1. This site uses cookies. By continuing to use this site, you are agreeing to our use of cookies. Learn More.

Confused about system RAM and GPU RAM

Discussion in 'Machine Learning, Deep Learning, and AI' started by frozen, Sep 7, 2017.

  1. frozen

    frozen New Member

    Joined:
    Jul 29, 2017
    Messages:
    27
    Likes Received:
    0
    I read that DL uses the memory in the GPU. Thus, a computer with 8-16GB is good enough. However, in Kaggle, I heard people using 64, 128 or even 256GB RAM in the computer. This seems to be contradictory. Can anybody please clarify this? Is it recommended to get 64 or even 128GB RAM? Thanks
     
    #1
  2. i386

    i386 Active Member

    Joined:
    Mar 18, 2016
    Messages:
    667
    Likes Received:
    137
    I think the more ram you have the less you will need to access the persistent storage (still way slower than ram).
    For homeusers running one machine probably less important than companies running racks full with machines or clusters with shared datasets.
     
    #2
    frozen likes this.
  3. frozen

    frozen New Member

    Joined:
    Jul 29, 2017
    Messages:
    27
    Likes Received:
    0
    What is the recommended amount of RAM? 32? 64 or 128GB? I guess there is a threshold above which would be better to use cloud services.
     
    #3
Similar Threads: Confused system
Forum Title Date
Machine Learning, Deep Learning, and AI DeepLearning10 - 8x NVIDIA GTX 1080 Ti GPU System Jun 6, 2017

Share This Page