Karolus C
BELow cost, great UI and responsive devs I tried out many cloud GPU services, including the big names, but this one is by far the cheapest and most convenient to use. You can literally have a couple of GPUs ready in minutes! The devs are also super active, they always answer questions very quickly and never hesitate to help with any issues you might have.
Domagoj
HRStumbled upon this service by accident. Stumbled upon this service by accident. I'm so impressed with how quickly I could get my model up and training using Pytorch. Prices are mega-competitive. Recommend it with whole my heart.
Felipe Infante de Castro
GBRunning serverless Runpod in a production-level Gen Art service Hey all -- my startup, Distillery, runs 100% on Runpod serverless, using network storage and A6000s. We run ComfyUI on the backend with a custom connector we created to do it, and we open sourced both it and the Runpod worker codebase. If you'd like to know more about how to deploy it, fire me a DM and I'll be glad to talk about it. I had some tough times with the lack of servers, but this issue has reduced considerably in the past weeks, as promised by the Runpod guys. We launched on ProductHunt today, and thankfully people seem to be interested in it; we're currently #6 in the product launches today with about 200 upvotes. We are now approaching 2k members in our server, and this very busy day has been running very smoothly so far using our Runpod backend. Thanks Runpod guys for the ongoing support.
Rudy Hinojosa
GBThe most promising GPU cloud startup I've seen :) While still young, RunPod does not do anything they aren't sure "just works." Aside from the great prices, support is stellar and quick, even with a small team (even if documentation isn't as thick as a phonebook), and if you need a cloud GPU, I really wouldn't point you elsewhere unless you need Docker support, which isn't possible just yet, but I was told Docker support may come soon. Current templates available for your "pod" (instance) are TensorFlow and PyTorch images specialized for RunPod, or a custom stack by RunPod which I actually quite like, or lastly, an option to use a repository from Docker Hub as the template. RunPod's become my go-to for GPU cloud. Definitely give it a try! It's unique, fast, and you can tell it was made by people who take pride in their work.
D A
GBTheives. I will continue to share my story. No refunds, crappy service. HIGHLY NOT RECOMMENDED. Liars, and thieves.