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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 64 Bit | Windows 10 64 bit |
| Processor | INTEL CORE I5-4460 or AMD FX-8350 | Intel Quad Core i5-9400 or AMD Ryzen 5 3500 |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | Nvidia GeForce GTX 780 (3 GB) or AMD Radeon R9 290 (4GB) | Nvidia GeForce GTX 1060 (6 GB) or AMD Radeon RX 580 (8GB) |
| DirectX | Version 11 | Version 11 |
| Storage | 16 GB available space | 16 GB available space |
| Additional Notes | Windows Compatible Audio Device | Windows Compatible Audio Device |
What are the system requirements for PHYAKH on PC?
To run PHYAKH on your PC, you need at least a INTEL CORE I5-4460 / AMD FX-8350 processor and a Nvidia GeForce GTX 780 (3 GB) / AMD Radeon R9 290 (4GB) graphics card. For the best experience, a Intel Quad Core i5-9400 / AMD Ryzen 5 3500 CPU and Nvidia GeForce GTX 1060 (6 GB) / AMD Radeon RX 580 (8GB) GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 16 GB available space of disk space, Windows 10 64 Bit as your operating system, and DirectX 11. Check the full specification table above and compare it with your hardware to make sure PHYAKH will run smoothly on your setup.
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What GPU do I need for PHYAKH?
The minimum GPU required for PHYAKH is Nvidia GeForce GTX 780 (3 GB) / AMD Radeon R9 290 (4GB). For optimal performance, a Nvidia GeForce GTX 1060 (6 GB) / AMD Radeon RX 580 (8GB) or better is recommended.
How much RAM does PHYAKH need?
PHYAKH requires at least 8 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does PHYAKH require?
You need at least 16 GB available space of available storage space to install PHYAKH.
Can I run PHYAKH on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of PHYAKH. Check the official store page for Mac or Linux compatibility.
What CPU is needed for PHYAKH?
The minimum CPU for PHYAKH is INTEL CORE I5-4460 / AMD FX-8350. For better performance, a Intel Quad Core i5-9400 / AMD Ryzen 5 3500 processor is recommended.