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Microsoft and OpenAI will create a data center worth $100 billion


Microsoft and OpenAI are planning to createData centerworth at least $100 billion. This is reported by The Information, citing sources close to the management of the companies.

Along with improving algorithms, hardware, in particular specialized chips, plays a key role in the development of the AI ​​industry . The rapid implementation of generative neural networks has led to a rapid increase in demand for specialized data centers.

The project includes the creation of the Stargate supercomputer. Its launch is scheduled for 2028-2030. It will be the largest in a series that the companies plan to build over the next six years.

The development is in the middle of the third phase of five. A significant portion of the costs for the next two stages is associated with the acquisition of the necessary AI chips.

According to the publication, the new project will be designed to work with processors from different suppliers.

The fourth phase, scheduled for 2026, includes the creation of a supercomputer for OpenAI. The fifth involves the construction of the largest supercomputer on the market, Stargate, with millions of AI chips. It is planned to be completed by the end of the decade.

“We are always thinking about the next generation of infrastructure innovations needed to expand the capabilities of neural networks,” a Microsoft spokesperson told Reuters.

The Information suggests spending could exceed $115 billion, triple Microsoft's spending on servers, buildings and other equipment in 2023.

In April of the same year, the publication reported on the company’s work on its own AI chips for training large language models.

Let us recall that in February 2024, OpenAI discussed raising $7 trillion to develop the production of AI chips, according to the WSJ.

The integration of Artificial Intelligence (AI) into business operations marks a transformative era, enhancing efficiency and innovation across industries. From revolutionizing HR with automated recruitment to aiding early disease detection in healthcare, AI's impact is profound. It enables predictive cybersecurity, personalized customer interactions, and accelerated software development in IT. 

Lots of news from technology vendors and modern cases on how to use data analytics for operations excellence – this is what March brought us this year.

In this issue we looked at the drivers and bright trends in retail. AI will undoubtedly be the leader among technologies for several years ahead in retail, and in the economy in general. Its emergence in wide access has opened up incredible opportunities for improving business efficiency.

“Before the automation introduction, the process was complicated by the fact that the address system was stationary, not dynamic. We could not automate serial and batch accounting of products. It was not possible to automate the warehouse replenishment processes, both planned and on order. The accounting system did not reflect all goods movements,” says Alexander Permyakov, head of the warehouse complex.

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