Determing a fit for my needs.
Hello, I currently have a Ubuntu VM with GPU support, a static IP and storage with Vultr.
The project is being developed so it’s not using really any resources (no clients).
The client iPhone and android app will offload GPU processing to the backend GPU enabled server.
I feel like I’m paying a lot with vultr to develop a few hours a day but the backend must be available 24x7 with scalable resources as my project grows.
Is there a roughly equivalent offering with you folks I can save some money with while I’m developing as well as scale with when the time comes?
Thank you so much for your guidance. Christopher
Thank you so much for your guidance. Christopher
1 Reply
Our serverless product can spin up your backend for however long you need it.
It would take some tuning to make sure the image stays on long enough to not die immediately after a single request (and thus waiting for the image to start up again, which can suck in the dev loop). I guess it depends on your exact setup, but you can check out the docs and see if we're a good fit? https://docs.runpod.io/serverless/overview
Overview | RunPod Documentation
Use Serverless to scale your machine learning workloads, with flexible GPU computing for AI inference, training, and general compute, pay-per-second pricing, and fast deployment options for custom endpoints.