Hmm, am I seeing this correctly that the system does receive emails only via IPv4 and no IPv6? This would make the SPF check somewhat misleading as it only checks one option.
Price wise the offering is not great (though not horrible either). Without any discounts (longer commitments or volume) you can rent e.g., RTX3090s for 1.30$/hr at genesiscloud.com.
Those GPUs are hosted in proper datacenters, have fast and stable internet connections, and non of the security issues mentioned in the other comments.
It seems to me that you are attempting to position yourself mostly via your pricing while you might have much better chances highlighting ease of use.
Purely price driven users do have better alternatives but those driven not entirely by price but also convenience is who you want to capture.
As long as you want to create many small images (like 512x512) you can spread it over multiple GPU.
A friend is running cloud instances with up to 8x GPU and 8x stable infusion + api in parallel. He uses simple a simple round robin with a reverse proxy in front to spread the work.
AFAIK there is no feasible method to spread work on the same image over multiple GPU yet.
On my gaming desktop I need ~8s with my RTX3080 card. As I quite regularly run out of vram I rented myself a VM with a dedicated RTX3090 on Genesis Cloud which does the same in ~5s.
I can usually do 3x 512x512 in a single batch with the 24G of vram.
As mentioned in a sibling comment those services are relatively expensive.
If you don't mind ~30 minute one time setup you can get stable diffusion up and running incl. a nice webinterface on basically any cloud provider offering GPUs. I used https://rentry.org/GUItard as a guide and adopted it slightly for my needs.
As my desktop only has a RTX3060 I am renting a GPU instance on Genesis Cloud (billed by the minute and no cost while instance is stopped) using a RTX3090 with 24 GB of vram.
Curious about Tenstorrent.
Did you ever get your hands on any of their hardware? We are just getting excuses from them since several months and have not yet received even a single unit for evaluation.
Some questions come to mind I'd like to see answered before signing up:
* How does the platform ensure safety of the data? Where will it be hosted?
* Are any resources shared?
* Will there be a selection of different GPU available or is the assumption that one size will fit all?
* How does it differ from other GPU cloud providers that offer ready to use Jupyter notebooks? (E.g. https://support.genesiscloud.com/support/solutions/articles/... or https://saturncloud.io/)
> It's a little hard for me to believe that there are IPv6-only users out there
Why is this hard to believe?
IPv4 ran out a while ago depending on which part of the world you are in.
New networks do no longer get IPv4 by default. Some can get very small allocations that are barely enough to operate nat64 gateways for a few thousand users.
Quite a few networks decided to not invest in legacy IP any more and better spend their (limited) resources on other activities.
When your initial goal was to find cheap GPU instances did you look at Genesis Cloud ( https://www.genesiscloud.com/ )?
They currently offer Nvidia 1080ti and apparently soon RTX3080 and RTX3090 plus some AMD types.