Chinese lab ZAI cuts costs 10x by adopting peer innovations like DeepSeek
PAstynome · x · 2026-08-26
The post argues that export controls may inadvertently incentivize Chinese AI labs to develop cost-reducing innovations. Citing ZAI (Zhipu) as an example, it highlights how quickly they adopted techniques from peers like DeepSeek and MoonShot, including mHC-based residual connections, DSA-like sparse attention, and linear attention. The result is a model with strong performance that uses 4.44x less KV cache and 3x fewer FLOPS, serving 10x cheaper than their previous model, demonstrating the economic efficiency of building on shared innovations.
More from Infra
- ASML CFO says US Match Act restricting DUV sales to China would backfire — pstAsiatech · 2026-10-15
- ASML sold out through 2028 but stock dips 2%; TL20 index up 57% YTD — TiernanRayTech · 2026-10-15
- Bloomberg breakdown: a 1GW Texas AI data center may need nearly $3B for overruns alone — rohanpaul_ai · 2026-10-15
- 7 System Design Algorithms to Know: Merkle Trees to CAP/PACELC — goyalshaliniuk · 2026-10-15
- MiniCPM-V 4.7 runs a 35B MoE multimodal model on phones with just 3GB memory — nevrekaraishwa2 · 2026-10-15
- Sipeed MaixStation product page goes live for edge AI dev — xlltt · 2026-10-15