Enterprise AI inference costs are surging as subscriptions hit pricing walls, forcing CIOs to reconsider API dependencies. Firms are increasingly adopting Chinese models (DeepSeek, Qwen) and open-source alternatives (Llama, Mistral) to extend their AI budgets and reduce vendor lock-in.
This reflects a broader shift: proprietary API costs are pricing out mid-market and cost-conscious deployments, accelerating the move to self-hosted and alternative stacks. For NVIDIA and cloud providers, it signals pressure on hosted margins unless pricing strategies shift.