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The Startups Solving Altman’s Law Of Melting AI Chips [Forbes]
Last nvidia corporation earnings: 2/13 04:20 pm
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US:NASDAQ Investor Relations: investor.nvidia.com/home/default.aspx
OpenAI had to put temporarily on the feature's usage highlighted a key bottleneck in the mass adoption of AI: the infrastructure isn't ready. Let's call it “Altman's Law”: The cost of running the AI infrastructure is proportional to the square of the number of connected users. How do you fight the burden of Altman's Law? To serve the rapidly growing number of users employing the ever-evolving AI models, the AI infrastructure must be constantly upgraded, not only with new GPU versions but also with new tools increasing the efficiency and resilience of the chips at its core. Several startups and established companies are “hiding in Nvidia's [nearly $4 trillion] shadow,” to use the Wall Street Journal' s apt phrase. They pursue innovative approaches to optimize the performance, power, and reliability of AI chips, making sure they stay cool, efficient, fast, and responsive. “They're not really melting, but with so many chips running together, they're getting very hot, possibly corru
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