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| Component | Minimum: | Recommended: |
|---|---|---|
| OS | Windows 10/11 (64-Bit) | Windows 10/11 (64-Bit) |
| Processor | Intel Core i5-6600@ 3.1 GHz or AMD R5 1600X @ 3.5 GHz or equivalent | Intel Core i5 10400 3.1 GHz or AMD Ryzen 5 2600x 3.1 GHz |
| Memory | 8 GB RAM | 16 GB RAM |
| Graphics | NVIDIA GeForce GTX 1650 or equivalent | NVIDIA GeForce RTX 2060 or equivalent |
| DirectX | Version 12 | Version 12 |
| Storage | 20 GB available space | 20 GB available space |
| Additional Notes | Requiere un procesador y un sistema operativo de 64 bits | Requiere un procesador y un sistema operativo de 64 bits |
What are the system requirements for G-UMP on PC?
To run G-UMP on your PC, you need at least a Intel Core i5-6600@ 3.1 GHz / AMD R5 1600X @ 3.5 GHz processor and a NVIDIA GeForce GTX 1650 graphics card. For the best experience, a Intel Core i5 10400 3.1 GHz / AMD Ryzen 5 2600x 3.1 GHz CPU and NVIDIA GeForce RTX 2060 GPU are recommended. The game also requires a minimum of 8 GB RAM RAM, 20 GB available space of disk space, Windows 10/11 (64-Bit) as your operating system, and DirectX 12. Check the full specification table above and compare it with your hardware to make sure G-UMP will run smoothly on your setup.
What GPU do I need for G-UMP?
The minimum GPU required for G-UMP is NVIDIA GeForce GTX 1650. For optimal performance, a NVIDIA GeForce RTX 2060 or better is recommended.
How much RAM does G-UMP need?
G-UMP requires at least 8 GB RAM of RAM. The recommended amount is 16 GB RAM for the best experience.
How much disk space does G-UMP require?
You need at least 20 GB available space of available storage space to install G-UMP.
Can I run G-UMP on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of G-UMP. Check the official store page for Mac or Linux compatibility.
What CPU is needed for G-UMP?
The minimum CPU for G-UMP is Intel Core i5-6600@ 3.1 GHz / AMD R5 1600X @ 3.5 GHz. For better performance, a Intel Core i5 10400 3.1 GHz / AMD Ryzen 5 2600x 3.1 GHz processor is recommended.