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- System Requirements
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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | Intel Core i5-4430 / AMD FX-6300 | Intel Core i5-6600K / AMD Ryzen 5 1600 |
| Memory | 2 GB RAM | 4 GB RAM |
| Graphics | NVIDIA GeForce GTX 960 2GB / AMD Radeon R7 370 2GB | dedicated GPU with 4GB of memoryNVIDIA GeForce GTX 1060 3GB / AMD Radeon RX 580 4GB |
| DirectX | Version 11 | Version 11 |
| Storage | 400 MB available space | 400 MB available space |
What are the system requirements for Soundodger 2 on PC?
To run Soundodger 2 on your PC, you need at least a Intel Core i5-4430 / AMD FX-6300 processor and a NVIDIA GeForce GTX 960 2GB / AMD Radeon R7 370 2GB graphics card. For the best experience, a Intel Core i5-6600K / AMD Ryzen 5 1600 CPU and dedicated GPU with 4GB of memoryNVIDIA GeForce GTX 1060 3GB / AMD Radeon RX 580 4GB GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, 400 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 Soundodger 2 will run smoothly on your setup.
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What GPU do I need for Soundodger 2?
The minimum GPU required for Soundodger 2 is NVIDIA GeForce GTX 960 2GB / AMD Radeon R7 370 2GB. For optimal performance, a dedicated GPU with 4GB of memoryNVIDIA GeForce GTX 1060 3GB / AMD Radeon RX 580 4GB or better is recommended.
How much RAM does Soundodger 2 need?
Soundodger 2 requires at least 2 GB RAM of RAM. The recommended amount is 4 GB RAM for the best experience.
How much disk space does Soundodger 2 require?
You need at least 400 MB available space of available storage space to install Soundodger 2.
Can I run Soundodger 2 on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Soundodger 2. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Soundodger 2?
The minimum CPU for Soundodger 2 is Intel Core i5-4430 / AMD FX-6300. For better performance, a Intel Core i5-6600K / AMD Ryzen 5 1600 processor is recommended.