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Nvidia might make artificial intelligence models slower!

Ana sayfa / News

Renowned hardware manufacturer and far ahead of its competitors in the field of artificial intelligence, Nvidia is finding itself potentially victimized by its own success these days. Nvidia’s corporate clients are knocking on the company’s door, requesting slower artificial intelligence models.

In recent years, Nvidia has stood out for developing the most advanced, fastest, and most innovative AI models. However, it seems that Nvidia may now face negative repercussions for this success. Corporate clients are approaching Nvidia to produce slower AI models. Despite initially seeming nonsensical, there are logical reasons behind this request for companies.

Even though AI models have become increasingly expensive for end-users, working with AI models has also become more burdensome for large corporations. Considering both the licensing process and operational costs, companies are finding themselves under significant financial strain.

To minimize costs, companies are turning to models that require less processing power and energy. They do not want Nvidia to introduce more advanced (and hence more expensive) models each day. While larger AI models may be more efficient, small and medium-sized enterprises particularly prefer formulas that require less processing power and energy.

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Another reason is that larger AI models also bring complexity. Companies find it easier to work with smaller models that consume fewer resources and energy, and they do not want to unnecessarily pay for more advanced models.

At this stage, it remains to be seen how Nvidia will adapt to these changing trends and demands. The company is expected to work on AI models that can keep pace with these demands while also being cost-effective. There are indications that Nvidia may not be opposed to offering cloud-based AI services in the future.

In the new era, Nvidia faces the task of combining its success in AI models with an economically viable solution. What are your thoughts on this? How do you think Nvidia should proceed in developing AI models in the new era? Share your opinions with us.

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