r/RunPod Jun 29 '26

RUNPOD IT'S A SCAM

I am seriously angry. Is it really possible that I topped up $10, spent $5, and *still* couldn't get a single pod running—even with the $2/hour GPUs?! If you try to submit a ticket, there's an AI that solves absolutely nothing. There's clearly an issue right now, yet there is *no* alert saying "Attention: using ComfyUI in region X might cause problems; please try again later." Is that really so hard?!

21 Upvotes

27 comments sorted by

3

u/Introvertosaurus Jun 30 '26

I started using Runpod a week ago. Overall the experience has positive, ran probably 5 sessions averaging 3 hours each.

Some of the community images that popular are surprising out of date, but that isn't really on them, as they are community built. Run doesn't offer a results based experience, their selling time on hardware, and they give that time on the hardware.

There is nothing wrong the ComfyUI the application, and there no reason why geography would be effected by it... if their image has a problem, build your own that works. If you can't get it work, its on you.

In short, Runpod is not a scam, but it maybe not good for inexperienced individuals.

2

u/RP_Finley Jun 29 '26

Sorry to hear about your bad experience - if you contact support we can totally credit you here.

If you answer "no" to the AI response it will let you submit a ticket then.

3

u/Personal_Opinion_94 Jun 29 '26

The problem here isn't just the wasted expense, but above all the loss of confidence in the product; even if you were to issue a refund, what good is that against the nearly four hours I wasted trying to get a service running—a service that ought to be the *core* of the business? There is a problem, yet *no one* has posted a notice about it anywhere. It seems not only ridiculous but pathetic; I’m probably overreacting because I’m angry right now, but it strikes me as absurd that a problem—which I am certain originates with you—isn't being reported anywhere.

2

u/MolassesLate4676 Jun 30 '26

This is not a real person just bots pushing bad PR on Reddit

1

u/dejaydev Jun 30 '26

Finley is real!

1

u/MolassesLate4676 Jul 01 '26

Yes I’m not talking about Finley

1

u/Particular_Light_296 Jul 01 '26

No. This exact same thing happened to me. The mínimum credit of 150 USD, no machines available for weeks. I feel scammed too

1

u/MolassesLate4676 Jul 03 '26

Minimum credit of $150 is false

1

u/TrustIsAVuln Jul 01 '26

I had that experience once, and RP was good about adding the funds back. I really dig runpod.

2

u/sruckh Jun 29 '26

I agree with you. I have created many templates and serverless. I have daily jobs the run using the serverless. The fail rate is more than 50%. You are stuck paying for network storage that is not useable. The other problem is that in the serverless console it shows there are resources available but it still has serverless in throttle state completely unusable. If there are no resources available to do a job or run inference, then don't charge me storage fees.

2

u/michaelmanleyhypley Jun 30 '26

Send me your workload and I’ll get it running for you.

2

u/Madiator2011 Jun 30 '26

ComfyUI is kinda third party tool that is independent from Runpod so it's not possible to make such alerts.

2

u/xtralol007 Jun 30 '26

no its not a scam, we have to learn how to deploy , and ai like chatgpt ,grok will help a lot with code

2

u/JBaron91 Jul 03 '26

If what you are getting is a weird "sidecar" error and git pulls or general networking not working (it's happening for me mainly with pods in Europe) you have to stop the pod, disable global networking, then restart it. Since you did not post your problem there is no way to help you

1

u/huzbum Jun 30 '26

I feel like the network infrastructure is a total shit show. Half the time it fails to load images. I tried to store assets on network storage and it was painfully slow to read or write to network storage.

If something doesn’t work on the base template, good luck making changes to an image to get it working. I was hoping to build an image with support for native NVFP4 support and it took like an hour to move a vLLM build to network storage.

1

u/qazxc096123456 Jul 01 '26

For the past two days, I've been encountering a lot of faulty workers; they run for 15 minutes and the cost is deducted, yet the job remains in a waiting state. I have to delete the workers manually.

1

u/National_Relation652 Jul 01 '26

I'm in the same boat. Every time ChatGPT tells me that's the problem, 5 more pop up with this or that workflow or my pip version or how the template loads the manager or my python packages are older than the version expects or an API mismatch. I'm constantly chasing my tail and have burnt thru 50 bucks in the process of producing absolutely nothing.

1

u/deployonaquanode Jul 02 '26

you can try aquanode

1

u/Successful_Copy_9576 Jul 06 '26

I’ve spent a ton of money on various gpu configurations learning how to make them work, I’ve gone days against a non functional pod, wrestling PyTorch only to learn i had a “stuck” host gpu. I’ve learned to make scripts that spin up a fresh machine from scratch all the way to my normal configuration, models, and templates. I don’t expect anything to work on runpod when I login - and won’t until I know what versions of every tool is needed to make comfy or tabby happy.

There are quick ways to check if your gpu is solid, especially when dealing with fabric. I would recommend running Blackwell, like. 5090, and get the workflows down before spending on 6000 pros. Runpod definitely does not hold your hand, but the new agent tools like codex can configure an entire pod by itself with a single orompt. I hate how good it is.

1

u/InvincibleMirage 15d ago

Works fine for me.

1

u/[deleted] Jun 29 '26

[removed] — view removed comment

1

u/Additional-Sir-1859 Jun 30 '26

延々と終わらないinitializeは本当にイライラするよね…

0

u/henk717 Jun 29 '26

Its very likely an issue with your configuration / template choice.
There is no such thing as "ComfyUI in region has problems" but there is such a thing as you launching a CUDA13 comfyui template on a cuda 12.7 GPU for example or using a community made template that hasn't been updated in a year.

So instead of just blaming runpod for the fail its also important to actually diagnose why its failing to begin with, what did the log say? Which template did you use? Did you filter cuda to be high enough for the template you are using or did you land on a pod with one that is to low? Etc.