Nvidia-backed AI company reveals staggering $103 billion number

Artificial intelligence companies are racing to secure one increasingly valuable resource: computing power.

That race has resulted in massive investment in Nvidia (NVDA) processors, data centers, and power. It has also spawned a new breed of specialist cloud providers promising to provide the infrastructure necessary to train and operate ever more advanced AI models.

Now firms are putting a stunning amount behind that demand.

U.K.-based AI infrastructure firm Nscale is telling potential investors that it has about $103 billion in total contracted revenue , according to documents reviewed by The Information and cited by Reuters . The Nvidia-backed startup might launch an initial public offering as early as September.

However, the headline figure comes with a crucial caveat.

Nscale's contracts are around 5.7 years on average, which implies about $18 billion in yearly contract income. One person involved with the negotiations emphasized that the numbers were "illustrative" and not meant as official revenue projections.

That difference might matter if Nscale looks to public markets to value one of the rising infrastructure providers of the AI boom.

Nscale's $103 billion figure shows the scale of AI demand

Nscale said it had $103 billion in committed revenue that it will earn over the next few years, not income the business has already booked.

The size is more obvious if you look at one big consumer.

Anthropic will pay $45 billion to lease AI cloud-computing capacity from Nscale's data center in West Virginia, Reuters reported in late August .

As part of that partnership, Nscale will use Nvidia's new Vera Rubin processors to meet the processing needs of Anthropic.

The disclosed Anthropic commitment alone accounts for almost 44% of the $103 billion in contractual income stated for Nscale, based on the two figures provided by Reuters.

That comparison doesn't necessarily mean Anthropic accounts for exactly 44% of the contracts in Nscale's investment documents, because the actual makeup and timeframe are not fully detailed.

But it shows how fast AI infrastructure contracts are getting into the tens of billions of dollars.

For Nscale, long-term deals may provide something very significant ahead of a prospective IPO: proof that big AI clients are ready to commit billions of dollars to processing power years in advance.

They also provide an execution challenge.

Nscale still needs to install the processors, networking, power, and data-center capacity to deliver on those contracts.