**If you mainly vibe code with a cloud AI tool, you probably do not need an RTX laptop.** The AI model runs on remote computers, so an RTX card will not make its answers arrive faster. Cursor says its models are hosted by Cursor, a partner, or the model provider. ([Cursor documentation, accessed 2026-10-13](https://cursor.com/docs/models-and-pricing))

An RTX laptop makes sense for someone who also wants to play demanding games or run AI models on the laptop itself. Local models can work offline and give you more control over where your files go, but they need graphics memory. Ollama gives an example coding model that needs about **23 GB of VRAM** with a long context window. ([Ollama, 2026-01-23](https://ollama.com/blog/launch))

For cloud-based vibe coding, I would put the budget toward **16 GB of RAM at minimum, 32 GB if you run several apps or local development services, a comfortable screen, and good battery life**. Those RAM amounts are my buying guidance, not a requirement set by an AI tool. If you are not planning to game or deliberately run local AI, an RTX card is usually money and weight you can skip.