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Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

oblivus.com

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Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#11

Lots of people seem to think they have no choice but to rent GPUs from cloud service providers. Remember retail GPUs are much more powerful, much cheaper and much more available than cloud GPUs. Just go to the store and buy one.

Thank you for sharing your thoughts.

Acquiring the latest technology, such as an A100 GPU, individually from a store can indeed be quite expensive, with prices around $10,000 per unit. Additionally, setting up and maintaining a home lab to scale from one GPU to thousands can be a significant investment in terms of both cost and resources.

In contrast, our platform provides access to the latest GPU technology without the need for users to individually purchase and manage the hardware. We offer the scalability to deploy multiple GPUs as needed and scale back down when required, making it a more cost-effective and flexible solution compared to setting up and maintaining a personal lab.

Furthermore, it's important to note that our GPUs are directly dedicated to each virtual machine, ensuring that the power and performance are not compromised by sharing resources. This ensures that our GPUs provide the full capability and performance expected, making them just as powerful as individual units.

Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#12
post #10

Earlier quoted context omitted.

Thank you for your questions, and I apologize for any confusion caused. We offer two types of virtual machines: GPU-based and CPU-based. The pricing structure differs slightly for each. For GPU-based VMs: The vCPU/GPU and RAM/GPU ratio is set at a minimum of 1-to-1. This means that if you deploy a VM with one GPU, you will need at least 1 vCPU and 1GB of RAM. As our platform is fully customizable, we bill you for the…

I think you should have the calculator on the pricing page for everyone, near the top. It would be a good marketing tool to help people decide to sign up.

Definitely a great idea, we will do it in the near future. Thank you once again!

Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#14

Lots of people seem to think they have no choice but to rent GPUs from cloud service providers. Remember retail GPUs are much more powerful, much cheaper and much more available than cloud GPUs. Just go to the store and buy one.

Thank you for sharing your thoughts. Acquiring the latest technology, such as an A100 GPU, individually from a store can indeed be quite expensive, with prices around $10,000 per unit. Additionally, setting up and maintaining a home lab to scale from one GPU to thousands can be a significant investment in terms of both cost and resources. In contrast, our platform provides access to the latest GPU technology without…

In the tests I’ve done, retail GPUs are much faster than data center GPUs.

Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#15

Lots of people seem to think they have no choice but to rent GPUs from cloud service providers. Remember retail GPUs are much more powerful, much cheaper and much more available than cloud GPUs. Just go to the store and buy one.

Then I'd only have one. Instead, I can borrow a dozen of them and use them in parallel and I'll return them when I'm done. I don't know how many I'll need, or for how long, and cloud enables my bad habit of not planning.

Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#17

Earlier quoted context omitted.

Thank you for sharing your thoughts. Acquiring the latest technology, such as an A100 GPU, individually from a store can indeed be quite expensive, with prices around $10,000 per unit. Additionally, setting up and maintaining a home lab to scale from one GPU to thousands can be a significant investment in terms of both cost and resources. In contrast, our platform provides access to the latest GPU technology without…

In the tests I’ve done, retail GPUs are much faster than data center GPUs.

Would you be so kind to post these results? How much faster, which models etc.

Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#18

Earlier quoted context omitted.

Thank you for sharing your thoughts. Acquiring the latest technology, such as an A100 GPU, individually from a store can indeed be quite expensive, with prices around $10,000 per unit. Additionally, setting up and maintaining a home lab to scale from one GPU to thousands can be a significant investment in terms of both cost and resources. In contrast, our platform provides access to the latest GPU technology without…

In the tests I’ve done, retail GPUs are much faster than data center GPUs.

We use the same graphic buses, such as SXM4 and PCI Express 4.0 x 16, as you would find in your system. Theoretically, there should be no difference in performance or compatibility at all.

If you have conducted your tests on shared instances and have observed such differences, then it's understandable. However, I want to emphasize once again that we provide dedicated virtual machines, which means that the resources are exclusively allocated to each user and not shared.

Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#19

Earlier quoted context omitted.

In the tests I’ve done, retail GPUs are much faster than data center GPUs.

Would you be so kind to post these results? How much faster, which models etc.

I found some charts here showing A100 roughly doubling a 3090: https://bizon-tech.com/blog/best-gpu-for-deep-learning-rtx-3...

With the 4090 being a fair amount more powerful, it might give the a100 a challenge for about 10% of the cost. That’s still about 10k hours of renting one with this service though.

Re: Show HN: Oblivus GPU Cloud – Affordable and scalable GPU servers from $0.29/hr

#20

Earlier quoted context omitted.

In the tests I’ve done, retail GPUs are much faster than data center GPUs.

We use the same graphic buses, such as SXM4 and PCI Express 4.0 x 16, as you would find in your system. Theoretically, there should be no difference in performance or compatibility at all. If you have conducted your tests on shared instances and have observed such differences, then it's understandable. However, I want to emphasize once again that we provide dedicated virtual machines, which means that the resources a…

> Theoretically, there should be no difference in performance or compatibility at all.

At least in the past there was a tendency by NVIDIA to run their professional GPUs at a lower frequency, offering reliability and correctness guarantees as tradeoff. Meanwhile most of the retail/gaming GPUs came overclocked and almost outright guaranteeing that they would start to crash and fail if you tried to run them 24/7.

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