VRAM requirements genuinely vary enormously by workload — gaming, content creation, and local AI inference each have real, meaningfully different needs, worth matching your actual use case rather than simply buying “as much as possible.”
Gaming
- 1080p — 8GB is genuinely comfortable for the vast majority of current titles at high settings
- 1440p — 12GB is a genuinely reasonable, comfortable target for most current and near-future titles
- 4K — 16GB+ increasingly matters, particularly for the newest titles with genuinely high-resolution texture packs enabled
Content Creation
Video editing and 3D rendering workloads can genuinely be VRAM-hungry, particularly at higher resolutions (4K/8K video) or with genuinely complex 3D scenes — professional workflows frequently benefit meaningfully from 16GB or more, well beyond typical gaming-focused recommendations.
Local AI Inference: The Most VRAM-Hungry Common Use Case
A quantized 7B parameter LLM genuinely needs roughly 5-6GB of VRAM A quantized 13B parameter LLM genuinely needs roughly 8-10GB A quantized 34B parameter LLM genuinely needs roughly 20GB+ For running local AI models specifically, VRAM capacity is very frequently the binding, limiting constraint - well beyond what typical gaming or general productivity workloads genuinely need
If local AI experimentation is even a possible future consideration alongside gaming, buying meaningfully more VRAM than pure gaming needs alone would suggest is genuinely worth the extra cost — VRAM capacity, unlike most other GPU specs, generally cannot be upgraded later without replacing the entire card.