Different game genres put different demands on a PC. Competitive shooters lean on high frame rates and a fast CPU, while open world games and simulators lean harder on the graphics card. This helps us balance the build correctly instead of guessing.

This is one of the biggest factors in which graphics card fits. FHD is the baseline resolution, QHD is a step up in detail, and 4K is the sharpest. Higher resolutions need noticeably more GPU power.

Higher target frame rates need a stronger GPU and CPU working together. If you play competitively, chasing 240+ FPS changes the build a lot more than casual play at 60 FPS does.

Some software, like DaVinci Resolve, Blender or Unreal Engine, specifically needs NVIDIA's CUDA technology to run well. Other software does not care which brand of graphics card you use. Naming your software means we will not recommend the wrong one.

Streaming and recording add extra load on top of whatever you're playing or making, since the PC has to run the game or app and encode video at the same time. Knowing your software helps us make sure there's enough headroom for both.

A local chatbot and full model training are very different jobs for hardware. Chatbots and coding assistants mostly need enough graphics memory to fit the model. Training or fine tuning need a proper capacity check, not an off the shelf pick.

This is the software stack the AI model actually runs through, like Ollama or PyTorch. It is fine if you do not know it yet. We default toward NVIDIA hardware when it is unclear, since it has the broadest compatibility.