The major increase in the shares of “Invidia”, which made it in one of the periods of the world’s most valuable company. Investors became more careful to pump more money into the chips manufacturer, especially after it became clear that the computer based on artificial intelligence would not be easy, nor would it depend on the technology of “invitations”. So far, Invidia is still the most important seller of the basic instruments amid race fever versus artificial intelligence. The company achieves a tremendous growth in turnover, and the request book of the Hopper chain, along with the successor to Blackweell, is strongly demanding. The continuation of the success of “Invidia” The ongoing success of “Invidia” depends on whether huge technology companies such as “Microsoft” and “Google” can find sufficient commercial applications for artificial intelligence that enable them to achieve returns to their large investments in “Invidia” chips. Even if these businesses succeed, it is not clear the number of the most powerful and most profitable chips the business will actually need. Last January, the Chinese boot (Deepseek) launched an artificial intelligence model that he believes is a similar achievement to the models developed by major US businesses, but it takes much lower resources to develop it. After ‘Deep Cick’ published a research article setting out the capabilities of the new model and its development mechanism, the market value of ‘Inviteia’ fell by $ 589 billion in one day, which is the largest decline in stock market history. Although the arrow recovered during the following weeks, by the end of February, it was still less than its level at the beginning of the year. Below we look at the most prominent factors that have caused the incredible growth of “invidia” and the challenges it faces in the future. What are the most famous artificial intelligence chips for “Invidia”? The biggest winner is Hopper H100, whose name bears an honor for the pioneer of computer science “Grace Hopper”. These types of chips are a more powerful version of graphic processing units that originated in personal computers for video games. ‘Blackwell’ now replaces the ‘Black’ series, named after mathematician David Blackwell. Hopper and Blackwell contain techniques that transform computers groups that use invidia chips into built -in units that can process large amounts of data very quickly. This makes it ideal for the dense computer tasks required by the training of nerve networks, which form the basis for the latest products of artificial intelligence. Invidia was founded in 1993, she was a pioneer in this field by investing from more than a decade, when she bets that the ability to execute parallel will be valuable in applications that exceed future video games. The company, its headquarters in Santa Clara, California, intends to launch ‘Blackwell’ with several options, including the integration into a high -sized chips “GB200”, which combines the two Blackwell drawings and ‘Grace’s Central Processing’ unit in general, which also bears its name. Why are artificial intelligence chips of “Invidia”? Trucifier -intelligence platforms depend on learning by absorbing large amounts of preceding material as their performance improves when exposed to more data. These models are developed through repeated efforts, to billions of experiments, to achieve a high level of control, which requires a tremendous computer ability. According to “Inviteia”, “Blackwell” chips offer a 2.5 -time “black” performance in training of artificial intelligence models. The new discs contain a large number of transistors – the exact keys that semiconductors give their ability to process information – to the point that it cannot be manufactured as one unit using traditional methods. Instead, it consists of two chips linked to a technology that guarantees their work as one integrated unit. For businesses that have time for time to train artificial intelligence models to perform new tasks, the superiority offered by the ‘Huber’ and Blackwell Chips is a crucial factor. These components are so essential in the development of artificial intelligence that the US government imposed restrictions on the sale of it to China. How did ‘Invidia’ become a pioneer in artificial intelligence? Invidia was already the queen of the production of graphic chips, the ingredients that produce the images on computer screens. The most powerful of these chips contain thousands of computer nuclei, which can perform several tasks at one time, allowing them to produce complicated visual effects, such as shadows and consequences that characterize modern video games. In the early first decade of the first and twenty -century, ‘Inviteia’ engineers realized that they could set these graphic processors for other applications. At the same time, artificial intelligence researchers have discovered that their techniques apply thanks to these types of chips. What do the competitors do ‘Invidia’? According to the IDC research business, invitations currently control about 90% of the graphic processing units for data centers. The most important cloud computing companies, such as Amazon Web Services, are looking for Amazon Web Services, and ‘Google Cloud’ from Alphabet, and ‘Microsoft’, ‘Microsoft’, to develop its own chips, along with the ‘Entepia’ competitors like ‘Advanz Micro Device and Intel. So far, these efforts have failed to influence the dominance of a majority. of “Invidia”, but it announced last year that its sales will remain during the first half of the year compared to the Hight Half, with an expected improvement in the second half of 2025 when the new chips abandon the problems with the reach of the annual income. The rate that no other competitor could keep up with, including the development of software that supports its devices. The company has also created group systems that combine a network of computers that enable its customers to buy ‘H1’ units in large quantities and spread quickly. On the other hand, Xeon’s “Intel” chips have the ability to process complicated data, but it contains less core and works at a slower pace in dealing with the massive amounts of data used to train artificial intelligence models. Although “Intel” is the previously dominant business on the components of data centers, it has not yet managed to provide performance acceleration units that persuade customers to abandon the “Envenia” devices. How is the question of artificial intelligence chips? Jin Sun Huang, CEO of “Invidia”, and his team has repeatedly confirmed that the company has requests that exceed its productive ability, even on the oldest models. When we announced its financial results next Wednesday, investors will await a new confirmation at this point. Companies such as “Microsoft”, “Amazon”, “Meta” and “Google” have announced plans to spend hundreds of billions of dollars on artificial intelligence and its supportive data centers. But recently, speculation has arisen that the revival of artificial intelligence centers may have begun to lose its momentum. Microsoft has canceled some data centers in the United States of America, according to TD Cowen for investment banking, which raises wider concerns about whether the company is gaining a greater computer capacity than it needs in the long run. Why did “Deep Seck” cause a lot of anxiety? The excitement of the Chinese company, “Deep Sick”, came as a result of the launch of the new artificial intelligence model (R1) (R1), who asked competitors to search how to achieve results comparable to the models of leading US businesses with only a small part of its resources. Deep Seck relied on an approach focusing on improving the model through real input, a technology known as inference, which requires less time and data compared to the artificial training methods followed by other businesses. Invidia, the most affected by this development, described the ‘Deep Seck’ model as “a great progress in the field of artificial intelligence”, and confirmed that its performance was not the result of the construction of the execution of US technology. These restrictions prevent the export of the most advanced graphic processing units DIA “to China, who have urged some analysts in the sector to question the possibility of” Deep Seck “to achieve this technological performance independently. Artificial intelligence models, which require high performance. However, the qualitative leap that the company says that ‘Blackwell’ chips will provide it. The company has developed the Cuda language, allowing its units programming to process graphics to operate the basic applications of artificial intelligence. The widespread distribution of this tool has strengthened the sector’s association with the “Entepia” devices.
Why “Invidia”, the Queen of Artificial Intelligence Skies, and does it continue to perform?
