UMAP on batch data

I have a dataset consisting of more than 300M records each with around 800 features. I have broken the dataset into 1000 CSV files (each around 2.5Gig). I want to use UMAP to reduce the 800 dimensions space to a lower dimensions space (e.g., 10). Since I cannot load the whole dataset into the memory, I was wondering if there is any batch-learning approach for UMAP that receives each of my CSV files separately and output a single UMAP model.