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

Post by rat9988 » Tue, May 16, 2023, 3:39 PM UTC

moralestapia wrote: post #62

late2part wrote: post #53

Earlier quoted context omitted.

Given a relative amount of benefit, with a ratio of Watts/Benefit, a lower ratio of Watts/Benefit should cost less to the consumer. So the consumer would care because the service is lower cost.

I'm truly confused by your argument and @pjlegato's ... It's more expensive to rent a GPU than to buy it. This whole comment thread started because GP wrote: >Remember retail GPUs are much more powerful, much cheaper and much more available than cloud GPUs. So, still, why would a consumer care about performance per watt?

Post by oblivuslimited » Tue, May 16, 2023, 3:56 PM UTC

KomoD wrote: post #72

I suggest using vast.ai instead, much cheaper than this. "oblivus": 1x RTX A5000 for $0.84/hr vast: 4x RTX A5000 for $1.08/hr, 1x RTX A5000 for $0.20/hr, and much better and larger selection.

Post by modeless » Tue, May 16, 2023, 4:02 PM UTC

andrewstuart wrote: post #9

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.

Post by oblivuslimited » Tue, May 16, 2023, 4:13 PM UTC

KomoD wrote: post #76

oblivuslimited wrote: post #73

Earlier quoted context omitted.

This is a duplicate, so I'm pasting my previous answer here as well. "They operate a model known as a "marketplace" or "community" cloud. Unlike us, they utilize servers hosted by individuals in their homes. This is something completely different. While they may offer lower prices, the infrastructure may have limitations in terms of reliability, scalability, and security compared to data center-based providers. Addit…

Once again, no, not just individuals in their homes

Post by anonymousDan » Tue, May 16, 2023, 4:18 PM UTC

yanslookup wrote: post #52

oblivuslimited wrote: post #41

Earlier quoted context omitted.

Thank you for your question! Firstly, unlike AWS, GCP, or Azure, there are no restrictions on the number of GPUs you can deploy with us. As long as you have sufficient account balance, you can deploy hundreds of GPUs simultaneously. In terms of availability, we maintain a diverse range of resources from various vendors in our on-demand stock. While we have our own infrastructure, we also leverage infrastructure from…

> you can deploy hundreds of GPUs simultaneously. > with over 2600 of them available for deployment. guessing you mean 2600 in total. FWIW we ran a workload recently on AWS that required a few thousand g4 instances in a single AWS region. We ended up scavenging and using g3s as well due to capacity constraints.