Summary:
- KVCached is a new machine learning library that helps enable a virtualized, elastic key-value cache for serving large language models (LLMs) on shared GPUs.
- This technology allows multiple LLM models to efficiently share the same GPU hardware, improving utilization and reducing costs.
- KVCached uses caching techniques and virtualization to ensure each LLM model has the data it needs without interfering with other models running on the same GPU.