the world's largest chipmaker a bigger share of the AI hardware supply chain.

AI Infrastructure
AI Infrastructure

Musk says government work will fall below 10% of SpaceX revenue

Elon Musk said government contracts will account for less than 10% of SpaceX revenue this quarter, down from 16.6% in the third quarter, The Next Web reports. Renting AI computing has become its largest revenue source.

AI Infrastructure
AI Infrastructure

Vercel adds DeepSeek search and page retrieval to AI Gateway

Vercel announced that DeepSeek Search and DeepSeek Fetch are available through AI Gateway for any model that supports tool calling. Developers can use one Gateway API key without creating a separate DeepSeek account and retain the tools when switching model providers.

Infrastructure AI
Infrastructure AI

AWS adds amortized cost reporting for reserved GPU capacity

AWS now spreads the upfront cost of EC2 Capacity Blocks for ML across each reservation's duration in Cost Explorer and its Cost and Usage Report 2.0. Customers can see costs assigned to instances that used the reservation and costs attributable to unused capacity.