Random Access Memory (RAM)
==========================

Recommended Size
----------------

Depending on the use-case, these are the recommended total size of system RAM to have.

Gaming [1][4]:

.. csv-table::
   :header: Use-case, RAM (GB)
   :widths: 20, 20

   Very old games (Windows XP), 4
   Old games (Windows 7), 8
   Modern games (Windows 10), 16

Video editing [2]:

.. csv-table::
   :header: Resolution, RAM (GB)
   :widths: 20, 20

   720p, 8
   1080p, 16
   4K, 32
   8K, 64

Machine learning (ML) [3]:

.. csv-table::
   :header: ML Workload, RAM (GB)
   :widths: 20, 20

   Minimum, 32
   Recommended, 64
   Maximum, 128

-  The RAM in a system for ML should be at least twice as much as the VRAM on the GPU. It is recommended to also round up to the closest interval of 32 GB of RAM. [3]

History
-------

-  `Latest <https://github.com/LukeShortCloud/rootpages/commits/main/src/computer_hardware/ram.rst>`__

Bibliography
------------

1. "Is Buying More RAM a WASTE for Gamers? (2022)." YouTube - Linus Tech Tips. June 16, 2022. Accessed July 13, 2022. https://www.youtube.com/watch?v=H19_JKw4QN4
2. "How Much Memory Do You Need for Video Editing?" Kingston Blog. February 2021. Accessed July 13, 2022. https://www.kingston.com/en/blog/pc-performance/how-much-memory-needed-for-video-editing
3. "Hardware Recommendations for Machine Learning & AI." Puget Systems. Accessed September 7, 2022. https://www.pugetsystems.com/recommended/Recommended-Systems-for-Machine-Learning-AI-174/Hardware-Recommendations
4. "How Much Memory Do You Need for Gaming?" July, 2021. Accessed September 29, 2022. https://www.kingston.com/en/blog/gaming/how-much-memory-for-gaming