Nvidia plans to invest up to USD $ 100 thousand in OpenAI to create AI data centers


By Canuto

Nvidia announced that it plans to invest up to USD $ 100,000,000 in Openai and signed a letter of intention to display systems with 10 capacity gigawatts, in a movement that seeks to boost massive data centers to train and execute AI models.
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  • Nvidia and Openai signed a letter of intent to display systems with 10 capacity gigawatts.
  • The announced investment amounts to up to USD $ 100,000,000 and could reduce OpenAi dependence compared to Microsoft.
  • It is not clear if the investment will be paid in chips, credits in the cloud, effective or other form, according to TechCrunch.

Nvidia on Monday announced a plan to invest up to USD $ 100,000,000 in OpenAI, TechCrunch reported on September 22, 2025.

The news comes with a letter of intention among companies to display systems with a total capacity of 10 gigawatts.

This computing volume is designed to create massive data centers for training and execution of artificial intelligence models.

Techcrunch indicated that the letter points to an infrastructure capable of boosting the next generation of AI factories.

The announcement occurs at a time of rapid expansion of demand by GPUS and high performance nodes.

Key Agreement Details

The letter of intention contemplates the deployment of NVIDIA systems that add 10 gigawatts of electrical capacity.

The company explained that this scale is sufficient to feed millions of homes, in comparative terms of consumption.

Openai and Nvidia described the relationship as a strategic association in computation and networks.

It was not specified if the investment will materialize in chips, credits in the cloud, effective or other payment scheme.

Techcrunch was the source that reported these details and cited official statements of the companies involved.

Relationship with Microsoft and other partners

The agreement could help OpenAI reduce its dependence on Microsoft, its highest inverter and cloud supplier.

In January, Microsoft announced changes that allow Openai to build additional infrastructure with other partners.

Since then, Openai has signed alliances with different actors in data centers, including the Stargate project.

Nvidia said his investment will complement Openai’s existing associations, among which he mentioned Microsoft, Oracle and Softbank.

The tactics suggests that OpenAI seeks to diversify computing sources and technological partners to climb their operations.

Technical and energy implications

Deploying 10 systems gigawatts requires data centers with an electrical and remarkable cooling infrastructure.

The operation requires not only high -performance GPUS, but also low latency networks and robust energy supply.

According to the announcement, the architecture will combine computation and networks to withstand training and execution on a large scale.

From the industry they warn of bottlenecks in energy, logistics and local permits when building facilities of that magnitude.

The presence of partners such as Oracle or Softbank could provide access to complementary locations, capital or services.

Impact on the industry and next steps

If the investment is specified, the movement would change the dynamics between chip and cloud suppliers.

For Microsoft, Openai diversification represents a change in the intensive computing suppliers ecosystem.

Nvidia seeks to position himself not only as a hardware supplier, but also as a strategic partner in infrastructure operations.

Financial and contractual details remain to be defined, such as the exact form of the contribution and the deployment calendar.

In the coming weeks, both companies are expected to clarify whether the investment will be in cash, chips, credits or other modality.

Regulatory and market consequences

Large -scale data centers usually face regulatory reviews and debates on environmental impact.

Governments and communities can impose efficiency and control requirements of energy consumption.

In the markets, the news already generates reactions between gpus manufacturers and cloud suppliers.

Analysts will follow closely how contracts are distributed and what suppliers participate in the supply chain.

The effective execution of the project will be key to determining whether the investment transforms the global AI infrastructure.

What to watch

Verify if companies publish binding agreements after the letter of intention.

Attention to communications that clarify the payment method and the display schedule of the 10 gigawatts.

Follow the statements of Microsoft, Oracle and Softbank on how they will integrate or complement these plans.

It is also important to monitor local permits and environmental impact studies linked to data centers.

Finally, observe the evolution of the GPUS market, the demand for cloud loans and the possible regulatory responses.


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