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Strengths
• Direct investment from the Korea Growth Investment Corp under the 'Korean NVIDIA' strategy, providing both financial and policy backing.
• Self-developed NPU architecture offers superior energy efficiency in specific inference scenarios compared to general-purpose GPUs, creating differentiation.
Weaknesses
• Significantly weaker software ecosystem and developer community compared to NVIDIA.
• Currently small in scale, with limited production capacity and bargaining power in the supply chain.
Opportunities
• Continued global surge in demand for AI computing power in data centers, particularly the need for more cost-effective NPUs in inference scenarios.
• Rising interest in non-NVIDIA alternatives in the U.S. market, with geopolitical factors driving supply chain diversification.
Threats
• NVIDIA's overwhelming dominance in software ecosystem and hardware iteration speed.
• In-house chip development by major cloud providers (e.g., TPU, Trainium) poses a substitution threat.
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