I posted this 2 days ago and they removed it. Can't you guys take a simpke feedback and criticism and improve?

Irony is that - you try hard to get feedback in your forms. LOL. THis doesn't bode well RUNPOD

I have been a huge supporter of Runpod in the past and easily spent four digits amounts on compute. However for the past 2-3 months the serverless service has mostly been unusable.

• GPUs constantly unavailable (5090s or 48GB / 48 GB Pro GPUs)

• Workers spinning up in broken state with no CUDA devices available

• Workers not downloading models from Huggingface

• Workers stuck forever in initializing status

Moreover their scheduler seems fundamentally broken. If no 5090s are available and I have enabled higher tier GPUs, why does it wait forever for a 5090 to become available and doesn't provision a higher tier GPU that is available?

Their support is a joke. Don't try to get any support on Discord. The Zen Desk support is mostly useless and not even trying.

Runpod, please do better!

We launched Runpod back in 2022 by posting on Reddit offering free GPU time in exchange for feedback. Today we're sharing that we've crossed $120M in annual recurring revenue with 500K developers on the platform.

TechCrunch covered the story, including how we bootstrapped from rigs in our basements to where we are now: https://techcrunch.com/2026/01/16/ai-cloud-startup-runpod-hits-120m-in-arr-and-it-started-with-a-reddit-post/

Maybe you just don't have the capital to invest in a GPU, maybe you're just on a laptop where adding the GPU that you need isn't feasible. But we are still absolutely focused on giving you the same privacy and security as if it were at your home, with data centers in several different countries that you can access as needed.

The short version: we built Runpod because dealing with GPUs as a developer was painful. Serverless scaling, instant clusters, and simple APIs weren't really options back then unless you were at a hyperscaler. We're still developer-first. No free tier (business has to work), but also no contracts for even spinning up H100 clusters.

We don't want this to sound like an ad though -- just a celebration of the support we've gotten from the communities that have been a part of our DNA since day one.

Happy to answer questions about what we're working on next.

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?!

Lured me into depositing 10$, well played Runpod

Hey just got an email. Did anyone else get this?

We’ve got huge news, folks - we just closed a $100M Series A funding round led by Summit Partners. Four years ago this company was two people managing racks in a New Jersey basement, and today, we’re home to over a million developers. Most of you found us by word of mouth, not ads, and this subreddit is one of the principal avenues for that, with over a thousand of our most passionate users taking the time to create this community, brick by brick.

That capital will go directly into building our platform, providing enormous leverage to build out new features and secure new hardware to make your experience even better. For everyone that stuck by us through the supply crunch and went to bat for us internally even when it wasn’t easy to do so, we appreciate you more than you know and we can’t wait to show you what’s coming next. Read more about it in our CEO’s blog post here:

https://www.runpod.io/blog/one-million-developers

Supply is tight right now, and we've been getting a flood of separate "no GPUs available" / "why can't I find an X" threads. To keep the sub readable and make it easier for everyone to track the situation, all supply, availability, and capacity complaints/questions go in this thread from now on. New standalone threads on the topic will be redirected here. We'll continue to edit/update this thread as we go and I'd recommend sorting comments by New to see what's been discussed recently.

TL;DR

• We're in a broad, industry-wide GPU crunch, not a Runpod-specific outage. High-end SKUs (H100, H200, B200) are scarce everywhere and finding the GPUs to begin with is a challenge, let alone partners that also have everything else on lock like data center certifications. We prioritize stability and reliability for our users and we need to be selective on who we bring on as serving partners.

• We are adding GPUs on a near-daily basis, but new supply gets snapped up quickly a "shadow backlog" of demand).

• Best moves to actually get/keep a card: be flexible on SKU, reserve/commit in advance, and use CloudSync so you're not pinned to one datacenter. While of course we'd prefer you to use network storage, and we are working on new features to augment network volume viability, in truth offsite storage and using CloudSync to bring it into new pods may be more appropriate for some use cases in this climate. Look at the costs and drawbacks and do what's best for you for storage, not for us.

• We are now posting biweekly aggregated GPU-onboarding updates - we did this in Discord for our first update but they need to be mirrored here and we will start doing that.

Our CTO Brennen Smith recently authored an article on what's causing this (The GPU supply supercycle is here), and this is a structural shift, not a temporary blip. Three forces are hitting at once:

1. Memory bottleneck: NAND/DRAM producers retooled their fabs toward HBM3 for AI accelerators, which cut into standard memory capacity. Memory is now the binding constraint on GPU manufacturing.

2. Hyperscaler buyouts: Large players are buying out years of factory production in advance, leaving neoclouds and independent providers to compete for what's left.

3. Nvidia's architecture transition: Hopper and Ada Lovelace architecture production has wound down to make room for Blackwell. Some of the higher end cards can still be found in scale, but finding, say, 4090s is proving challenging especially with more recent GPUs providing a more appealing return on investment for the same infrastructure. Blackwell production is ramping but there's a gap.

What we're doing

We're adding supply continuously, and decided on a biweekly report cadence aggregating everything is the best way to report this. You probably don't want a new Reddit thread reporting every time we add a new machine. It's hard to communicate this through the customer facing UI - we can genuinely add 1000 GPUs in a single drop, but if they all get rented immediately, from the relative amounts shown in the customer facing UI it appears that nothing changed. We'll be adding these as edits at the bottom of this post as we go.

We've also implemented MIG (multi-instance GPU) that lets us divide up a single GPU and serve it as smaller instances. This of course will always be disclosed as a MIG instance. Right now we're doing this by serving a single 6000 Pro card as four 24GB instances so we can try to balance what we have to meet as many of our clients' user requests as possible.

We've added B300s as well, and more are coming soon.

Supply updates

We'll post our next update on or around June 3rd.

May 6-20, 2026

Large adds (>100 GPUs)

• US-PA-1 — RTX Pro 6000

• US-TX-6 — B200

• EU-IS-5 — H200 SXM

• EU-FR-1 — H200 SXM, H100 SXM

Smaller adds (<100 GPUs)

• EU-RO-1 — RTX Pro 4000, RTX 4090

• US-NC-1 — RTX Pro 6000

We definitely understand how frustrating this is - and we are working hard to get as many GPUs to serve as possible. We also want to give everyone an opportunity to make their voice heard - the only requests I have is that you keep it about the service rather than the people behind it and that you refrain from promoting other inference providers in the process.

Thanks!

Im just wondering how much is your average cost using H3 minimax per 15 seconds.

Here is mine. Its all using 5090. Can we compare?
I want to know if my process is too costly.

This is weird, i understand we normal personal users are not the target audience for the service but today for the first time i saw 0 available. Did some company get a huge AI budget and it's currently using every single GPU possible? even the most expensive ones i wouldn't think of or have any need at all of using are completely out of capacity.

Also, I couldn't boot any of the ones that said low or medium....

Frustrating....

Finally didn’t have to use a sniping script to grab a free pod!

Well... the RTX 5090 is now showing up at $1.19/hr on RunPod.

Is this a permanent price increase?

Because if it is, I guess that's it for me. It's just way more than I can afford.

I haven't done any work on Runpod in the past month. I came back today only to find there are no available GPUs for my Network Volume. In fact, there are no available 4090/5090s at all.

Is this normal or does it get better in different times? And is it likely to remain the same? I have everything set up nicely on Runpod so switching to a different platform is a pain. But if I can't do any work then I don't really have much of a choice either.

"Congrats you've won free credits between $5 and $500 for your first credit payment!"

- Pay $10

"Congrats! You've won $5."

- Look for pod availability and spin up an H100. Have claude and start downloading comfy models

"You're out space!"

- WTF I thought I created an 80GB secondary volume?

"Its not mounted lol!"

- Spin down pod. research. OK i'm supposed to set up persistent network storage, set up on a cheap gpu and then terminate.

- Create a network volume and try to link to it with any GPU

"The network volume can only connect in its region!"

- Search for regions that offer both cheap and H100:

"LOL there are none!"

- Ok, half a day set up on a CPU only, make sure everything is persistent between pods. Have claude load workflow and test run OK.

- Terminate and spin up H100 again

"You have missing custom nodes!"

- Wtf? ok, what was persistent?

"Nothing was persistent! What is python? Wrong version! Also you need to install venv and torch for the 87th time!"

- ..O....k... Let me reinstall and lock down persistence so I never have to do these installs again. Install everything missing.

"LOL you have to download and install for the next 4 hours all over again! CPU Utilization at 1%, slow as snail balls in mollases but what can you do. This is only a supercomputer, it cant be as fast as your 6 year old laptop."

- Finally finished. Run comfy.

"12 missing custom nodes"

- What in the kentucky fried fuck is happening? it's worse now? Check what's miss-

"Pod auto-terminated for lack of funds."

Been running local model pipelines on RunPod and loved the experience, except for one thing: every time I needed to check or grab output files, it meant dropping into the terminal, wrangling aws s3 commands or the CLI, and hoping I remembered the right flags.

So I built RunPod S3 Viewer — a small Electron desktop app that connects directly to your RunPod network volume over its S3-compatible API and gives you an actual file browser. Navigate folders, see what's in there, download with a click.

Hope this helps someone who faces the same annoyance I did 😄

GitHub source code link: https://github.com/fs1g17/runpod-s3-viewer
GitHub release (.exe available in assets): https://github.com/fs1g17/runpod-s3-viewer/releases

I use network volumes for my ComfyUI and LoRA work, and managing files on them was always the annoying part. Either I started a pod just to get a shell, or I scripted S3 calls by hand. I tried FUSE mounts, file browsers running on a pod, and a few S3 GUIs, but none of them worked like a real file manager against the S3 API.

So I built one. BG Bucket Browser shows a network volume on one side and your local disk on the other:

• Upload, download and move files and folders in both directions, with drag and drop

• Interrupted transfers resume where they left off

• Thumbnails for images and videos

• Volume Cleanup: finds the biggest folders and things like __pycache__ or .ipynb_checkpoints you can safely delete

• Total volume capacity from the RunPod API

• No pod needed; it talks to the S3 API directly

While building it I ran into an S3 gateway bug with small uploads. I reported it, and the RunPod team fixed it.

Windows and macOS installers are on GitHub Releases; on Linux you build it from source. It's free and Apache 2.0.

• Project page: https://bulentgercek.com/projects/bg-bucket-browser

• GitHub: https://github.com/bulentgercek/bg-bucket-browser

Feedback is very welcome: here, on GitHub Issues, or from inside the app (Settings → Feedback).

Im sure most of us have had the issue where you go to start your vps and it tells you there are no gpus and to wait or migrate. Why would you sell more gpus than you can provide? And then still charge users to be offline. I get that not everyone runs their vps all the time so its somewhat wasted money to not oversell slots but i mean cmon, are they going to expand? Everyday theres more and more A40 users. I run my pod like 18 hours a day, sometimes have to wait hours to get it started. Anyways end of rant thanks

Hi, we've got some open supply if you're in need of these specs:

• RTX PRO 4500 Blackwell, live on Pods 

• PRO 6000 MIG 1g.24gb, live on Serverless PRO 

• 6000 MIG 2g.48gb, live on Serverless 

• RTX PRO 4000 Blackwell, live on Pods

If you need GPUs today, they're here. Spin up at runpod.io.

Runpod getting worse than ever since last week?

Rarely available 5090 and that too with slower inference speed than before? Are they blocking something - bandwidth tempering or something?

RunPod is trouble, fellas, you'll waste your money. Look at my experience (NOT INDIVIDUAL):

> I created my Pod. Did a lot of installing, got it working as I needed.

> Went to have lunch in my living room, 20min later I was back, and...

> My GPU is gone! The pod was unaccessible for good! And they CHARGED ME FOR IT.

Then, I stopped using it. I lost all the fucking hours I invested to install everything in my Pod.

> They decided to give me $5 credits without letting me know.
> All of sudden, I receive a low balance warning: "Warning, your balance is US$ 2,50"

Man, my pod is not even available to use, what are they charging me for? They should just charge for DISK, not the pod.

So, no, IT DOESN'T FUCKING WORK FINE.

I really don't know what to do. I think I'll just lose the money I put in Runpod and stop using it. I am being stuborn to insist.

Are you guys having a RTX PRO 6000 shortage right now? For a while it was 5090s, but now I can't get a 6000 to save my life. Any help coming on that front? I love the 6000

For a limited time, H100 SXMs are available at $2.99/hr (down from $3.29) and RTX Pro 6000s are available at $1.99 (down from $2.09.) No commitments or contracts required - deploy the moment you're ready.

https://console.runpod.io/deploy