What are the system requirements for Inu : Loas'Fate on PC?

Component Minimum: Recommended:
OS Windows® 10
Processor Quad Core Processor Quad Core Processor
Memory 4 GB RAM 8 GB RAM
Graphics GeForce GTX 660, Radeon RX 460 or similar dedicated graphics card GeForce RTX 2070, Radeon RX 5700 or similar dedicated graphics card
DirectX Version 11 Version 12
Storage 4 GB available space 8 GB available space
Additional Notes Broadband Internet connection Broadband Internet connection

What are the system requirements for Inu : Loas'Fate on PC?

To run Inu : Loas'Fate on your PC, you need at least a Quad Core Processor processor and a GeForce GTX 660, Radeon RX 460 / similar dedicated graphics card graphics card. For the best experience, a Quad Core Processor CPU and GeForce RTX 2070, Radeon RX 5700 / similar dedicated graphics card GPU are recommended. The game also requires a minimum of 4 GB RAM RAM, 4 GB 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 Inu : Loas'Fate will run smoothly on your setup.

What GPU do I need for Inu : Loas'Fate?
The minimum GPU required for Inu : Loas'Fate is GeForce GTX 660, Radeon RX 460 / similar dedicated graphics card. For optimal performance, a GeForce RTX 2070, Radeon RX 5700 / similar dedicated graphics card or better is recommended.
How much RAM does Inu : Loas'Fate need?
Inu : Loas'Fate requires at least 4 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does Inu : Loas'Fate require?
You need at least 4 GB available space of available storage space to install Inu : Loas'Fate.
Can I run Inu : Loas'Fate on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Inu : Loas'Fate. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Inu : Loas'Fate?
The minimum CPU for Inu : Loas'Fate is Quad Core Processor. For better performance, a Quad Core Processor processor is recommended.
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