# Key Factors to Consider

### Server Type

- **Vanilla**:
    
    
    - Moderate resource usage.
    - Ideal for unmodified Minecraft gameplay with few players.
    - Lacks performance optimizations, but works well for basic setups.
- **Optimized Servers**:
    
    
    - **PaperMC** and **Purpur**: 
        - Significantly reduce CPU strain and memory usage.
        - Allow more players and plugins to run smoothly on the same amount of RAM.
        - Highly recommended for plugin-heavy or high-player-count setups.
- **Modded Servers**:
    
    
    - Resource-intensive due to mods, custom worlds, and their additional data requirements.
    - Unlike optimized server types (e.g., PaperMC), these lack inherent performance improvements, making them more demanding even without mods installed.

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### Player Count

- The number of players directly affects RAM usage.
- Higher player counts increase server workload due to player actions, loaded chunks, and entity processing.
- Refer to the recommendations provided with each plan to align with your expected player base.

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### Modpacks and Plugins

- **Modpacks**:
    
    
    - Popular modpacks from platforms like CurseForge or Feed The Beast require more RAM.
    - Larger modpacks with multiple mods running simultaneously are particularly demanding.
- **Plugins**:
    
    
    - Plugins add functionality but increase memory usage, especially if they manage player data or perform intensive calculations.
- **Mods Used**:
    
    
    - Not all mods are equal in resource demand.
    - Mods like **The Twilight Forest** (dimension mods) typically use more resources than lighter mods like **Thermal Expansion** (focused on machines).

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### World Size and Activity

- - **Large Worlds**: 
        - Bigger maps require more disk space and memory for loading and storing chunks.
    - **Builds and Redstone**: 
        - Complex structures and extensive Redstone contraptions increase memory consumption.
    - **Player Exploration**: 
        - Frequent exploration generates new chunks, which can lead to significant RAM usage over time.