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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 | Windows 10 |
| Processor | Intel(R) Core(TM) i3-4170 | Intel Core i7-9750H 2.6GHz |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | NVIDIA GeForce GT 730 | GTX 1660 Ti |
| DirectX | Version 11 | Version 11 |
| Storage | 15 GB available space | 15 GB available space |
| Additional Notes | Requires a GPU capable of Shader Model 4.0 & DirectX 11 | Requires a GPU capable of Shader Model 4.0 & DirectX 11 |
What are the system requirements for Happy's Humble Burger Farm on PC?
To run Happy's Humble Burger Farm on your PC, you need at least a Intel(R) Core(TM) i3-4170 processor and a NVIDIA GeForce GT 730 graphics card. For the best experience, a Intel Core i7-9750H 2.6GHz CPU and GTX 1660 Ti GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 15 GB available space of disk space, Windows 10 as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure Happy's Humble Burger Farm will run smoothly on your setup.
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What GPU do I need for Happy's Humble Burger Farm?
The minimum GPU required for Happy's Humble Burger Farm is NVIDIA GeForce GT 730. For optimal performance, a GTX 1660 Ti or better is recommended.
How much RAM does Happy's Humble Burger Farm need?
Happy's Humble Burger Farm requires at least 8 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does Happy's Humble Burger Farm require?
You need at least 15 GB available space of available storage space to install Happy's Humble Burger Farm.
Can I run Happy's Humble Burger Farm on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Happy's Humble Burger Farm. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Happy's Humble Burger Farm?
The minimum CPU for Happy's Humble Burger Farm is Intel(R) Core(TM) i3-4170. For better performance, a Intel Core i7-9750H 2.6GHz processor is recommended.