Re:Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
by bfortuner on Thursday February 16, 2017 @01:57PM
(#13662514)
Nice! There is a real need for this in the market right now--especially among students, who struggle to setup working environments. I really benefited from your early Github project aimed to make setting up DL machines easier. Curious how defensible your product will be in the event Heroku/AWS come in with a competitor?
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Re:Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
by saip on Thursday February 16, 2017 @06:27PM
(#13664591)
Defending against big players with almost infinite resources is always an interesting problem. Kind of have to hope they don’t come at you head on :) That said, there might be other aspects that come into play. For example, the market is fragmented with big providers each having their own frameworks and infra that they prioritize (Google - Tensorflow/GCP, Facebook - Torch, Microsoft - CNTK/Azure, Amazon - MXNet/AWS, Baidu - PaddlePaddle, etc.) Since there is yet no clear winner, which will likely be the case for the near future, vendor lock-in is not really desirable. We intend to be backend / framework / language agnostic.