Palantir (PLTR.US), Nvidia (NVDA.US) and Midpoint Energy (CNP.US) collaborate to develop new AI software to speed up data center construction

The Zhitong Finance App learned that Palantir (PLTR.US), Nvidia (NVDA.US), and the US utility company Midpoint Energy (CNP.US) said on Thursday that they are developing a new software platform to speed up the construction of new artificial intelligence data centers. This new software system will be called “Chain Reaction” (Chain Reaction) and aims to help companies that are building AI data centers solve the challenges of approval, supply chain, and construction. Executives involved in the project said the software will use artificial intelligence tools to help its customers.

The “chain reaction” system will build on the results of the previous collaboration between Palantir and Nvidia (which was announced last month). At that time, artificial intelligence will be used to solve logistics problems for retailers such as Low.US (LOW.US) and other companies. The plan aims to solve the challenges of energy infrastructure construction through cooperation with energy producers, power distributors, data centers and infrastructure builders, and promote the rapid implementation of the infrastructure required for AI computing power centers.

But the scale of the effort was more ambitious, as participating executives said it was designed to take into account the supply chain and construction work of different types of companies. For example, Nvidia collaborates with chip manufacturing partners such as TSM.US. Midpoint Energy, on the other hand, is committed to obtaining permits and upgrading the power grid. All of these efforts must be carried out in concert on time for the data center project to move forward.

Justin Boitano, vice president of artificial intelligence products at Nvidia, said in an interview: “This is a very complex supply chain system. In building this large-scale rack infrastructure, every ecosystem partner around the world will be affected.”

Combined with artificial intelligence technology, it is mainly because it is good at processing data that is not always stored in an orderly enterprise software system. The executives said, for example, an email exchange between a company's purchasing department and a supplier may indicate a possible delay, and artificial intelligence can detect this delay and help develop a response plan.

Tristan Gruska, head of Palantir's energy infrastructure division, said in an interview: “Whether it's an energy company, data center developer, data center operator, grid operator, or power generation company, everyone's delays are superimposed on each other, and there are interdependencies everywhere.”