Probably the easiest and safest way to run cloud GPU tasks. Machine learning in the cloud.

In this video, I look into the Hyperstack platform, which is a GaaS (GPU as a Service). On this platform, you can easily spin up a new machine, train your AI models, serve a user, or perform any other task that requires a lot of compute.
Try Hyperstack:
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Outro music: Sanaas Scylla
#hyperstack #GaaS #nvidia

[@endurance7935]

great presentation! 🙂

[@affanamin6540]

thanks its solved my problem

[@christianbmerges]

Would it be possible to use it for plex transcoding?

[@DanielPersson]

Hi Christian
From a technology point of view I see no reason why you would not be able to. But licensing and what kind of loads that are allowed is something you should look into if that is a use case you want to support.
Then again hosting material on another site and proxy it through their solution would not be an efficient solution.
Best regards
Daniel

[@theshemullet]

That is quite an interesting idea. Jellyfin or plex, could run well. It seems you get direct access to the cards. Also for transcoding a lower GPU would be good enough, if only home setup and not as a service