what is workers parameter in word2vec in NLP

Question

in below code . i didn't understand the meaning of workers parameter . model = Word2Vec(sentences, size=300000, window=2, min_count=5, workers=4)

Answer 1

workers = use this many worker threads to train the model (=faster training with multicore machines).

If your system is having 2 cores, and if you specify workers=2, then data will be trained in two parallel ways.

By default , worker = 1 i.e, no parallelization