Industry Analysis
NVIDIA’s Nemotron push is a defensive escalation against customer-driven disintermediation. Technically, its open-weight models will lock AI training-inference cycles within its GPU ecosystem, forcing rivals like AMD to not only catch up in EUV-based chip manufacturing but also build software moats. On compliance, U.S. export controls on AI chips to China have already inflated global supply chain redundancy costs, while in-house models may trigger extra audits under the EU AI Act for ‘foundation model providers.’ Strategically, OpenAI will likely accelerate custom silicon deployment, while Anthropic may deepen partnerships with TSMC (Taiwan, China) to secure advanced packaging capacity. Within 18 months, the industry will bifurcate into ‘closed-source LLMs + heterogeneous chips’ versus ‘open models + vertically optimized hardware’—with NVIDIA betting the latter can use software stickiness to hedge hardware revenue volatility from geopolitical friction.
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