Couldn't afford GPUs as a student. Built my own cloud GPU provider

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Last semester while working on deep learning side projects (most notably a TensorFlow CharRNN chatbot trained on ~500k of my own text messages) I'd always come across the same problem: I couldn't afford GPUs as a broke college student. After being fed up spending more money on cloud resources than I did on food, I decided to build my own cloud GPU provider with prices ~3-5x less than AWS, GCP, and Azure. This was done by aggregated underutilized servers from different hosting providers across the world and developing a layer of abstraction over their heterogenous hardware, then letting people use it for far cheaper than AWS. It's live at https://vectordash.com - you can create a Linux VM within seconds. Any feedback or feature requests would be much appreciated and happy training!

Visit product View on Hacker NewsSep 24, 2018

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nativeThis product was originally launched on this platform.

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47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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