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The big challenge for Generative AI is GPU capacity and server costs

VC Cafe

“The unanticipated demand to create AI software has outstripped the cloud service capacities of Amazon Web Services (AWS), Microsoft, Google Cloud, and Oracle” The Information The big challenge in generative AI is GPU shortage and costs. In comparison, Google spends about $100 billion a year on infrastructure costs.

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Disrupting Google

Start Up Blog

Likewise, when the Airline Industry had low cost airlines arrive. A new business model emerged, but because it was utilising existing technology: planes, airports and booking engines, legacy players could plug in low cost sub-brands. But is isn’t just the product which puts google at risk, it’s the costs and business model.

ChatGPT 90
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Artificial Intelligence and Machine Learning– Explained

Steve Blank

Engineers can input design goals into AI-driven generative design software , along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. Example here.