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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10 (x64) | Windows 10 (x64) |
| Processor | Intel Core i or AMD Ryzen with 4 physical cores | Intel Core i or AMD Ryzen with 4 physical cores |
| Memory | 8 GB RAM | 8 GB RAM |
| Graphics | Nvidia GTX 1060 or at least 6GB of VRAM | Nvidia GTX 1060 or at least 6GB of VRAM |
| DirectX | Version 12 | Version 12 |
| Storage | 60 GB available space | 60 GB available space |
| Additional Notes | Broadband Internet connection; SSD Recommended | Broadband Internet connection; SSD Recommended |
What are the system requirements for TakeDogs on PC?
To run TakeDogs on your PC, you need at least a Intel Core i / AMD Ryzen with 4 physical cores processor and a Nvidia GTX 1060 / at least 6GB of VRAM graphics card. For the best experience, a Intel Core i / AMD Ryzen with 4 physical cores CPU and Nvidia GTX 1060 / at least 6GB of VRAM GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 60 GB available space of disk space, Windows 10 (x64) as your operating system, and DirectX 12. Check the full specification table above and compare it with your hardware to make sure TakeDogs will run smoothly on your setup.
What GPU do I need for TakeDogs?
The minimum GPU required for TakeDogs is Nvidia GTX 1060 / at least 6GB of VRAM. For optimal performance, a Nvidia GTX 1060 / at least 6GB of VRAM or better is recommended.
How much RAM does TakeDogs need?
TakeDogs requires at least 8 GB RAM of RAM. The recommended amount is 8 GB RAM for the best experience.
How much disk space does TakeDogs require?
You need at least 60 GB available space of available storage space to install TakeDogs.
Can I run TakeDogs on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of TakeDogs. Check the official store page for Mac or Linux compatibility.
What CPU is needed for TakeDogs?
The minimum CPU for TakeDogs is Intel Core i / AMD Ryzen with 4 physical cores. For better performance, a Intel Core i / AMD Ryzen with 4 physical cores processor is recommended.