Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner.
We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for opensource models into builders' hands.
Hardware goes live Q1 2027.
Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership.
LFG!
Separately, revenue reporting in this whole industry is very insincere, and we should do away with revenue multiples and replace them with gross profit multiples
Valuing a data business' annualized GMV with a 25% take rate or an inference co's annualized revenue with 20% gross margins in the same way you would 80% software margin ARR is just full cope
VC investors have enabled the AI industry to bastardize revenue reporting.
In the 2010s, SaaS companies popularized reporting the metric of Annual Run Rate because it was a reliable measure of long term, contractual revenues into the future. The key is that the revenues are contracted and guaranteed thru the contract life hence why forecasting it forward is appropriate.
VCs have taken this to mean Annualized Run Rate when AI is concerned and where you take transactional/API revenue from the last month (or even last week in some cases) and forecast it forward.
It’s insane that investors have enabled this to happen but it’s happened.
Separately, revenue reporting in this whole industry is very insincere, and we should do away with revenue multiples and replace them with gross profit multiples
Valuing a data business' annualized GMV with a 25% take rate or an inference co's annualized revenue with 20% gross margins in the same way you would 80% software margin ARR is just full cope
@nikhilvnamburi One is a land owner, the other is a renter. Sometimes you’re underwater on your mortgage, or rates change. The ones who traverse this correctly will own the keys to the compute kingdom, and that seems cool to me