RunpodReviews of runpod.io

Runpod.io is definitely the most cheap GPU cloud service providers on the internet. They also help you out 24/7 ! You can contact directly with admins on Discord, which is amazing.

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

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.

Excellent cloud-computing and on-demand GPU service. Use them for AI image generation personally, super fast, affordable, service is great and the team is very personable and easy to chat with.

Prompt and very helpful customer service. GPUs work great and as advertised. Prices are about the cheapest you will be able to find anywhere! I now use their service for all of my AI/ML and 3D rendering needs.

Our team took a little time to test out RunPod to see how it stacks up against AWS, Azure, Google Cloud, and other cloud infrastructure providers we've used in the past. What can I say? The prices are an offer I can't refuse! We were able to spin up our first RunPod instances within about a minute using their custom docker deployment interface. Definitely recommend this service to anyone that needs GPUs in a hurry.

Quick and Easy to get started running Docker containers with a wide range of GPUs. Using Docker to manage applications allows me the ability to easily switch and test different machines.

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.