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.
Congrats for your launch! I'm really interested in your CGI! Also, I have a tiny question: Could CGI eventually help teams compare the cost of training across GPU generations?
@brattyaiguy Thank you! And yes, that's a big part of exactly what CGI is for. It gives you the price leg: a comparable $/GPU-hour for each generation. they are under one methodology, so the prices are apples to apples by construction.
however, you will still have evaluate the performance. We deliberately don't bake performance assumptions into the index itself, since every workload scales differently, but pairing your benchmarks with a clean price series from our index is a great way to make comparisons.
@kisekiya to be clear, we are using a interquantile mean which is the weighted mean of the central third of the voting mass. the reason why this is better than a simple average is it makes the index resistant to outliers.
Computable GPU Index (CGI)
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.
Memmy Agent
Congrats for your launch! I'm really interested in your CGI! Also, I have a tiny question: Could CGI eventually help teams compare the cost of training across GPU generations?
Computable GPU Index (CGI)
@brattyaiguy Thank you! And yes, that's a big part of exactly what CGI is for. It gives you the price leg: a comparable $/GPU-hour for each generation. they are under one methodology, so the prices are apples to apples by construction.
however, you will still have evaluate the performance. We deliberately don't bake performance assumptions into the index itself, since every workload scales differently, but pairing your benchmarks with a clean price series from our index is a great way to make comparisons.
Acti
Would you consider showing a source-coverage indicator alongside each index value?
Computable GPU Index (CGI)
@axelkane hey it's already there. you can see it on the bottom left of the dashboard.
Acti
How frequently are provider prices collected?
Computable GPU Index (CGI)
@mati_lee every 15 minutes
Acti
Can contributors reproduce the published values on a standard laptop?
Computable GPU Index (CGI)
@inith271 yes! the arithmetics are light plus some small regressions.
Acti
Why use a weighted median instead of a simple average?
Computable GPU Index (CGI)
@kisekiya to be clear, we are using a interquantile mean which is the weighted mean of the central third of the voting mass. the reason why this is better than a simple average is it makes the index resistant to outliers.
PodcastorAI
Publishing the methodology makes the index easier to trust.
Computable GPU Index (CGI)
@sylvialane exactly!