I think you '@'ed the wrong person. 
Yes, best bet is to upgrade to 64GB of RAM (or even 128GB) to give the WSL2 VM some more breathing room.
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thank you @rbs_sci, for useful recommendations.
Let see how it will play with more ram on board.
p.s.
the name was corrected accordingly.
Thank you for pointing out. 
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I have upgraded the RAM to 64GB and allocated about 54GB for WSL2.
But the error I had before with not enough memory is still there.
Traceback (most recent call last):
File “/home/david/cryosparc/cryosparc_worker/cryosparc_compute/jobs/runcommon.py”, line 2061, in run_with_except_hook
run_old(*args, **kw)
File “cryosparc_master/cryosparc_compute/engine/cuda_core.py”, line 131, in cryosparc_compute.engine.cuda_core.GPUThread.run
File “cryosparc_master/cryosparc_compute/engine/cuda_core.py”, line 132, in cryosparc_compute.engine.cuda_core.GPUThread.run
File “cryosparc_master/cryosparc_compute/engine/engine.py”, line 1084, in cryosparc_compute.engine.engine.process.work
File “cryosparc_master/cryosparc_compute/engine/engine.py”, line 346, in cryosparc_compute.engine.engine.EngineThread.compute_error
File “cryosparc_master/cryosparc_compute/engine/cuda_core.py”, line 337, in cryosparc_compute.engine.cuda_core.EngineBaseThread.ensure_allocated
pycuda._driver.MemoryError: cuMemHostAlloc failed: out of memory
Can it be that CS does not see the RAM upgrade?
How to set it then?
Thank you in advance.
Sincerely,
Dmitry
Very likely. Please see Not all the RAM available after update to CryoSPARC4 for a suggestion.
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