Computable GPU Index (CGI) is a USD price per GPU-hour, computed from the published on-demand rental rates of a fixed panel of providers. The methodology is mathematically robust, and anyone can verify and reproduce every print.
Hi Product Hunt, I'm Ray, cofounder of Computable.
What is the price of a GPU?
Nobody agrees. Every provider quotes a different number, and existing indexes are closed black boxes: a figure you are asked to trust without seeing the data, the method, or the code behind it. Despite being rented, resold, and financed at commodity scale, compute lacks the reference rate every mature commodity market has.
CGI is built to be that number, and to earn trust in the open rather than by authority. It is open data, open method, open code.
How it works: every 15 minutes we collect published on-demand rental rates from 28 providers. Each panel provider casts weighted votes at its price, and the index is an interquantile mean over those votes, not an average: only the central third of the vote mass is averaged. No small group of providers can drag the number from the tails.
The weights are systematically scored. Liveness weights measure whether a provider contributes new information to the price: a leave-one-out ridge regression scores whether each provider's recent moves anticipated the rest of the panel, and the weights recompute every observation. Every weight is floored and capped, and no weight requires a per-provider human decision.
The design rests on five properties: verifiable, reproducible, fault-tolerant, outlier-resistant, transparent. The data is verifiable, the method is transparent, the prints are reproducible via code, and the result is a robust price surviving data sources that disagree, err, or break.
Live today: H100, H200, B200, B300. The collector and the calculation are open source. Clone the repo and recompute any print since inception; you'll get the same number we published.
If you trade, rent, or finance compute, I'd love to hear what you want from a reference rate.
About Computable GPU Index (CGI) on Product Hunt
“The first open-source price index for GPU compute”
Computable GPU Index (CGI) launched on Product Hunt on September 1st, 2026 and earned 383 upvotes and 78 comments, earning #2 Product of the Day. Computable GPU Index (CGI) is a USD price per GPU-hour, computed from the published on-demand rental rates of a fixed panel of providers. The methodology is mathematically robust, and anyone can verify and reproduce every print.
On the analytics side, Computable GPU Index (CGI) competes within Open Source, Fintech and Money — topics that collectively have 120.8k followers on Product Hunt. The dashboard above tracks how Computable GPU Index (CGI) performed against the three products that launched closest to it on the same day.
Who hunted Computable GPU Index (CGI)?
Computable GPU Index (CGI) was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Computable GPU Index (CGI) including community comment highlights and product details, visit the product overview.
Garry Tan
Hi Product Hunt, I'm Ray, cofounder of Computable.
What is the price of a GPU?
Nobody agrees. Every provider quotes a different number, and existing indexes are closed black boxes: a figure you are asked to trust without seeing the data, the method, or the code behind it. Despite being rented, resold, and financed at commodity scale, compute lacks the reference rate every mature commodity market has.
CGI is built to be that number, and to earn trust in the open rather than by authority. It is open data, open method, open code.
How it works: every 15 minutes we collect published on-demand rental rates from 28 providers. Each panel provider casts weighted votes at its price, and the index is an interquantile mean over those votes, not an average: only the central third of the vote mass is averaged. No small group of providers can drag the number from the tails.
The weights are systematically scored. Liveness weights measure whether a provider contributes new information to the price: a leave-one-out ridge regression scores whether each provider's recent moves anticipated the rest of the panel, and the weights recompute every observation. Every weight is floored and capped, and no weight requires a per-provider human decision.
The design rests on five properties: verifiable, reproducible, fault-tolerant, outlier-resistant, transparent. The data is verifiable, the method is transparent, the prints are reproducible via code, and the result is a robust price surviving data sources that disagree, err, or break.
Live today: H100, H200, B200, B300. The collector and the calculation are open source. Clone the repo and recompute any print since inception; you'll get the same number we published.
If you trade, rent, or finance compute, I'd love to hear what you want from a reference rate.