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.
Talha Chafekar
INExcellent product Excellent product. Very useful for my research work. Got my problems fixed pretty quickly. Would recommend it to anyone using any other cloud providers as runpod is pretty cheap comparatively.
Jose De Olio
GBBy far one of the best services I have… By far one of the best services I have ever come across, the whole team is genuine and will help you in anything you need. They have the capabilities to get what ever job you need done fast and easy. HIGHLY RECOMMEND!!!! I'm an artist and this is exactly what i need to further expand and expedite my business. -josedeolioart
Rachel Lai
HKVery responsive The owner of runpod are very responsive, very keen on making changes and improve user experience. Also willing to listen. Nice user interface with artpod, whoever help design the UI for artpod need a raise :)
Muhtasir Imran
BDPlease don't buy. Won't recommend using it. I used for training 7 models. For all of them, the cells (cpu process) took longer than other service like google colab. For example, loading a pretrained model from hf. It took around 20 sec for me to load and finish running the cell in colab. The runpod paused. Used an L40. It it pauses for around 5 min. Happens almost all the time. Had to delete the pod and recreate another pod. Which again adds unnecessary cost. Overall, they are theif.