In just over a month, NVIDIA Corp (NASDAQ:NVDA) committed more than $36 billion to AI partners and suppliers — roughly equivalent to the entire annual economic output of Iceland (~$33.5 billion).

• NVIDIA shares are under pressure. Why is NVDA stock trading lower?

The scale alone is staggering. But the speed is what stands out.

Within weeks, CEO Jensen Huang backed AI startups, data center builders and critical hardware suppliers across the industry. The burst of deals suggests Nvidia may be doing more than riding the AI boom — it may be trying to lock down the architecture of the next generation of AI infrastructure.

Nvidia’s $36 Billion AI Blitz

The latest move came this week when Nvidia revealed a $2 billion investment in European AI data center developer Nebius Group NV (NASDAQ:NBIS).

Earlier in March, the chip giant also committed $2 billion each to optical networking suppliers Coherent Corp. (NYSE:COHR) and Lumentum Holdings Inc. (NASDAQ:LITE), companies that build lasers and advanced components used in AI data-center networks.

Nvidia also partnered with Thinking Machines Lab, with the deal including a significant investment.

The biggest move came at the end of February: a $30 billion commitment to OpenAI.

Altogether, Nvidia has publicly committed over $36 billion in new investments since its fiscal 2027 began, according to reporting from The Information.

Funding The AI Supply Chain

What stands out is where the money is going.

Some of Nvidia’s investments target customers building massive AI clusters. Others back suppliers developing the optical and networking technologies required to connect thousands of GPUs.

The pattern suggests Nvidia is doing something unusual for a semiconductor company: using its balance sheet to shape the entire AI data-center ecosystem around its chips.

With analysts estimating the company could generate about $180 billion in free cash flow in fiscal 2027, Nvidia clearly has the financial muscle.

And if the recent spending spree is any indication, Huang appears ready to deploy it — fast.

Photo: Shutterstock