What are the system requirements for Tactical Assault VR - Operation: Dahlia DLC on PC?

Component Minimum:
OS Windows 10
Processor Dual Core with Hyper-Threading
Graphics Nvidia GeForce GTX 970 / AMD RX 480 equivalent or higher.
Storage 14 GB available space
Additional Notes Broadband Internet connection

What are the system requirements for Tactical Assault VR - Operation: Dahlia DLC on PC?

To run Tactical Assault VR - Operation: Dahlia DLC on your PC, you need at least a Dual Core with Hyper-Threading processor and a Nvidia GeForce GTX 970 / AMD RX 480 equivalent. graphics card. For the best experience, a — CPU and — GPU are recommended. The game also requires a minimum of — RAM, 14 GB available space of disk space, Windows 10 as your operating system, and DirectX —. Check the full specification table above and compare it with your hardware to make sure Tactical Assault VR - Operation: Dahlia DLC will run smoothly on your setup.

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What GPU do I need for Tactical Assault VR - Operation: Dahlia DLC?
The minimum GPU required for Tactical Assault VR - Operation: Dahlia DLC is Nvidia GeForce GTX 970 / AMD RX 480 equivalent.. For optimal performance, a — or better is recommended.
How much RAM does Tactical Assault VR - Operation: Dahlia DLC need?
Tactical Assault VR - Operation: Dahlia DLC requires at least — of RAM. The recommended amount is — for the best experience.
How much disk space does Tactical Assault VR - Operation: Dahlia DLC require?
You need at least 14 GB available space of available storage space to install Tactical Assault VR - Operation: Dahlia DLC.
Can I run Tactical Assault VR - Operation: Dahlia DLC on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Tactical Assault VR - Operation: Dahlia DLC. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Tactical Assault VR - Operation: Dahlia DLC?
The minimum CPU for Tactical Assault VR - Operation: Dahlia DLC is Dual Core with Hyper-Threading. For better performance, a — processor is recommended.
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