bigscience-workshop / bigscience-workshop/petals
How can we make this work long term?
Open
- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 650
- PR merge metrics
- No merged PRs in 30d
Description
I do not understand how this can be stable since you are relying on donating memory and compute?
I would love to use this concept in production over AWS but I do not see how this will work long term unless you have some way of bartering.
For example, if I have a 10x more "powerful" computer (cpu/gpu/tpu etc) then you have to give 10 computes for every 1 of my computes.
This way the system is balanced otherwise you are relying on philanthropy which is not stable.
Is there any way to incorporate a memory/compute based economy?
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.