One-sentence summary
Using CCID's daily-token data over 175 trillion, steps to understand the inflection: meaning, impact, investment, and deployment judgment.
Steps
Step 1: Understand the meaning
Inference data overtaking training means AI compute shifts from training to inference, and the industry moves from building to using models.
Step 2: Watch affected areas
Inference cost, inference chips, caching and scheduling, and deployment scenarios rise in importance.
Step 3: Pair with open source
Chinese open models lead weekly usage and scale at low cost, reinforcing the inference-over-training shift.
Step 4: Guide deployment choices
Enterprises should prioritize inference cost, high-frequency scenarios and engineering, rather than chasing ever-larger models.
Sources
- Ifeng Tech (via CCTV): China's AI inference data volume overtakes training