An unusual request to Nvidia: Make slower artificial intelligence!
Famous tech companies have knocked on Nvidia’s door with an interesting request. The companies are asking Nvidia for slower artificial intelligence models.
Nvidia, one of the world’s largest hardware manufacturers and far ahead of its competitors in the field of artificial intelligence, appears to be on the verge of becoming a victim of its own success these days. Nvidia’s corporate customers have started knocking on the company’s door with a peculiar request for slower artificial intelligence models.
In recent years, Nvidia has stood out as the company developing the most advanced, fastest, and most innovative AI models. However, it now seems that Nvidia may face negative consequences for this success. Corporate clients of Nvidia are requesting the development of slower AI models. Behind this initially perplexing demand lie quite sensible reasons for businesses.
Why are companies requesting slower AI models from Nvidia?
Even though it has started to become expensive even for end-users, working with AI models has become increasingly burdensome for large companies. Considering both the licensing process and operational costs, companies are taking on a significant burden.
Companies that are already aiming to minimize expenses are not eager for Nvidia to introduce higher quality (and consequently more expensive) models with each passing day. While larger AI models may offer greater efficiency, especially small and medium-sized enterprises prefer formulas that require less processing power and energy.
Another reason is that larger AI models also bring complexity. Companies find it easier to work with smaller models that consume fewer resources and less energy, and they are reluctant to pay unnecessarily for more advanced models.
What will the famous tech giant do now?
At this stage, it remains to be seen how Nvidia will adapt to changing trends and demands. The company is expected to work on AI models that can keep up with the trends while also developing cost-effective GPU models. Information suggests that the company is not closed off to offering cloud-based AI services.
In the coming period, Nvidia may find itself tasked with combining its success in AI models with an economical solution.
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