Startup bets that investors want to trade compute like a commodity

Axios
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The short version

  • Why it matters: Investors increasingly want to trade compute like a commodity, betting it could make the historically expensive AI buildout more sustainable and efficient.
  • Catch up quick: Commodity markets let companies use futures contracts to lock in prices for volatile raw materials. Think airlines locking in jet fuel prices or manufacturers hedging metals…
  • Yes, but: Unlike oil, compute isn't a static commodity. Each new generation of Nvidia chips promises better price performance…
  • What they're saying: "We want to make financing AI way more seamless," Wayne Nelms, Ornn's chief technology officer told Axios. His co-founder and CEO, Kush Bavaria…
  • Zoom in: Lenders can use Ornn for benchmarking, while buyers and sellers of compute can use it to hedge. It's also helpful for price discovery: Ornn has already integrated with Bloomberg…

The story

Ornn, an Andreessen Horowitz-backed startup, raised a $33 million seed round to build a marketplace for trading the computing power that underpins today's AI boom, similar to what exists for oil traders.

Why it matters: Investors increasingly want to trade compute like a commodity, betting it could make the historically expensive AI buildout more sustainable and efficient.


Catch up quick: Commodity markets let companies use futures contracts to lock in prices for volatile raw materials.

  • Think airlines locking in jet fuel prices or manufacturers hedging metals prices, which helps them reduce the risk of price fluctuations.
  • But AI companies don't have an equivalent market for compute, a problem the 20-something founders of Ornn and a growing number of exchanges are trying to solve.
  • So far, AI companies have tried to lock up supply and prices through long-term pre-purchasing agreements.

Follow the money: Goldman Sachs estimates that between 2026 and 2031 roughly $7.6 trillion will be invested globally in building up compute, power and data centers.

  • But the financial infrastructure needed to sustain that level of spend "has not yet been built," the bank adds.
  • Companies like Ornn want to help build that infrastructure.

Yes, but: Unlike oil, compute isn't a static commodity.

  • Each new generation of Nvidia chips promises better price performance, which changes the value of older chips. Any benchmark has to chase a depreciating asset.
  • Compute also isn't a tangible good in the same way oil is: GPU capacity can't be stored, so unused compute disappears, making it harder to build standardized contracts and pricing around it.

What they're saying: "We want to make financing AI way more seamless," Wayne Nelms, Ornn's chief technology officer told Axios.

  • His co-founder and CEO, Kush Bavaria, sees this as part of America's potential advantage over China and added that the company does not work with Chinese AI labs.

Zoom in: Lenders can use Ornn for benchmarking, while buyers and sellers of compute can use it to hedge.

  • It's also helpful for price discovery: Ornn has already integrated with Bloomberg Terminal and other data providers, which lets traders check GPU prices through the tools they already use.
  • Ornn is able to operate under a de minimis exemption, while larger firms are still working through regulatory approval.
  • Pending regulatory approval, CME plans to launch compute futures tied to Silicon Data's benchmark, and the Intercontinental Exchange plans GPU compute futures tied to Ornn's pricing index.

The bottom line: Compute may never trade like oil, but with $7.6 trillion on the line, Wall Street is going to try anyway.

Read the full story at AxiosOriginal

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