Apple does not want to be late for productive artificial intelligence. Siri’s limited artificial intelligence capacity and rapidly progressing technological breakthroughs of its competitors direct the company to more aggressive investments. Now on the agenda, Apple’s Nvidia servers to prepare for $ 1 billion. At the center of this investment is Nvidia’s advanced GB300 NVL72 systems.
According to the investor reports, Apple will buy approximately 250 highly equipped server systems. The price of each server varies between 3.7 and 4 million dollars. This move is thought to be part of Apple’s efforts to establish a large -scale infrastructure for productive artificial intelligence applications. How the company will integrate these servers with their own systems remains uncertain for now.
Apple works with Dell and Supermicro while installing the server infrastructure
According to Ananda Baruah’s evaluations, Apple is not alone in this process. Dell Technologies and Super Micro Computer, such as hardware manufacturers, are among the companies where Apple works together in this server investment. The capacity of these two companies to produce optimized servers for large language model clusters (LLM) stands out as one of Apple’s choice. In other words, Apple is trying to create a solid ground not only on the software side but also in terms of hardware architecture.
Apple has been developing its own artificial intelligence chips for a long time. However, it is understood that these studies do not progress as fast as expected. Therefore, the decision of turning to outsourcing seems to be a strategic solution, not temporary. It is stated that the company will use these servers not only for trial, but for serious projects.
Nvidia’s GB300 NVL72 servers are specially designed to train and run large -scale language models. These systems stand out not only with processing power, but also with data transfer capacity. Especially the ability to cope with the large data clusters needed in productive artificial intelligence makes these servers attractive. Apple’s preference may have been effective as well as performance.
Besides, Apple was a silent player in the artificial intelligence race to date. Their competitors Microsoft and Google have already installed comprehensive infrastructures and began to integrate productive artificial intelligence into their products. Apple was mostly following a hardware -oriented strategy. However, the popularity of vehicles like Chatgpt seems to have changed the balance.
In addition to all these, Apple’s investment can be the infrastructure of announcements in developer events such as WWDC. Innovations may be on the agenda such as Siri’s smarter and integration of productive artificial intelligence capabilities more powerful to iOS systems. It is known that the company also works on cloud -based solutions as well as artificial intelligence calculations. Nvidia servers can play an important role at this point.
Apple’s recognition of its own hardware and software architecture makes the outsourcing server preference even more remarkable. But the company’s choice seems to be not a short -term solution. This large -scale cooperation with Nvidia shows how comprehensive Apple’s artificial intelligence goals are in the coming years. This reveals that competition deepens not only in the software but also in the hardware infrastructure.