Topic: Mining VS Rendering - page 2. (Read 6966 times)

I have GPUs lot more powerful than 1060s..but less then 100,maybe you have different minimum requirements for different graphic cards?

No, They explained it earlier, They will use mining as a backup, So when there won't be any jobs running, The software will mine for you. Expect most of the time being spent on mining. An Average commercial would take a mere hour or two to render with 100 GPUs. As I said in my previous post Unless they land every single Animation studio out there, there isn't much stuff to render.

It has always been interesting why the major well-known companies are going to cooperate with still dubious projects ?! After all, in fact, GigaWatt takes on the main burden, in this situation. Their equipment and capacity is used.      

Basically none right now! They are just another ICO trying to grab money. Unless they manage to land every single AAA animation studio out there to use their "Revolutionary" app for rendering. Most of the GPUs listed on the software will be sitting idle. Plus it doesn't make any sense to me why Any AAA Animation studio would use them in the first place. If they are going to pay $11,000 for an hour of rendering. Imagine the Scene of "Frozen (Castle Scene) " which took 72 hours to render will cost them $792,000. Also, keep in mind There are some effects which only CPUs can compute. So this "rendering" will be only effective for scenes which take advantage of GPUs mostly.

Plus they have failed to respond to my previous question, which makes me believe they are here to just grab the money.

You got it right. If you have used or checked rendering task are done you will find it very fascinating. It's like applying a coat to the bare particular. The advanatage of using Leonardo it takes seconds to render a single image, and mere minutes to render one second of animation. Not only does Leonardo provide the fastest cloud-based rendering process on the planet, but it also provides the most flexibility - users will be able to select the amount of GPU’s employed in the completion of their render. The more GPU’s selected, the faster the render will complete.

I think there will be restrictions as it's the beta version and there gonna be many bugs that are yet to be discovered. Upon checking their roadmap i found that they have delivered the Beta version One Month in advance than was mentioned. I don't think they will allow mining currently or else peoples will jump for the free service haha.

i didn't see any discussion on this, wouldn't the 20 series cards be better for rendering?

Going through the thread now, I'm on the West coast of the US, got 100 gpu's (mix of 1060's, 570/580s) and a dozen fpga's.

Yes, that's the point mate! If we had to go out, purchase a brand new GPU and then start rendering, waiting for long hours for a single frame to render then there won't be no necessity for LEOS. We can use their GPU's to do the rendering part relaxing back at home. The more GPU’s selected, the faster the render will complete.

Interesting project to say the least. Looks like Golem has a competitor. From what I have studied and tested GeePeeU PCI bandwidth isn't an issue for rendering as compared to AI training. I got the following results.

Vray Benchmark:
https://benchmark.chaosgroup.com/gpu/details?hw=Intel%28R%29+Core%28TM%29+i5-2300+CPU+%40+2.80GHz+x4%2C+GeForce+GTX+1070+8192MB+x4&id=16244

System Specs: i5 2300
Ram: 10 GB
GPUs: 4 x 1070s

The difference is of +/- 2 seconds. Keep in mind I used a PCI-express 4x Splitter and these results are from a single PCI-lane.

Here is another result from octane bench:


I saw a 10% performance loss while using the "splitter". Still isn't that much IMO.

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What I am more interested in is why they are worried about the latency issues and how golem will tackle it. From what I have researched there are plugins already available for connecting up multiple machines for rendering in a LAN environment. Are you guys using one of these? That's the only logical explanation for me to not accept people with less than 100 GPUs. Cause their "software" isn't made to do rendering on the global scale i.e is to split up the task and send it around the globe to an average user/miner.

Also, what will happen with GPUs who will stand idle for most cases? Are you going to support mining as a backup for them? I can't imagine these GPUs are being used 24/7 unless you have managed to land every single Animation studio on the planet to use your service, which I highly doubt at this stage.

I'm afraid that this is not enough (for a qualitative rendering you need a certain capacity of at least 100 GPU. Perhaps you should find a company and merge for a common goal)      

Hi, Is it Possible to join with 8 GPUs ?