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I really appreciate everything in the "Unsolicited Advice" in the AI Battlefield section [1]. It's a very realistic take on the frenetic pace of everything and the emotional tax that comes with feeling like one is always drowning in the relentlessly rapid advance of AI development.
Thanks!
[1] https://github.com/stas00/ml-engineering/blob/master/insight...
Slurm is absolutely ubiquitous in the high-performance computing (HPC) community. I believe its only similar competitors in the HPC space are the SGE [1] and Torque/PBS [2] resource schedulers.
I'm not sure of the exact numbers, but I would guess that an overwhelming majority of the Top 500 Supercomputers are running Slurm. And as others have noted, research computing centers in academia all mostly run Slurm. And Slurm also dominates in the DoE national labs in the US.
[1] https://en.wikipedia.org/wiki/Oracle_Grid_Engine
[2] https://github.com/adaptivecomputing/torque
[3] https://www.top500.org/
Yes, I think this is very tractable for a first project. I've played around with using AI to do optical-only with pose detection models -- if I had to do it again, I would probably start with this model and try to get it running locally:
https://github.com/facebookresearch/co-tracker
This sounds like a perfect place for you to get started!