Local LLM Hardware guides & VRAM Optimization Guides

What hardware is required to run local LLMs?

Running local Large Language Models (LLMs) requires hardware optimized for high memory bandwidth and sufficient GPU VRAM. The absolute minimum requirement depends on model quantization, with 8GB VRAM supporting 7B parameter models, while 70B parameter models require multi-GPU configurations exceeding 48GB VRAM. Explore our technical deployment guides below.