With the release of ChatGPT last year, the OpenAI research group started the artificial ielligence race among the technology gias, and today, from large companies such as Microsoft, Google, Amazon, and Facebook to small businesses, they are trying to be at the forefro of this competition. The winning card of this competition are specialized chips that play an importa and ceral role in training and launching artificial ielligence models. Currely, a major part of the market for these chips is in the hands of the chip maker Nvidia, and the complete dominance of this group in the application processors in the field of artificial ielligence forces customers to put up with the astronomical prices of these chips. Now it seems that Nvidia’s monopoly will not last long; Because companies like OpenAI are trying to limit their reliance on expensive processors from other companies by making proprietary chips.
After the unexpected success of ChatGPT, the OpenAI research ceer started a close cooperation with Microsoft and took advaage of the high processing power of this company to develop its products and provide services to more than 100 million users. According to a news report, the CEO of OpenAI, Sam Altman, is making preparations to build chips that are specifically used in the process of developing artificial ielligence models. Also in rece days, several Microsoft insiders have reported that the Redmond, Washington-based tech gia has begun developing its own dedicated GPUs, which are expected to be unveiled at Microsoft’s annual developer conference.
Sam Altman is no stranger to challenges in the field of artificial ielligence and has previously spoken about the shortage of graphics processing units (GPUs). He considered the skyrocketing cost of processors, along with the lack of supply, as two major problems that disrupt the developme process of artificial ielligence. According to Altman, if the users of ChatGPT reach one-teh of Google, OpenAI will need 48 billion dollars in capital to provide graphics processors and will have to spend an amou equivale to 16 billion dollars annually to equip and maiain these servers. The creation of artificial ielligence chips by OpenAI will not only save several billion dollars in operating costs for the group, but also by bringing these processors to the market, an extraordinary revenue stream will be formed for the group managed by Altman.
Microsoft, and OpenAI in particular, are not the first companies to think of developing their own processors. Meta, Google and Amazon have already started making artificial ielligence chips; But despite many efforts, they have not achieved significa success uil today. For example, Meta, which had long ago started the process of researching and building its own processor, accepted failure and stopped the developme process of its chips; However, the company is currely working on a newer and more comprehensive model of AI chips.
The developme of artificial ielligence processors by Microsoft, and especially OpenAI, if officially started, is a time-consuming process, and these new processors cannot be expected to be put io operation in the short term. However, the moveme of these collections towards self-sufficiency in the field of artificial ielligence chips can have wide consequences; Because it can be expected that the first company that can achieve self-sufficiency in the field of providing the necessary hardware for the developme of artificial ielligence, will definitely steal the competition from its other competitors.
What do you think about this? Can the ery of OpenAI io the field of chipmaking challenge Nvidia’s dominance of the market and become a serious competitor for this series, or will the fate of unfinished Meta processors await this company? Share your thoughts with us.
