The benefit from using OpenVINO is that NVIDIA is dominating the market of GPUs and they set the price, so if I am able to run an LLM doing inference in commodity hardware, I am saving costs.
OpenVINO offers appreciated features for model comparison, testing, evaluation, and deployment. It enhances flexibility with model compatibility and effective inferencing capabilities, allowing cost savings by using commodity hardware. The straightforward setup is a plus. However, challenges like complex model conversion, slow optimization, limited integration with machine learning tools, scalability issues, and problematic software availability for devices like Raspberry Pi 4 impact usability.