- Home
- Games
- Space Nations - Battlearena
- System Requirements
Trending Searches:
| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 | Windows 10 |
| Processor | Intel Core I3 | Intel Core I5 |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | Nvidia GeForce 1050 TI | RTX Series |
| DirectX | Version 11 | Version 12 |
| Storage | 3 GB available space | 3 GB available space |
| Additional Notes | Broadband Internet connection | Broadband Internet connection |
What are the system requirements for Space Nations - Battlearena on PC?
To run Space Nations - Battlearena on your PC, you need at least a Intel Core I3 processor and a Nvidia GeForce 1050 TI graphics card. For the best experience, a Intel Core I5 CPU and RTX Series GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 3 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 Space Nations - Battlearena will run smoothly on your setup.
Buy Space Nations - Battlearena from $6.46
See deals →
What GPU do I need for Space Nations - Battlearena?
The minimum GPU required for Space Nations - Battlearena is Nvidia GeForce 1050 TI. For optimal performance, a RTX Series or better is recommended.
How much RAM does Space Nations - Battlearena need?
Space Nations - Battlearena requires at least 8 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does Space Nations - Battlearena require?
You need at least 3 GB available space of available storage space to install Space Nations - Battlearena.
Can I run Space Nations - Battlearena on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Space Nations - Battlearena. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Space Nations - Battlearena?
The minimum CPU for Space Nations - Battlearena is Intel Core I3. For better performance, a Intel Core I5 processor is recommended.