PODs are easy to create with the provide API. Calculations are stable. However, streamlined process to create a volume on a data center which has available resources matching the calculation needs is... See more
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Review summary
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Reviews shaping this summary
Very convenient, simple, rich. Only issue is gpu availability when there is huge demand. Please expand in north Africa :)
Most everything is fine, except that my pod disconnects frequently.
Good support service. Not enough GPU resources. Especially sovereignty (Canada) .But anywhere. Always waiting for free GPU. Solved by going to Modal. They have api client. Love it..lots of GPU serve... See more
Company replied
Company details
Written by the company
Runpod is the AI Developer Cloud for teams building, training, and scaling AI applications. Developers use Runpod to move from experiment to production in one platform, with Pods for building, Serverless for shipping inference workloads, and Clusters for scaling larger deployments. Runpod gives AI and ML builders access to GPU and CPU compute without forcing them into a heavyweight cloud workflow. Teams can launch GPU environments, bring their own containers and frameworks, deploy serverless GPU endpoints, manage storage, monitor workloads, and run closer to users across global regions. Runpod supports a broad range of GPU options, from workstation-class cards to high-memory accelerators, so developers can choose the right compute for prototyping, fine-tuning, inference, rendering, research, and production workloads. Runpod is built for developers who want infrastructure that stays out of the way. The platform supports common AI workflows such as model training, fine-tuning, image and video generation, LLM inference, agent systems, and compute-heavy applications. Startups, AI-native teams, researchers, and infrastructure teams use Runpod when they need flexible cloud compute, straightforward APIs, container control, and a path from early experimentation to production deployment. For product help, billing questions, platform status, and account support, visit runpod.io or contact support@runpod.io. Customers can also find platform updates and status information from the Runpod website.
Contact info
1181 Nixon Dr. #1158, 08057, Moorestown, United States
- support@runpod.io
- runpod.io
3.7
Average
342 reviews
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Replied to 64% of negative reviews
Typically replies within 1 week
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Great Tool
Runpod helps me to run different pods in ComfyUI I use it almost everyday now.
10 July 2026
Unprompted review
Reply from Runpod
Hello Joanna, thank you so much for the kind words! We're glad Runpod has become part of your everyday ComfyUI workflow!
Best regards,
Runpod
Great platform to rent from!
1 July 2026
Unprompted review
Reply from Runpod
Hello, thank you for the review! We're glad to hear you've had a great experience renting on Runpod. We love happy customers!
Best regards,
Runpod
Reply from Runpod
Hello, thank you for the great review! We're happy to hear the interface made setup easy for you.
Best regards,
Runpod
The price is good
The price is good, and the UI is friend to tech people.
9 July 2026
Unprompted review
Reply from Runpod
Hello, thank you for the kind words! We're glad to hear the pricing and UI are working well for you.
Best regards,
Runpod
0 availability
When it works it's fine like any other but there is 0 availability and you end up just wasting time waiting for downloads only to later have to switch 10 times from network volume because there is no availability.
8 July 2026
Unprompted review
Reply from Runpod
Hello, thank you for the feedback, and we're sorry for the frustration. We understand how disruptive it is to hit 0 availability and have to repeatedly switch away from your network volume just to get capacity.
We'd like to look into your specific case. Could you reach out to us at help@runpod.io with your account email, the GPU type/datacenter you were targeting, and roughly when this occurred?
We'll have our team investigate and see what we can do to reduce this friction going forward.
Best regards,
Runpod
Thanks /10c
25 June 2026
Reply from Runpod
Thank you so much for the 5-star review! We're glad to hear you're having a great experience with Runpod.
Best regards,
Runpod
Server Services aren't reliable
I have tested serverless templates. I sent a very simple "hello world" test to their Text to speech API. I wait 1 minute for getting an answer. The website does not tell in real time how many jobs are in the queue. It is lame.
I created a pod, but then it was not available anymore. So, i wanted to migrate the instance to another server but no server were available. and then, when one server was available, an error occured. Then, it finally migrated to another server but this time 99% of the GPU was already in use by somebody else.
Conclusion:
you never know when your server will be available.
you don't know when your job will be processed.
6 July 2026
Unprompted review
Reply from Runpod
Hello Jorge, thank you for the detailed feedback, and we're sorry to hear about this experience.
We'd like to look into your specific case. Could you reach out to us at help@runpod.io with your account email, the endpoint or Pod ID, and roughly when this occurred? We'll have someone investigate right away.
We appreciate the feedback on surfacing queue status and availability more clearly. We will pass this feedback along to the appropriate teams.
Best regards,
Runpod
Reply from Runpod
Thank you so much for the 5-star review and for taking the time to share your experience with Runpod! We're thrilled to hear you're happy with the platform.
Best regards,
Runpod
Can't pull image from docker hub
Imagine pay for instance with rtx 5090 6.6$ per/hour that can't fetch public docker hub image.
3 July 2026
Unprompted review
Reply from Runpod
Hello, thank you for the feedback, and we're sorry to hear about this experience. We understand the frustration of paying for a high-end GPU like the RTX 5090 and then losing usable time to an issue with pulling a public Docker Hub image.
We'd like to dig into what went wrong. Could you reach out to us at help@runpod.io with your account email, the Pod ID (or approximate timeframe), the datacenter/region, and the image name you were trying to pull? We want to confirm exactly what happened in your case and get it fixed.
We appreciate you flagging it, and we'll make sure our team investigates right away.
Best regards,
Runpod
Quality and ease of use
The first provider of many that accepts pre-paid cards like Revolut and very easy to setup with cursor, use in terminal or anywhere really, great prices and great UX. Even offers 5 dollars if you spend 10 and another 5 for every friend you invite. Great choice of GPUs at various prices and capabilities. Also very good UI so it is easy to navigate and easy on the eyes. I suggest using pods as they have great prices and a very good to use during long fine-tuning/training sessions.
2 July 2026
Unprompted review
Reply from Runpod
Thanks for the thoughtful review. Glad to hear Runpod has been easy to get running with Cursor, from the terminal, and for longer fine-tuning/training sessions on Pods.
That combination — fast setup, flexible GPUs, and clear pricing — is exactly what we want builders to feel when they use Runpod.
Thanks again for taking the time to share this.
Constant phantom costs.
Very dodgy platform. They offer some templates to get you started but quickly show to be charging you daily small amounts that are very unclear as to their origins. They will charge you for a storage volume on a hibernating pod that you aren't using and they don't show that cost when you look at the costs of the pod. 3 times already I've had to return to my account to find all my pods paused but my credits drained due to this.
You have to go and do detective work to find out what's draining your credits. There are parts of this service that are nice to work with but these types of practices are not a one-off issue. It's very clear that this is a consistent way for them to drain your cash which is sad cause I'd rather use those credits to actually use the pods.
1 July 2026
Unprompted review
Reply from Runpod
Thanks for sharing this feedback. We’re sorry for the frustration — unexpected credit usage is not the experience we want customers to have.
Hibernating or paused pods can still have attached storage volumes, and storage may continue to incur charges even when compute is not running. That said, we hear your concern that these costs should be easier to find and understand, especially when reviewing pod costs.
We’d like to look into your account and help identify what caused the credit usage. Please contact us at help@runpod.io with the email tied to your Runpod account.
We appreciate the candid feedback and are sharing it with the team.
Best regards,
Runpod Team
Very frustrating first experience with…
Very frustrating first experience with RunPod.
I created an RTX 4090 Pod with a network volume for a ComfyUI video workflow. After funding my wallet and paying for persistent storage, I stopped the Pod to avoid GPU charges. When I tried to start it again, RunPod said the GPUs were no longer available.
The platform first offered to “automatically migrate” my Pod data to a new Pod with identical GPUs, but when I selected that option, it then said no instances were available. That is unacceptable: RunPod can keep my cash locked in a wallet balance, charge me 24/7 for storage, and still deny access to the compute power I need.
This makes RunPod Pods unreliable for any production or automation workflow unless users pay for reserved capacity or use another product. This risk should be made much clearer before users create Pods and pay for network volumes.
18 June 2026
Unprompted review
Reply from Runpod
Hello, thank you for the detailed feedback, and we're sorry to hear about this experience. We understand how frustrating it is to pay for persistent storage and then find that GPU capacity isn't available when you try to restart your Pod, especially after being offered a migration option that then also failed. We'd like to look into your specific case to understand exactly what happened. Could you reach out to us at help@runpod.io with your account email and the Pod ID or approximate timeframe? We'll have someone investigate right away. We also appreciate the point about communicating this availability risk more clearly before users create a Pod and pay for network volumes.
Best regards,
Runpod
Awesome!
Awesome. I’m having a great experience with studying ai infrastructure, integration, and development. The cost is amazing for someone on budget. I totally recommend it for students and professionals alike.
9 June 2026
Reply from Runpod
Hello, thank you so much for the kind words! We're thrilled Runpod has been a great fit for learning AI infrastructure, integration, and development, and that the pricing works well for a student budget. It means a lot to hear you'd recommend it to both students and professionals. Wishing you continued success with your AI projects!
Best regards,
Runpod
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Unfortunately, based on my experience, I cannot fully rely on the serverless infrastructure for production workloads. There were multiple situations where capacity seemed too low, instances were slow to start, or did not start properly at all. This makes it risky for real production use cases where stability, predictable scaling, and fast startup times are critical.
The platform is promising and can be useful for experiments, prototypes, or non-critical workloads, but for production it needs better reliability, clearer capacity guarantees, and more predictable instance availability. Improving cold starts, scaling behavior, and overall uptime would make the service much more trustworthy.
8 June 2026
Reply from Runpod
Hello, thank you for the thoughtful and detailed feedback. We're glad to hear Serverless has worked well for your experiments and prototypes, but we're sorry it hasn't met the bar for production reliability. The points you raised around capacity, cold starts, and predictable scaling are exactly the kind of feedback our team uses to prioritize improvements. We'd like to learn more about your specific workload and what happened with instance startup and scaling, so please feel free to reach out to us at help@runpod.io.
Best regards,
Runpod
Bullshit
Bullshit. I lost my data trained in pytorch. Never gonna use. they are money hungry platform. DONT RECOMEND AT ALL> Lost money.
12 June 2026
Unprompted review
Reply from Runpod
Hello, we're sorry to hear about the data loss and understand how upsetting that is, especially after putting time into training work. We'd like to understand what happened so we can look into it properly. Could you let us know more about your setup, such as whether you were using a Network Volume or a Pod's local storage, and roughly when this occurred? Please reach out to us at help@runpod.io so our team can investigate.
Best regards,
Runpod
Reply from Runpod
Hello, thank you for the kind words! We're really glad to hear you're finding the interface easy to use, and that it stands out compared to others you've tried. We appreciate you taking the time to share this!
Best regards,
Runpod
Not so good
Not so good. The pods fail after fail after fail — crash after crash after crash. They owe me at least $50.00 in credits because I’ve spent so much money getting nothing but crashed pods.
Whenever I switch them, they make excuses like, “We don’t own that container,” or “That’s not a RunPod GPU,” or “That template doesn’t belong to us.” Like, what the hell? It’s still on your platform. Regardless of the template being used, RunPod owns the platform but refuses to take accountability for their broken system.
8 June 2026
Unprompted review
Reply from Runpod
Hello, we're sorry to hear about the repeated pod crashes and the frustration with the responses you received, that's not the experience we want anyone to have. We'd like to look into the crashes you encountered and the credit request directly. Could you reach out to us at help@runpod.io with details on the pods and templates involved, along with approximate timeframes? We'll have someone take a closer look.
Best regards,
Runpod
Excellent platform
Excellent platform backed by an outstanding support team. I experienced a brief issue, but they addressed it immediately. It's rare to find such responsive and fair customer service.
1 June 2026
Reply from Runpod
Hello, thank you for sharing this! We're really glad our support team could resolve your issue quickly, and it means a lot to hear that the responsiveness stood out to you. We'll pass along your kind words to the team!
Best regards,
Runpod
Not worth it, too much hassle
Okay, so lets say you want to deploy serverless. You go and choose something and deploy it. But wait, if you want storage, you need them to be in the same region, so you go to storage, look at the available locations (keep in mind a lot of locations don't have storage, only gpus), then reference the availability of gpus in that location. You deploy it. Next day everything is unavailable. Price is higher than other platforms, not really worth it. If I look at logs for a container, then something crashes it just closes those logs and you cannot see what happened. Also the time it takes for the information to update is really bad even with good connection. Absolutely not worth it.
5 June 2026
Unprompted review
Reply from Runpod
Hi there,
Thank you for taking the time to share your feedback.
We’re sorry to hear that your experience with Runpod has been frustrating. We understand how disappointing it can be when you’re trying to deploy quickly and run into challenges with storage availability, regional capacity, logging, and platform responsiveness.
The points you’ve raised are valuable feedback. Infrastructure availability can change as demand fluctuates, and we recognize that coordinating storage and compute resources across regions can add complexity to the deployment process. We’re continually working to improve both the user experience and platform visibility so it’s easier to understand available resources and deploy reliably.
We’re also concerned by your comments regarding log visibility after crashes and delays in status updates. These are areas where troubleshooting and observability are critical, and we’d like to better understand the specific issues you encountered.
If you’re willing, please reach out to our support team at help@runpod.io with additional details about your deployment. We’d appreciate the opportunity to investigate your experience and help resolve any underlying issues.
Thank you again for your honest feedback. Input like this helps us identify where we need to improve.
Best Regards,
Runpod
The amount of money I've wasted because…
The amount of money I've wasted because a pod doesn't work, or a model or template stops downloading for no apparent reason is terrifying. Because you have to start paying long before what you want working actually starts working, mind you.
3 June 2026
Unprompted review
Reply from Runpod
Getting charged for compute while troubleshooting failed deployments or interrupted downloads is understandably frustrating.
While there can be several reasons why a pod, model, or template doesn’t complete successfully, we never want users feeling like they’re spending more time and credits debugging than actually building.
We’d appreciate the opportunity to investigate what happened in your case. If you reach out to our support team at help@runpod.io with additional details about the pod, model, or template involved, we’ll take a closer look and help determine what may have caused the issue.
Thank you for sharing your experience. Feedback like this helps us identify areas where we can improve reliability and make the platform easier to use for everyone.
Best Regards,
Runpod
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