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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 | Windows 10 |
| Processor | Intel Core i5-10400 | Intel Core i5-10400 |
| Memory | 16 GB RAM | 16 GB RAM |
| Graphics | NVIDIA GeForce GTX 1050 | NVIDIA GeForce GTX 1050 |
| DirectX | Version 12 | Version 12 |
| Storage | 50 GB available space | 50 GB available space |
| Additional Notes | SSD recommended | SSD recommended |
What are the system requirements for Daemon X Machina: Titanic Scion on PC?
To run Daemon X Machina: Titanic Scion on your PC, you need at least a Intel Core i5-10400 processor and a NVIDIA GeForce GTX 1050 graphics card. For the best experience, a Intel Core i5-10400 CPU and NVIDIA GeForce GTX 1050 GPU are recommended. The game also requires a minimum of 16 GB RAM RAM, 50 GB available space of disk space, Windows 10 as your operating system, and DirectX 12. Check the full specification table above and compare it with your hardware to make sure Daemon X Machina: Titanic Scion will run smoothly on your setup.
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What GPU do I need for Daemon X Machina: Titanic Scion?
The minimum GPU required for Daemon X Machina: Titanic Scion is NVIDIA GeForce GTX 1050. For optimal performance, a NVIDIA GeForce GTX 1050 or better is recommended.
How much RAM does Daemon X Machina: Titanic Scion need?
Daemon X Machina: Titanic Scion requires at least 16 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does Daemon X Machina: Titanic Scion require?
You need at least 50 GB available space of available storage space to install Daemon X Machina: Titanic Scion.
Can I run Daemon X Machina: Titanic Scion on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Daemon X Machina: Titanic Scion. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Daemon X Machina: Titanic Scion?
The minimum CPU for Daemon X Machina: Titanic Scion is Intel Core i5-10400. For better performance, a Intel Core i5-10400 processor is recommended.