4 ms·

2 x 3090FE is the best bang for your buck.

• cinntaile 5y ago
  Do you need watercooling to keep them from running too hot?
  • maxwells-daemon 5y ago
    I use 2x3090 to train large language models, and mine don't thermal-throttle with air cooling even though they're right next to each other. Eth mining does generate too much heat though.
  • kkielhofner 5y ago
    You can tweak the power limit settings for your application. In many cases you can drop the power consumption (and heat generated) while still maintaining > 90% performance but this will depend on your actual use case [0]. In my experience for many models you can reduce the power limit even further than what has been tested in this guide while barely impacting performance. [0] https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/#Power_Limiting_An_Elegant_Solution_to_Solve_the_Power_Problem https://timdettmers.com/2020/09/07/which-gpu-for-deep-learni...
  • lvl100 5y ago
    For ML? Nope. I think overheating issues are mostly for mining. I run models and 3D render quite a bit and never ran into problems.