LocalLLaMA compares home GPU rigs

This is not a launch, but it is useful signal from the people actually running local inference and fine-tuning outside cloud labs.

• –Consumer and prosumer NVIDIA cards remain the practical center of gravity for local LLM work
• –Mixed-GPU benches are becoming normal because inference, embeddings, reranking, and agent workloads stress hardware differently
• –QLoRA keeps mattering because full fine-tuning is still out of reach for many home setups
• –Daily-driver model choice looks less like brand loyalty and more like task routing across coding, structured output, embeddings, and smoke tests