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OpenAI CEO Sam Altman is still chasing billions to build AI chips
ChatGPT needs chips.
A major cost and limitation for running AI models is having enough chips to handle the computations behind bots like ChatGPT or DALL-E that answer prompts and generate images. Nvidia’s value rose above $1 trillion for the first time last year, partly due to a virtual monopoly it has as GPT-4, Gemini, Llama 2, and other models depend heavily on its popular H100 GPUs. Nvidia has already announced its next-generation GH200 Grace Hopper chips to extend its dominance in the space, while competitors AMD, Qualcomm, and Intel have launched processors designed to power AI models running on laptops, phones, and other devices.
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