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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 / 11 | Windows 10 / 11 |
| Processor | Intel Core i3-2100 / AMD Phenom II X4 965 | Intel i3 8100 (3.6 GHz) / AMD Ryzen 3 2200G |
| Memory | 2 GB RAM | 4 GB RAM |
| Graphics | Nvidia 8800 GT 512MB / Radeon HD 6570 1024MB | NVIDIA GeForce GTX 650 2048MB / AMD R7 260X 2048MB |
| DirectX | Version 11 | Version 12 |
| Storage | 1 GB available space | 1 GB available space |
What are the system requirements for Hunt and Fight on PC?
To run Hunt and Fight on your PC, you need at least a Intel Core i3-2100 / AMD Phenom II X4 965 processor and a Nvidia 8800 GT 512MB / Radeon HD 6570 1024MB graphics card. For the best experience, a Intel i3 8100 (3.6 GHz) / AMD Ryzen 3 2200G CPU and NVIDIA GeForce GTX 650 2048MB / AMD R7 260X 2048MB GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, 1 GB available space of disk space, Windows 10 / 11 as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure Hunt and Fight will run smoothly on your setup.
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What GPU do I need for Hunt and Fight?
The minimum GPU required for Hunt and Fight is Nvidia 8800 GT 512MB / Radeon HD 6570 1024MB. For optimal performance, a NVIDIA GeForce GTX 650 2048MB / AMD R7 260X 2048MB or better is recommended.
How much RAM does Hunt and Fight need?
Hunt and Fight requires at least 2 GB RAM of RAM. The recommended amount is 4 GB RAM for the best experience.
How much disk space does Hunt and Fight require?
You need at least 1 GB available space of available storage space to install Hunt and Fight.
Can I run Hunt and Fight on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Hunt and Fight. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Hunt and Fight?
The minimum CPU for Hunt and Fight is Intel Core i3-2100 / AMD Phenom II X4 965. For better performance, a Intel i3 8100 (3.6 GHz) / AMD Ryzen 3 2200G processor is recommended.