Re:Pac-Man recreated with a GAN trained on 50k game episodes
by lumost on Friday May 22, 2020 @02:58PM
(#23275626)
On A: Using a p3.2xl for that task leaves you with a minimum ec2 cost of goods sold of 50 cents per user per month for the target task. To make a reasonable SaaS business out of this you would need to be charging a minimum of $5.00 per user month for the service that this GPU is providing, assuming all other tasks have a negligible impact on Cost of Goods Sold, and that you are able to spread the load optimally throughout the day - and thus don't have to purchase higher capacity during peak.
This isn't too bad of a situation if this GPU provides 100% of your value proposition. but, if you needed your product to perform 5 such tasks - or competition/customer demand forces you to move to a bigger model with a 10 words per second inference rate then you may find it hard to balance customer value vs. price vs. margin.
Re:Pac-Man recreated with a GAN trained on 50k game episodes
by chx on Friday May 22, 2020 @06:38PM
(#23277876)
>
On A: Using a p3.2xl for that task leaves you with a minimum ec2 cost of goods sold of 50 cents per user per month for the target task
https://twitter.com/br_/status/979442438254166016
> "selling AWS at a loss" is crisp shorthand for a lot of startups' business models!
B) This specific example actually shows ML toolchains are orders of magnitude better, than existing ones. Imagine you wanted to make a football game from scratch, and this technique would let you do that by just feeding a lot of football game recordings to a program, as opposed to hiring software devs and graphics designers, and iterating for a year.