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If you want to run ML tasks, a 4090 will smoke any laptop plain and simple. You get to decide about convenience of having a laptop. I wouldn’t want to deal wit
by blovescoffee 3y ago
If you want to run ML tasks, a 4090 will smoke any laptop plain and simple.
You get to decide about convenience of having a laptop. I wouldn’t want to deal with the inconvenience of a non-nvidia stack.
- threeseed 3y ago4090 has 32GB of available memory versus up to 128GB on the Mac. That allows for some training to be slow but at least possible. When you look at benchmarks the memory can make a difference especially for LLMs: https://www.reddit.com/r/LocalLLaMA/comments/16o4ka8/running_ggufs_on_an_m1_ultra_is_an_interesting/ https://www.reddit.com/r/LocalLLaMA/comments/16o4ka8/running...
- NorwegianDude 3y agoThats not true. RTX 4090s have 24GB.
- rubyn00bie 3y agoHuh? The 4090 has 24GB of RAM which is independent of the system RAM.