Partitioning an LLM between cloud and edge
Large language models (LLMs) have traditionally required significant computational resources, limiting development and deployment to powerful centralized systems like public cloud providers. However, there are innovative methods to leverage a tiered or partitioned architecture for specific business use cases without …










