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Hi! I'm Naren, the other co-founder of FloydHub. I'll be happy to answer any questions and really appreciate any feedback you can provide. Thanks!
The first link to the pricing page on the FAQ points to localhost. Everything else looks really slick!
Hi! I'm Naren, the other co-founder of FloydHub. I'll be happy to answer any questions and really appreciate any feedback you can provide. Thanks!
The jupyter jobs look neat, but I assume they are charged continuous time? Would be cool if somehow that only ended up charged for compute time, but I understand that would be difficult.
Are these instances guaranteed to be in a given region, for if I wanted to route more complex debug output / intermediate files to S3?
Is this currently running on a one of the available GPU cloud services (IE AWS, Azure, Nimbix, etc...) or some self hosted hardware?
Just an observation :).
Is this currently running on a one of the available GPU cloud services (IE AWS, Azure, Nimbix, etc...) or some self hosted hardware?
Nevermind, another comment mentions AWS. You seem to pretty much run at cost then (a little less), if you GPU hours are $0.432 @ 2 cores, 32G, and a k80. Then packing a p2 instance would run you $7.2 (or $14.4, etc..) and back of the napkin math says you can pack about 15 gpu jobs in a p2.8x. So you hour cost on a job is $0.48. Just an observation :).
Earlier quoted context omitted.
Nevermind, another comment mentions AWS. You seem to pretty much run at cost then (a little less), if you GPU hours are $0.432 @ 2 cores, 32G, and a k80. Then packing a p2 instance would run you $7.2 (or $14.4, etc..) and back of the napkin math says you can pack about 15 gpu jobs in a p2.8x. So you hour cost on a job is $0.48. Just an observation :).
I guess the profit margin comes from the $99/user fee
Is this currently running on a one of the available GPU cloud services (IE AWS, Azure, Nimbix, etc...) or some self hosted hardware?
Nevermind, another comment mentions AWS. You seem to pretty much run at cost then (a little less), if you GPU hours are $0.432 @ 2 cores, 32G, and a k80. Then packing a p2 instance would run you $7.2 (or $14.4, etc..) and back of the napkin math says you can pack about 15 gpu jobs in a p2.8x. So you hour cost on a job is $0.48. Just an observation :).
We are only using p2.xlarge (1 GPU) for now. Driving down the cost is really important to us. We use reserved instances, spot fleets, etc. to be at We’ve been thinking about our own infrastructure. It would really drive down the cost, but obviously, comes with its own challenges :)