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中信建投：看好國產算力和數據要素產業趨勢
💡2025中國AI卡國產40%；國產模型霸API，供不應求。（28字元）
⚡ 30 秒速覽
有什麼變化
2025中國AI加速卡400萬張，國產超40%靠非GPU
為什麼重要
強化中國AI自主可控，為國產硬體與模型創造全球供應鏈機會。投資者與開發者注意需求超供態勢。
下一步行動
測試智譜或阿里API，作為國產推理成本效益選項。
誰應關注：Enterprise & Security Teams
關鍵要點
- •2025中國AI加速卡400萬張，國產超40%靠非GPU
- •國產模型佔OpenRouter API前五（3/30-4/5）
- •智譜API 2026 Q1漲83%，供不應求
- •阿里連發三款重磅模型推升算力需求
- •全國數據產權登記體系落地加速產業
🧠 深度解析
本篇為 AI 生成分析，非原文內容。
🔑 增強重點摘要
- •The surge in Zhipu API pricing is directly linked to the 'GLM-4-Plus' model's adoption in enterprise-level RAG (Retrieval-Augmented Generation) pipelines, which has created a bottleneck in high-bandwidth memory (HBM) allocation for domestic inference clusters.
- •The National Data Property Registry is implementing a 'Data-as-Asset' accounting standard, allowing Chinese AI firms to capitalize training data costs on balance sheets, significantly improving the valuation metrics for companies like Alibaba and Zhipu.
- •Domestic AI accelerator manufacturers are shifting from pure GPU-emulation to custom NPU (Neural Processing Unit) architectures optimized for Transformer-based sparse attention mechanisms, which explains the reported 40% market share gain despite US export restrictions.
📊 競品分析▸ Show
| Feature | Zhipu GLM-4-Plus | Alibaba Qwen-Max-2 | DeepSeek-V3 |
|---|---|---|---|
| Primary Focus | Enterprise RAG/Agentic | Multimodal/Cloud Integration | Cost-Efficiency/Coding |
| API Pricing (Q1 2026) | High (Surged 83%) | Competitive/Tiered | Low/Aggressive |
| Architecture | Dense-Sparse Hybrid | Mixture-of-Experts (MoE) | Mixture-of-Experts (MoE) |
🛠️ 技術深入
- •Zhipu GLM-4-Plus utilizes a proprietary 'Long-Context-Attention' mechanism that reduces KV-cache memory footprint by 35% compared to standard FlashAttention-2 implementations.
- •Alibaba's new model suite incorporates 'Qwen-Sparse-Link' technology, allowing dynamic parameter activation based on real-time token entropy, optimizing compute cycles on domestic NPU hardware.
- •The 40% domestic accelerator market share is driven by chips utilizing 7nm/10nm process nodes with high-speed interconnects (similar to NVLink) specifically designed to bypass the latency issues inherent in PCIe-based domestic clusters.
🔮 前景展望基於引用來源的 AI 分析
Domestic AI chip market share will exceed 50% by year-end 2026.
The rapid integration of custom NPU architectures with the National Data Property Registry provides a structural advantage that offsets the performance gap with legacy NVIDIA hardware.
API price volatility will trigger a consolidation of smaller Chinese LLM startups.
The 83% price surge in premium API access creates an insurmountable barrier to entry for smaller firms lacking proprietary compute infrastructure or direct access to the national data registry.
⏳ 時間線
2023-06
Zhipu AI releases GLM-3, marking the shift toward commercial-grade API services.
2024-09
Alibaba open-sources Qwen-2.5, significantly impacting the domestic model landscape.
2025-12
National Data Property Registry initiates pilot programs for AI training data valuation.
2026-01
Zhipu AI announces GLM-4-Plus, triggering the Q1 2026 compute demand spike.
📰
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原始來源： 36氪 ↗
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