Business headlines from the Apex backend, organized by sectors and major public companies for faster market scanning.
A recent report says AMD’s planned/announced purchase of Taalas is intended to add specialized AI inference silicon, positioning the company to improve performance and energy efficiency as the market shifts from model training to running models at scale.
THE APEX TIMES
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The company is preparing to introduce its Maia 300 AI accelerator this fall and is reportedly working to secure more manufacturing capacity, a move aimed at reducing dependence on third-party high-end chips.
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The decision, reported on Monday, clears the way for large-scale claims targeting product design and engagement features across major social platforms, including Meta, Alphabet’s Google, and ByteDance’s TikTok.
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The chipmaker said it plans to raise $15 billion through a new underwritten public offering of common stock, a move that weighed on trading as investors assessed dilution and use of proceeds.
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A market round-up tied early trading pressure to energy price gains and renewed uncertainty around iPhone demand, even as an “AI play” helped some investors look past short-term tech jitters.
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Bank of America analysts said Nvidia is positioned to top expectations for fiscal second-quarter revenue and to offer guidance that supports the stock’s outlook, ahead of the company’s next earnings update.
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The company says it plans a large equity sale as it looks to sustain investment needs tied to its technology road map and rising demand for data-center and AI-related computing.
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In a long-form post, Meta CEO Mark Zuckerberg argued that open artificial intelligence models are important for progress and safety, while positioning Meta’s approach against closed, proprietary systems.
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A new report says Microsoft is preparing to step up output of its upcoming artificial-intelligence chips, underscoring how demand for accelerated computing is pushing the industry to expand supply.
