Running LLMs locally can be more efficient than you might expect. In our experience with enterprise teams, the key isn't just having the right hardware -it's optimizing token usage and fine-tuning with smaller, targeted datasets. This approach often outperforms cloud-based models in specific tasks and yields faster, more privacy-compliant results. Ultimately, it's about integrating these models into workflows effectively to truly harness their power. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)