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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | Intel x86 compatible CPU with SSE 2GB RAM | Intel x86 compatible CPU with SSE2 3GB RAM |
| Memory | 2 GB | 3 GB |
| Graphics | DirectX 9c compatible garphics card with more than 512 MB RAM | DirectX 9c compatible garphics card with more than 512 MB RAM |
What are the system requirements for Galaxy on Fire 2 Full HD on PC?
To run Galaxy on Fire 2 Full HD on your PC, you need at least a Intel x86 compatible CPU with SSE 2GB RAM processor and a DirectX 9c compatible garphics card with more than 512 MB RAM graphics card. For the best experience, a Intel x86 compatible CPU with SSE2 3GB RAM CPU and DirectX 9c compatible garphics card with more than 512 MB RAM GPU are recommended. The game also requires a minimum of 2 GB RAM, — of disk space, — as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Galaxy on Fire 2 Full HD will run smoothly on your setup.
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What GPU do I need for Galaxy on Fire 2 Full HD?
The minimum GPU required for Galaxy on Fire 2 Full HD is DirectX 9c compatible garphics card with more than 512 MB RAM. For optimal performance, a DirectX 9c compatible garphics card with more than 512 MB RAM or better is recommended.
How much RAM does Galaxy on Fire 2 Full HD need?
Galaxy on Fire 2 Full HD requires at least 2 GB of RAM. The recommended amount is 3 GB for the best experience.
How much disk space does Galaxy on Fire 2 Full HD require?
You need at least — of available storage space to install Galaxy on Fire 2 Full HD.
Can I run Galaxy on Fire 2 Full HD on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Galaxy on Fire 2 Full HD. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Galaxy on Fire 2 Full HD?
The minimum CPU for Galaxy on Fire 2 Full HD is Intel x86 compatible CPU with SSE 2GB RAM. For better performance, a Intel x86 compatible CPU with SSE2 3GB RAM processor is recommended.