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KitGuruTech on MSNLeo Says Ep 66: Intel’s 5 Nodes in 4 yearsBeen some time since Leo did a 'Leo Says' - but he put together this article discussing Intel Nodes and details on what has ...
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Hosted on MSNFormer Intel CEO Dismisses Nvidia Sell-Off, Says DeepSeek’s AI Growth Proves Shows AI Innovation. Nvidia Rebounds 9%Nvidia shares rebounded 9% on Tuesday after plummeting 16% on Monday amid concerns over Chinese AI startup DeepSeek’s low-cost AI models. The sell-off erased nearly $600 billion in Nvidia’s market ...
Former Intel CEO Pat Gelsinger praised R1 for its innovative potential and emphasized the importance of affordability, resourcefulness, and openness in computing history. Gelsinger’s current ...
Former Intel CEO Pat Gelsinger revealed he has invested in British AI chip startup Fractile. “With the advent of reasoning models, which require memory-bound generation of thousands of output tokens, ...
Now, with the recent ousting of CEO Pat Gelsinger in December, concerns about the company's ability to survive have intensified. "I am stunned that Intel basically lost its way," Gates told the ...
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Pat Gelsinger, for instance, took to X with glee, posting, “Thank you DeepSeek team.” Wisdom is learning the lessons we thought we already knew. DeepSeek reminds us of three important ...
Ex-Intel CEO Pat Gelsinger on lessons from computing history, courtesy DeepSeek. Pat Gelsinger, former Intel CEO, has reacted to DeepSeek AI's meteoric rise, highlighting three key lessons from ...
TL;DR: Former Intel CEO Pat Gelsinger praises China's AI innovation, DeepSeek, and buys NVIDIA stock after its value drop. He highlights lessons from computing history, emphasizing market ...
Based on claims that Chinese firm DeepSeek created a huge language model at a far cheaper cost than American rivals using older Nvidia technology, Gelsinger's choice makes sense. The revelation ...
However, not everyone shares this pessimistic outlook. Former Intel CEO Pat Gelsinger offers a different perspective on the situation, arguing that the demand for high-performance computing in AI ...
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