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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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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D A
GB

Theives. I will continue to share my story. No refunds, crappy service. HIGHLY NOT RECOMMENDED. Liars, and thieves.

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Karolus C
BE

Low 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.

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Dexter S
TW

Initiating charges without obtaining… Initiating charges without obtaining explicit consent and subsequently denying refunds constitutes a serious breach of U.S. legal standards.

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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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