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.
Really interesting direction. What do you see as the first real use case for CGI — cloud procurement, compute financing, or eventually something closer to a tradable benchmark?
@tizaolai886 eventually it will be a bit of everything you mentioned. the first use case is now cash settled derivatives, basically hedges on gpu prices, using CGI as a reference rate.
Using a weighted median instead of a simple average seems like an important design choice. I’d be interested to understand how the weights are calculated and how you prevent one large provider—or several unusually low listings—from having too much influence on the final number.
@matthewwei so, we actually are using a interquantile mean instead of median. this means, any outlier would not have an impact on the price. the weights take in consideration of how lively a data source is. you can read more about it in our methodology!
Acti
I like that the methodology is available instead of hidden behind a black box.
Computable GPU Index (CGI)
@william_wang24 that's the goal! glad you liked it
Clipto
Really interesting direction. What do you see as the first real use case for CGI — cloud procurement, compute financing, or eventually something closer to a tradable benchmark?
Computable GPU Index (CGI)
@tizaolai886 eventually it will be a bit of everything you mentioned. the first use case is now cash settled derivatives, basically hedges on gpu prices, using CGI as a reference rate.
Clipto
Using a weighted median instead of a simple average seems like an important design choice. I’d be interested to understand how the weights are calculated and how you prevent one large provider—or several unusually low listings—from having too much influence on the final number.
Computable GPU Index (CGI)
@matthewwei so, we actually are using a interquantile mean instead of median. this means, any outlier would not have an impact on the price. the weights take in consideration of how lively a data source is. you can read more about it in our methodology!