davidbuniat

9 ms·

1. 61.▲
   by davidbuniat 8y ago

   @TekMol, we can give a try together to see if the streaming speed will be enough for running your WebGL application smoothly.
2. 62.▲
   by davidbuniat 8y ago

   Thanks for asking, thats a good point! Compared to spot/preemptible, your files will be persistent. You can stop your running pod, add more GPUs and then continue training your model.
3. 63.▲
   by davidbuniat 8y ago

   Haha, jokingly we use GPUs on our landing page to rent out to others. :D On a side note, animations are slightly tough, need to optimize them. Regarding WebGL, actually that is an interesting point, would like to know more about the use ca
4. 64.▲
   by davidbuniat 8y ago

   Those are all good points! We are trying to build a marketplace for large GPU providers to plugin their hardware. This will drive GPU costs to a market price. We are experimenting with pricing and if you want to rent for a whole month our p
5. 65.▲
   by davidbuniat 8y ago

   Good catch! We don't own hardware ourselves, but we are considering EULA with our partners.
6. 66.▲
   by davidbuniat 8y ago

   ah no worries, thanks for helping us out! sure will add automatic deletion support.
7. 67.▲
   by davidbuniat 8y ago

   [UPDATE] prices are public https://lab.snark.ai/pricing
8. 68.▲
   by davidbuniat 8y ago

   yeah you are right @Fede_V, sorry about this, just made it public https://lab.snark.ai/pricing
9. 69.▲
   by davidbuniat 8y ago

   Yeah, We present prices on hourly basis and you can spin up pods in matter of seconds. Actually we will try to reach them and see if partnership can make our services even cheaper, thanks for pointing this out.
10. 70.▲
    by davidbuniat 8y ago

    Just shoot us an email at support@snark.ai, we will handle it :)
11. 71.▲
    by davidbuniat 8y ago

    Thanks for asking, it is cheaper than preemptible instance of K80 0.135$/h on Google with an equivalent GPU of P106 0.095$/h on Snark.
12. 72.▲
    by davidbuniat 8y ago

    Thanks for raising this, we will put the prices public soon.
13. 73.▲
    by davidbuniat 8y ago

    yes, we are currently focusing on large-scale compute, but we are planning to add more variety for hardware.
14. 74.▲
    by davidbuniat 8y ago

    No, we only work with large scale hardware providers that guarantees security and reliability. We specialize in Deep Learning services including training and deployment.
15. 75.▲
    Launch HN: Snark AI (YC S18) – Distributed Low-Cost GPUs for Deep Learning

    122 points by davidbuniat 8y ago|66 comments
16. 76.▲
    Castly – Watch Together(castly.co)

    3 points by davidbuniat 12y ago|0 comments
17. 77.▲
    SmartClick: Revolution in the sphere of quizzes(kickstarter.com)

    1 points by davidbuniat 12y ago|1 comments
18. 78.▲
    by davidbuniat 12y ago

    let it go viral! (add link below each page to create your own page)