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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 (64-bit) | Windows 10/11 (64-bit) |
| Processor | Intel Core i5-4460 / AMD FX-6300 | Intel Core i7-8700 / AMD Ryzen 5 3600 |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | NVIDIA GTX 760 / AMD Radeon R7 260X | NVIDIA GTX 1660 / AMD RX 580 |
| DirectX | Version 11 | Version 12 |
| Storage | 10 GB available space | 15 GB available space |
What are the system requirements for The Great Indian Safari on PC?
To run The Great Indian Safari on your PC, you need at least a Intel Core i5-4460 / AMD FX-6300 processor and a NVIDIA GTX 760 / AMD Radeon R7 260X graphics card. For the best experience, a Intel Core i7-8700 / AMD Ryzen 5 3600 CPU and NVIDIA GTX 1660 / AMD RX 580 GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 10 GB available space of disk space, Windows 10 (64-bit) as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure The Great Indian Safari will run smoothly on your setup.
What GPU do I need for The Great Indian Safari?
The minimum GPU required for The Great Indian Safari is NVIDIA GTX 760 / AMD Radeon R7 260X. For optimal performance, a NVIDIA GTX 1660 / AMD RX 580 or better is recommended.
How much RAM does The Great Indian Safari need?
The Great Indian Safari requires at least 8 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does The Great Indian Safari require?
You need at least 10 GB available space of available storage space to install The Great Indian Safari.
Can I run The Great Indian Safari on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of The Great Indian Safari. Check the official store page for Mac or Linux compatibility.
What CPU is needed for The Great Indian Safari?
The minimum CPU for The Great Indian Safari is Intel Core i5-4460 / AMD FX-6300. For better performance, a Intel Core i7-8700 / AMD Ryzen 5 3600 processor is recommended.