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description: Starting 5 October, CME Group will list two cash-settled futures contracts tied to the hourly rental price of Nvidia H100 and Blackwell B200 GPUs, pending...
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# AI compute becomes a tradable commodity on 5 October. The price goes public

**[The Next Web](https://daily.dev/sources/tnw)** · 7 min read · 0 upvotes · 0 comments

## Summary

Starting 5 October, CME Group will list two cash-settled futures contracts tied to the hourly rental price of Nvidia H100 and Blackwell B200 GPUs, pending regulatory review. The contracts settle against indexes from Silicon Data, a benchmarking startup that just raised $30.5m and counts CME, several trading firms, and other likely market participants among its investors. The goal is to give AI compute a public reference price and forward curve, letting data centre operators hedge rental income and AI developers cap costs, similar to how oil and corn futures work. Concerns raised include benchmark independence given overlapping investors, and the market's current lack of liquidity.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/cme-silicon-data-gpu-compute-futures-october-5>

## Questions this post answers

### When does CME start trading futures on Nvidia GPU rental prices?

CME Group plans to launch two futures contracts on 5 October, pending regulatory review. One tracks the hourly rental price of Nvidia H100 chips and the other tracks the Blackwell B200. Each contract represents one month's rent for a single GPU, cash-settled against indexes published by Silicon Data, and the contracts will be listed on NYMEX, CME's energy exchange.

_Teams weighing GPU rental exposure can track how compute pricing coverage develops on daily.dev._

### What index will Nvidia GPU compute futures be settled against?

The futures are cash-settled against indexes published by Silicon Data, a New York benchmarking firm that has tracked GPU rental prices for two years. Silicon Data raised $30.5m in a Series A round led by the Valor Atreides AI Fund to fund the pricing benchmarks, an institutional data business, derivatives risk infrastructure, and a performance-normalization product called SiliconMark.

_Developers evaluating GPU cost benchmarks can follow how compute pricing indexes evolve via daily.dev._

### Why might Nvidia GPU compute futures be hard to trust as a price benchmark?

Independence is a concern because CME Group itself invested in Silicon Data, the firm whose index the futures settle against, and several likely market participants including DRW, Jump, Wintermute, Tectonic, VanEck, and Samsung also hold equity in it. Liquidity is another risk since the market has to bootstrap from nothing, and low participation can make the price easy to move and hard to trust.

_Anyone deciding whether to rely on a new pricing benchmark can weigh these tradeoffs via daily.dev._

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---

Tags: [#nvidia](https://daily.dev/tags/nvidia), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure)

[View this post on daily.dev](https://daily.dev/posts/ai-compute-becomes-a-tradable-commodity-on-5-october-the-price-goes-public-vzprsfwku)

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