Best Windows laptops for programming in 2026
A Windows laptop for programming in 2026 needs at least 16 GB of RAM (32 GB recommended for Docker), a fast NVMe SSD and WSL2 for a Linux terminal. If you work with local AI, LLM models or PyTorch/CUDA, you need a dedicated NVIDIA GPU.
Windows laptops for programming by profile
Portátil Core Ultra 7 / Ryzen 9
Web and backend developmentCore Ultra 7 or Ryzen 9 · 32 GB RAM · NVMe SSD · WSL2 · no dedicated GPU needed
Portátil RTX 4060 Laptop
Local AI with CUDARTX 4060 Laptop · 8 GB VRAM · PyTorch · small LLM models · stable CUDA
Portátil RTX 4070 Laptop
Serious AI + devRTX 4070 Laptop · 12 GB VRAM · mid-size models · Stable Diffusion · more CUDA power
Do I need a GPU in a laptop for programming?
For web, backend and DevOps: no
A laptop with Core Ultra 7 or Ryzen 9 and 32 GB of RAM perfectly covers any web development, backend, Docker with multiple containers and heavy builds. The GPU plays no part in this workflow: what matters is a fast CPU, plenty of RAM and an NVMe SSD.
For AI and ML with PyTorch/CUDA: yes
If you run local models with PyTorch, use Ollama, Stable Diffusion or do fine-tuning, you need an NVIDIA GPU with CUDA. The RTX 4060 Laptop is the sensible minimum: 8 GB of VRAM allows models of up to 7B parameters locally. The RTX 4070 Laptop handles mid-size models more comfortably.