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If you are into baseball and advanced sabermetric stats, there's a bunch of c3.8XL and g2.8XL instances out there cranking through data to train various neural networks. The results can't be published to the public but I'd be happy to add you to the distribution list of results and future projections.
Edit: email -> dustin@xdlbx.io
www.escherpad.com
Amazon was generous enough to give you the credit trying to help your company, and in general is extremely helpful to the startup community as a whole with AWS credits. Maybe you should just give it back to them so they continue to be so kind in the future. (On the other hand, the main reason AWS gives out these credits is to get startups hooked on AWS, then charge borderline outrageous prices once the credit is done…
They're not a non-profit. They don't always have the best price/performance ratio, but they do offer scaling options that few competitors can match.
Disclaimer: I am a former Amazon employee, though I sold my stock. Regretting it now, but what can you do.
I am doing my thesis (in the general area of video classification) as an electrical engineer in a Greek University and I am currently running some experiments that try to learn a video representation from local features (kernel codebook encoding) using an SVM variant and stochastic gradient descent. I could use a couple of c4.8xlarge instances to run the experiments trying out learning parameters. I am currently "com…
Give it to Watsi, a non-profit that is making extensive use of AWS. It would probably equate to donating the entire sum to them.
Amazon was generous enough to give you the credit trying to help your company, and in general is extremely helpful to the startup community as a whole with AWS credits. Maybe you should just give it back to them so they continue to be so kind in the future. (On the other hand, the main reason AWS gives out these credits is to get startups hooked on AWS, then charge borderline outrageous prices once the credit is done…
There's just no infrastructure to support that scenario.
I am doing my thesis (in the general area of video classification) as an electrical engineer in a Greek University and I am currently running some experiments that try to learn a video representation from local features (kernel codebook encoding) using an SVM variant and stochastic gradient descent. I could use a couple of c4.8xlarge instances to run the experiments trying out learning parameters. I am currently "com…
You know it pains me to see you ask for resources. Everyday at work, my team uses a couple r3.4x large and c4.8x large for trivial tasks. My team does not realize how valuable a resource they are accessing(and wasting) everyday. I wish I can donate those to you, but company policy forbids me to.
I hope I didn't sound ungrateful... There are resources in the university but they come with overhead and not as much freedom as a VM on which you can do anything.
That said our cluster is about as big as two c4.8xlarge vms.