I dunno, whether or not it is true, my first impression of your first question is "this is a phony question asked by somebody who is selling the answer."
Thanks for the response.
I genuinely was asking this is what we built, it makes sense to me but I am having hard time to find people who would see this in customers. Who should we try to talk in companies, whether people see the issue? For us the problem is obvious, data is there but may be people do not care about it currently or not aware. If so how would the other founders overcome these challenges?
May be I over described the problem? Or was the questions made you to think it was a phony question? Or the question is so obvious it is too simple to ask?
I think the biggest argument I've seen between sales people is "Do you sell something that will increase the customer's revenue or reduce their costs?"
For a well established business saving $1 in costs adds $1 to the bottom line whereas adding $1 in revenue also adds some cost of revenue so maybe it just ends 20 cents to the bottom line or something.
I think every business using AI is different but right now many users are in a "gold rush" phase where they don't have a rational economic model for the whole thing: they might be happy to have GPUs at all and not be worried that they have 30% utilization. Internal politics plays a big role, say my unit has a GPU cluster, I might be really possessive of it and resist sharing it with other units. For that matter I might get a big Mac Studio for my desk because then I can run any model I want that fits on it and never have to have a talk with anyone about model licenses and data privacy and token costs, none of that. From that point of view I could care less about utilization fraction and the one thing I care about is having my head.
I guess there is somebody who can say GPU compute is part of their cost of revenue and increasing the utilization fraction has a clear impact on the bottom line. That somebody probably knows a lot about cost optimization already (or thinks they know!) and might think you are bringing a tic-tac-toe master to a chess tournament! Might still be the kind of person you want to talk to just to talk to.
I dunno, whether or not it is true, my first impression of your first question is "this is a phony question asked by somebody who is selling the answer."
Thanks for the response. I genuinely was asking this is what we built, it makes sense to me but I am having hard time to find people who would see this in customers. Who should we try to talk in companies, whether people see the issue? For us the problem is obvious, data is there but may be people do not care about it currently or not aware. If so how would the other founders overcome these challenges?
May be I over described the problem? Or was the questions made you to think it was a phony question? Or the question is so obvious it is too simple to ask?
Thanks for your response regardless.
Marketing is hard.
I think the biggest argument I've seen between sales people is "Do you sell something that will increase the customer's revenue or reduce their costs?"
For a well established business saving $1 in costs adds $1 to the bottom line whereas adding $1 in revenue also adds some cost of revenue so maybe it just ends 20 cents to the bottom line or something.
I think every business using AI is different but right now many users are in a "gold rush" phase where they don't have a rational economic model for the whole thing: they might be happy to have GPUs at all and not be worried that they have 30% utilization. Internal politics plays a big role, say my unit has a GPU cluster, I might be really possessive of it and resist sharing it with other units. For that matter I might get a big Mac Studio for my desk because then I can run any model I want that fits on it and never have to have a talk with anyone about model licenses and data privacy and token costs, none of that. From that point of view I could care less about utilization fraction and the one thing I care about is having my head.
I guess there is somebody who can say GPU compute is part of their cost of revenue and increasing the utilization fraction has a clear impact on the bottom line. That somebody probably knows a lot about cost optimization already (or thinks they know!) and might think you are bringing a tic-tac-toe master to a chess tournament! Might still be the kind of person you want to talk to just to talk to.