6 ms·
Train Your TensorFlow Models on Rescale
- icinnamon 10y agoHelpful FYI: If you're interested in learning about Machine Learning (so you can use TensorFlow and Rescale, etc), I've found this to be an incredible resource: https://www.coursera.org/learn/machine-learning/ https://www.coursera.org/learn/machine-learning/
- ganeshkrishnan 10y agoIf you specifically want to learn about tensorflow then you can enrol for this course by Google https://www.udacity.com/course/deep-learning--ud730 https://www.udacity.com/course/deep-learning--ud730
- ilyaeck 10y agoRescale pricing: "Price as low as $0.04/core/hour" - if I am reading this correctly, training on a K40 Nvidia GPU (with nearly 3000 cores) amounts to about $100/hour. Bit pricey, no? Or am I not reading this right?
- trhway 10y agothe real price is "request for quote", so your number seems to be in the ballpark :)
- nl 10y agoI'd assume that is priced per CPU core (never seen anything priced per GPU core). From memory the $0.04/hour is the base price for EC2 GPU spot instances.
- kramimus 10y agoYes, you are correct. All our pricing is currently by CPU core. We are working on updates to make pricing more clear for GPU offerings. Our rate for a single K40 at the moment is $6/hr. (works at Rescale)
- gcr 10y agoHow do you plan on making your service's pricing competitive? Amazon's current spot market instances are ~30 cents per hour, which is twenty times cheaper.
- dbecker 10y agoFor a faster GPU, that allows me to iterate more quickly, I'd be more than happy to pay an extra few bucks an hour.
- kramimus 10y agoI cannot comment on future per node pricing at the moment, but we are currently working on new offerings that should improve both performance (CUDA cores/node) and $/CUDA core metrics.
- gcr 10y agoEC2 GPU spot instances average around $0.20 per hour in the cheapest region. On-demand instances are $0.65 per hour.
- isseu 10y agoHow can I install a custom python package? I've been using tflearn for my models, is there any way to use it?
- kramimus 10y agoYes, you can install custom packages. We can probably also add tflearn to the base tensorflow install so you don't have to set it up yourself. Feel free to contact me directly at the email in my profile for more info on this.
- modeless 10y agoThe GPU chip is Nvidia's GK104, which was released in 2012. Amazon's GPUs are similarly old. You'll train models twice as fast with a Titan X installed in your local machine, without having to deal with distributing the training. When will we see the first cloud machine learning provider with up-to-date GPUs?
- matheweis 10y agoIs it? Their website (http://www.rescale.com/pricing/ http://www.rescale.com/pricing/) says they have Kepler K520 and Tesla K40. No affiliation with them at all, and haven't logged in yet, but I've been looking for something like this too, so I was hopeful until I saw your comment...
- gpoort 10y agoIt is not the only hardware on Rescale. K520 and K40 are definitely available - after you create a free account and login there is a very transparent price list of the hardware available to you. (works at Rescale)
- kramimus 10y agoYes, I agree, that hardware is aging. We are currently working on making K80s available and should be ready in the next couple months. (works at Rescale)
- modeless 10y agoK80 is still Kepler based. Why not Maxwell?
- kramimus 10y agoK80s are only our next release, we do not plan to stop there.
- dgacmu 10y agohttps://thevirtualhorizon.com/2016/04/09/whats-new-in-nvidia-grid-licensing/ https://thevirtualhorizon.com/2016/04/09/whats-new-in-nvidia... (tl;dr - you have to pay more to wrap the GPU access in a VM. Like, $550/more, plus a year of software support, according to that article. IANAL and haven't read any of the license details, so I don't know if there are more gotchas.)