Running LLMs Locally in 2026: The Complete Guide to Benefits, Trade-offs, and Getting Started
In 2026, running large language models locally has become practical and cost-effective for many use cases, with open-weight models matching mid-tier cloud APIs on benchmarks and consumer GPUs capable of hosting 70B-param…