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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | Core i5-6500 GPU | Core i5-6500 GPU |
| Memory | 8 GB RAM | 8 GB RAM |
| Graphics | NVIDIA GeForce GTX 950 | NVIDIA GeForce GTX 950 |
| DirectX | Version 11 | Version 11 |
| Storage | 660 MB available space | 660 MB available space |
What are the system requirements for Machina of the Planet Tree -Unity Unions- on PC?
To run Machina of the Planet Tree -Unity Unions- on your PC, you need at least a Core i5-6500 GPU processor and a NVIDIA GeForce GTX 950 graphics card. For the best experience, a Core i5-6500 GPU CPU and NVIDIA GeForce GTX 950 GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 660 MB available space of disk space, — as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure Machina of the Planet Tree -Unity Unions- will run smoothly on your setup.
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What GPU do I need for Machina of the Planet Tree -Unity Unions-?
The minimum GPU required for Machina of the Planet Tree -Unity Unions- is NVIDIA GeForce GTX 950. For optimal performance, a NVIDIA GeForce GTX 950 or better is recommended.
How much RAM does Machina of the Planet Tree -Unity Unions- need?
Machina of the Planet Tree -Unity Unions- requires at least 8 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does Machina of the Planet Tree -Unity Unions- require?
You need at least 660 MB available space of available storage space to install Machina of the Planet Tree -Unity Unions-.
Can I run Machina of the Planet Tree -Unity Unions- on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Machina of the Planet Tree -Unity Unions-. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Machina of the Planet Tree -Unity Unions-?
The minimum CPU for Machina of the Planet Tree -Unity Unions- is Core i5-6500 GPU. For better performance, a Core i5-6500 GPU processor is recommended.