**My goal:** I would like to calculate word embeddings in a fast way. So definitely performing calculations using one cpu core is not sufficient.

I would like to run calculations on multiple CPU cores.

**Question** How to run calculations on multiple CPU cores? `terms.train-vectors`

seems to have just one parameter that is related to this problem. I mean `--n-workers`

parameter.

The above screenshot was made on AWS c5.12xlarge instance (48 vCPUs, 96 Gb RAM). `--n-workers`

parameter was equal to 4. So just one vCPU was used.