Having sold chips for most of his life, Jensen Huang has lately stepped into the role of a "matchmaker" in the AI industry. You heard it right —‑ a matchmaker who makes connections between parties.

According to CNBC reports, Jensen Huang has been busy in Northern Europe with a mission:connecting AI companies holding GPUs but lacking deployment venues with data‑center operators that have power and physical facilities available.

On one side stand customers who have purchased hardware yet have nowhere to install their cards. On the other are data‑center operators with land and power whose facilities sit under‑utilized. Both sides are familiar contacts of Jensen Huang. Nvidia knows exactly how many cards each client has bought and how much computing power they require. It also has unmatched insight into which plots can receive power supply and which industrial parks are ready for operation.

Virtually no other player could pull off such a deal.

On the surface, it seems absurd for a chip‑selling executive to work as a middleman. A little reflection, however, reveals how logical this move really is.

Because GPUs are not money‑printing machines you simply plug in after purchase.

No matter how expensive a GPU card is, it must be mounted inside servers, connected to power grids and cooling infrastructure, and housed inside data centers before it can become rent‑able compute capacity.Without data‑center facilities, even the priciest GPUs amount to little more than precious‑metal scrap.

The harsh reality is this:AI firms spend heavily to acquire GPU hardware, only to find insufficient power supply and server racks to bring them online.

Jensen Huang sees this predicament clearly. These are not merely his customers’ headaches —‑ they directly threaten Nvidia’s future order pipeline.

Therefore, he does more than make introductions; he personally provides backing guarantees.On August 17, Nvidia announced up to $105 billion in guarantees for OpenAI to lease the massive PORTS‑Pike hyperscale data‑center campus in Ohio.

Roles in this three‑party transaction are well‑defined: OpenAI covers leasing costs, developer SB Energy handles construction, and Nvidia provides the financial backstop. Should OpenAI fail to meet rent obligations, Nvidia steps in. Offering a hundred‑billion‑dollar guarantee goes far beyond selling hardware. Nvidia is effectively actingas the "general contractor" for the entire AI‑infrastructure market.

Jensen Huang laid out his thinking explicitly in a post on X. He coined the term LPS to describe the most critical missing pieces for data‑center development【Land, Power, Shell】. Land requires construction permits and convenient access to power grids and fiber‑optic networks. Power must deliver stable high‑capacity output on schedule. Data‑center shells demand complete cooling and networking systems. Without all three components in place, GPUs become worthless hardware.

One may ask: Why Northern Europe specifically? Because this region happens to possess every key resource required for building AI data centers.

Abundant hydro, wind and nuclear power is available across Norway and Finland. Cool year‑round climates drastically cut electricity expenses for facility cooling. Vast, affordable land parcels suit sprawling hyperscale campus builds. Real‑estate consultancy Savills directly commented that Northern Europe offers “one of the world’s most clear‑cut development conditions.”

AI‑cloud provider Nebius has already broken ground on a 310‑MW AI factory in Lappeenranta, Finland, with its first compute capacity scheduled to go online in 2027. Even Norway’s grid operator Statnett reflects mounting anxiety: pending data‑center projects seeking grid connections have accumulated roughly 4.4 GW of requested capacity, equivalent to the output of about four large nuclear‑power units.

Land and power exist, yet campuses ready for immediate power‑on and operation remain scarce commodities.

Do you imagine Jensen Huang acts as matchmaker merely for interpersonal favors? That would be naïve. Back in June, Nvidia’s CFO stated: AI companies do not want isolated GPU cards; they require fully operational end‑to‑end systems.

Firms such as OpenAI and Anthropic, for all their powerful models, cannot sign multi‑decade power‑supply contracts, nor can they build data centers on the scale achieved by Google or Musk.Compute capacity has become the real bottleneck for model‑building companies.

And Nvidia understands one truth perfectly: as long as model training continues, customers will keep buying GPUs. Securing data‑center capacity therefore amounts directly to securing chip orders. Control access to facilities, and successive generations of Nvidia GPUs keep flowing in.

Through these connections, customers, land, power supplies, plus orders stretching twenty years into the future, all become tied to Nvidia.Jensen Huang connects far more than just clients.GPUs represent the first half of the game; LPS is the second act he is targeting.

This is no simple match‑making service. He is building a railway where buyers will keep queuing for tickets indefinitely.

3DSTOR is a global IT component supplier that has been established for many years and has established long-term and stable cooperative relationships with top well-known brands such as Intel, AMD, Nvidia, Western Digital, and MSI. The main products include servers, motherboards, graphics cards, CPUs, hard drives, etc.We have long been focused on serving the global B2B market, providing a variety of AI/ML/HPC solutions, and can provide one-stop procurement services for IT hardware customers with different needs. We promise that our products are 100% brand new and original, and we will also conduct technical testing on the products before shipping.