Privacy concerns and latency issues drive a growing movement toward Local AI. Developers are shifting from cloud APIs to on-device execution to secure sensitive data. This trend requires optimized small language models that run on consumer hardware. Practitioners must now balance raw model power against the strict memory constraints of local deployment.