Computing Power Breakthrough: Bet on ByteDance's Closed Private Network or Zhipu's Open Source Living Water?
ByteDance
The article discusses two strategies for computing power in AI: ByteDance's closed private network approach and Zhipu AI's open-source model. Zhipu AI promotes the open-source model GLM-130B and emphasizes the advantages of community collaboration, while ByteDance focuses on building efficient private computing infrastructure.
The article compares two contrasting approaches to addressing computing power shortages in AI development: ByteDance's closed private network and Zhipu AI's open-source strategy. ByteDance has invested heavily in building a private computing cluster, focusing on efficiency and security but limiting external collaboration. In contrast, Zhipu AI advocates for open-source models, releasing the large language model GLM-130B to the public, encouraging community contributions, and leveraging collective innovation to accelerate progress. The article suggests that the open-source approach may offer more sustainable growth for the AI ecosystem by pooling resources and knowledge from a wider community.
Source: Zhipu GLM (GNews) —
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