The AI industry is undergoing a silent revolution that could undermine NVIDIA's dominance in the GPU market. This shift is driven by two technological advancements: algorithm slimming and dedicated inference hardware. DeepSeek's Mixture of Experts (MoE) architecture allows AI models to activate only a fraction of their parameters, significantly reducing computational power requirements. Meanwhile, companies like Cerebras and Groq are developing inference chips with embedded memory, eliminating latency issues inherent in traditional GPUs. These innovations could drastically reduce AI operational costs, with training and inference expenses potentially dropping by up to 90%. As a result, NVIDIA's market position is threatened, particularly in the inference sector, where it faces competition from specialized chipmakers. The company's recent $20 billion acquisition of Groq highlights its efforts to adapt to this changing landscape. The implications of this paradigm shift could significantly impact NVIDIA's valuation and the broader AI hardware market.