The assumption that bigger is always better in enterprise AI is breaking down. Highly optimized 8B to 14B Small Language Models (SLMs) can match or exceed 400B models on task-specific operations while slashing inference costs by 90% and running locally inside secure VPCs.
Deterministic task specialization, ultra-low latency, and complete data sovereignty.
