2 ms·
Would always be nice, for sure, but for Deep Learning I use a big cheap box with loads of RAM and the 16GB in my M1 MBP with the 1TB SSD seems plenty good so fa
by breck 6y ago
Would always be nice, for sure, but for Deep Learning I use a big cheap box with loads of RAM and the 16GB in my M1 MBP with the 1TB SSD seems plenty good so far. I don't have use cases yet where I notice a problem (other than yeah, overhead of having to do DL jobs on a different machine).
What causes you to hit the limits? I don't do any video editing, so I could see that being a slowdown for that use case.
- _huayra_ 6y agoBeing able to locally run the integration tests for my work on my 32GB thinkpad has been a godsend during the 'rona times. If I only had 16 (or even 24) I'd have to carefully consider whether I should close Firefox to run them. These tests spin up a bunch of containers and run certain components with instrumented runtimes that take up gobs of RAM, so having a fat laptop is very useful.