madMAx43v3r / chia-gigahorse

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When can GPU computing be transferred from harvester machine to farmer machine? #30

Open xieyusi9 opened 1 year ago

xieyusi9 commented 1 year ago

My configuration of multiple harvesters is low. If I can transfer the calculation to the farmer machine, I can start plot C8 from now on, so as to transfer all to Gigahorse Compressed Plots.

nqzhang commented 1 year ago

I have the same problem

madMAx43v3r commented 1 year ago

It's the next thing to do

xieyusi9 commented 1 year ago

@madMAx43v3r I'm waiting for this function

Jacek-ghub commented 1 year ago

Any progress? Any estimate when it will be released?

IMO this may be the most needed addition right now.

Jacek-ghub commented 1 year ago

Any updates?

We are on tn-10 right now. That decompression module would be really helpful, as we are getting closer to the mainnet. At least, in my case I don't want to purchase weaker GPUs for all harvesters, would rather use one stronger GPU that would handle both VDF processing and decompression for the whole setup.

madMAx43v3r commented 1 year ago

It's on the list yes. I know it's a great feature to have.

Jacek-ghub commented 1 year ago

Thank you. Is there any ETA for it? As mentioned, it is a make-or-break issue for me.

madMAx43v3r commented 1 year ago

Let's say two weeks

Jacek-ghub commented 1 year ago

Thank you Max, looking forward to that.

madMAx43v3r commented 1 year ago

https://github.com/madMAx43v3r/chia-gigahorse/releases/tag/v1.8.0.giga11

Jacek-ghub commented 1 year ago

Super, thank you! I will start playing with it now.

Actually, one more question. Would it be possible to offload VDF processing to that compute module as well?

madMAx43v3r commented 1 year ago

No, VDF is a different story.

Sergiosen commented 1 year ago

https://github.com/madMAx43v3r/chia-gigahorse/releases/tag/v1.8.0.giga11

Not sure how to set CHIAPOS_RECOMPUTE_HOST on the harvester?

madMAx43v3r commented 1 year ago

It's a environment variable, you can google how to set it in Linux or Windows.