google-deepmind / google-deepmind/alphafold
Minimum system specifications for standalone operation?
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Description
I've got two thirds of the workflow described in the [RFDiffusion paper from David Baker's lab](https://www.biorxiv.org/content/10.1101/2022.12.09.519842v2) up and running on my home PC. I've deployed RFDiffusion itself, and ProteinMPNN. I would like to add AlphaFold.
I have concerns about whether AlphaFold will run at all on my PC. I have read some crash reports, so I am looking through the AlphaFold documents for a minimum system specification. I haven't found one.
The closest thing I found in the documentation shows one working cloud PC configuration, and some performance data. Using a [rather formidable looking virtual PC instance at Google Cloud](https://github.com/deepmind/alphafold#running-alphafold), some [fairly impressive inference speeds are achieved](https://github.com/deepmind/alphafold#alphafold-prediction-speed).
I would be happy to run 50 times slower than the rates shown, but I want to be certain that I can submit a 300-residue protein without causing a system crash.
What are the "must haves" for AlphaFold operation? I'll be happy to purchase a 4 TB SSD. I can't afford an A100 GPU. I don't know exactly how to compare the cloud computing specs to the specs for a standalone machine.
Thanks for any information you can provide.
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