Buyer's Guides

Every guide ranks 5 to 7 GPUs against a specific scenario — a model family (Llama 4, Gemma 4, Qwen 3.6, DeepSeek), an inference framework (Ollama, LM Studio, vLLM, llama.cpp), or a budget ceiling — and ends with a clear primary pick plus a budget runner-up and a stretch upgrade.

We assume readers already know that more VRAM is generally better. The interesting question is what tier is enough for the workload, where you stop getting useful speed gains, and where the used market beats a new mid-tier card. Decisions like 'used 3090 versus new 4060 Ti for 13B models' get a real recommendation, not a 'depends on your needs' cop-out.

Prices in every guide are checked against major retailers within the last month and the body includes a freshness signal. If a recommendation drifts (a card discontinues, a price collapses, a model release reshuffles VRAM math), the guide is revised in place — we do not pile up dated 'Top 10 best GPUs 2023' archive pages.