AI BriefingDeepSeek's $10 Trillion Grand Strategy
Key point
DeepSeek is pursuing a grand strategy that goes beyond simply selling models, aiming to build a $10 trillion Chinese AI hardware ecosystem.
Details
DeepSeek is not focused on selling immediate applications like coding plans or multimodal models. Instead, through a strategy of digging into technical fundamentals, it aims to create a $10 trillion Chinese AI hardware ecosystem and raise its own enterprise value to $1 trillion.
DeepSeek has been making the following innovative technical breakthroughs:
- Adoption of MoE (Mixture of Experts) models and efficient training
- Reducing reinforcement learning (RL) costs through development of the GRPO algorithm
- Improving reasoning capability through RLVR (Reinforcement Learning from Verified Rewards)
- Technical innovations such as MLA, DSA, CSA, HCA that reduce KV Cache requirements
- Optimizing memory and training stability through Engram and mHC
These technical achievements go beyond simply improving model performance—by enabling extremely efficient use of limited GPU resources, they contribute to raising the economics of the entire hardware ecosystem.
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