然而，與DeepSeek降低成本的路線不同，Kimi K3龐大的模型對記憶體基礎設施提出了更高的要求。該模型佔用約1.4TB的記憶體，這將持續支撐對SK海力士、台積電和輝達等公司的高頻寬記憶體與先進晶片的需求。
Kimi K3即將開源其模型權重，同時阿里巴巴也展示了2.4兆參數的Qwen 3.8-Max模型。這表明先進AI模型的競爭已不再侷限於美國頂尖實驗室，這可能會對美國企業的定價能力造成壓力，同時推動AI硬體基礎設施的投資。
Moonshot AI has released Kimi K3, a 2.8 trillion-parameter model. Its focus on computing efficiency triggered a sharp decline in semiconductor stocks, mirroring the market's reaction to DeepSeek's R1 debut.
However, unlike DeepSeek's cost-reduction approach, Kimi K3's massive size places heavy demands on memory infrastructure. Occupying roughly 1.4 terabytes of memory, the model will continue to drive demand for high-bandwidth memory and advanced chips from companies like SK Hynix, TSMC, and Nvidia.
With Kimi K3's upcoming open-weight release and Alibaba's preview of its 2.4 trillion-parameter Qwen 3.8-Max model, competition in advanced AI is expanding globally. This shift could challenge US pricing power while fueling continued investments in AI hardware ecosystems.