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| Component | Minimum: | Recommended: |
|---|---|---|
| Processor | AMD Opteron 248 2.2Ghz 1MB L2 Cache 1.0GHz | AMD Opteron 248 2.2Ghz 1MB L2 Cache 1.0GHz |
| Memory | 1 GB RAM | 1 GB RAM |
| Graphics | Evga - GeForce 210 1GB DDR3 PCI Express 2.0 Graphics Card equivalent or greater | Evga - GeForce 210 1GB DDR3 PCI Express 2.0 Graphics Card equivalent or greater |
| Storage | 100 MB available space | 100 MB available space |
What are the system requirements for Grompula on PC?
To run Grompula on your PC, you need at least a AMD Opteron 248 2.2Ghz 1MB L2 Cache 1.0GHz processor and a Evga - GeForce 210 1GB DDR3 PCI Express 2.0 Graphics Card equivalent / greater graphics card. For the best experience, a AMD Opteron 248 2.2Ghz 1MB L2 Cache 1.0GHz CPU and Evga - GeForce 210 1GB DDR3 PCI Express 2.0 Graphics Card equivalent / greater GPU are recommended. The game also requires a minimum of 1 GB RAM RAM, 100 MB available space of disk space, — as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Grompula will run smoothly on your setup.
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What GPU do I need for Grompula?
The minimum GPU required for Grompula is Evga - GeForce 210 1GB DDR3 PCI Express 2.0 Graphics Card equivalent / greater. For optimal performance, a Evga - GeForce 210 1GB DDR3 PCI Express 2.0 Graphics Card equivalent / greater or better is recommended.
How much RAM does Grompula need?
Grompula requires at least 1 GB RAM of RAM. The recommended amount is 1 GB RAM for the best experience.
How much disk space does Grompula require?
You need at least 100 MB available space of available storage space to install Grompula.
Can I run Grompula on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Grompula. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Grompula?
The minimum CPU for Grompula is AMD Opteron 248 2.2Ghz 1MB L2 Cache 1.0GHz. For better performance, a AMD Opteron 248 2.2Ghz 1MB L2 Cache 1.0GHz processor is recommended.