A new GitHub project titled "Waste" aims to tackle the challenges of running enormous AI models in environments with limited RAM. By leveraging a streaming mechanism to pull activated weights directly from NVMe storage, developers can execute the hefty 2. 78-trillion-parameter Kimi K3 model with...
Source: [Dev.to](https://dev.to/dd8888/waste-tackling-massive-ai-models-with-an-innovative-streaming-approach-1nf1)