RunPod Inc

1181 Nixon Dr. #1158, 08057, Moorestown, United States
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4.00
Based on 20 Reviews

5

75.00%

4

0.00%

3

0.00%

2

0.00%

1

25.00%
About RunPod Inc

We are passionate about building a GPU cloud for machine learning, artificial intelligence, computer vision, generative art, stable diffusion, dreambooth, rendering - you name it. We're a scrappy group of individuals who love to solve problems. Contact us with yours and we're happy to help. Our secure cloud solution is currently hosted in Datacenters worldwide and we are expanding every day! Our solution currently provides easy access to Nvidia GPUs in a linux environment, but we aim to support windows and AMD soon.

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Domagoj
HR

Stumbled 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.

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Talha Chafekar
IN

Excellent 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.

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Rachel Lai
HK

Very 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 :)

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Kunt Industries
TR

Best cloud GPU provider! 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.

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Muhtasir Imran
BD

Please 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.

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