Re:Apple's follow-up to M1 chip goes into mass production fo...
by efxhoy on Tuesday April 27, 2021 @07:26PM
(#26963373)
I have 128GB in my desktop, which is the same amount of ram that our cluster compute nodes have. I use it for Python/pandas forecasting work.
The extra ram in my machine means I can work on the same datasets we use in prod locally, which is a huge productivity boost. Most of our developer time is actually spent building datasets. loading a random sample doesn’t really work when doing time series or spatial transforms and using a time or space limited subset makes description (graphs, maps) a chore. More ram is a huge productivity enabler when working with in memory tools like pandas.
The extra ram in my machine means I can work on the same datasets we use in prod locally, which is a huge productivity boost. Most of our developer time is actually spent building datasets. loading a random sample doesn’t really work when doing time series or spatial transforms and using a time or space limited subset makes description (graphs, maps) a chore. More ram is a huge productivity enabler when working with in memory tools like pandas.