LitServe is a flexible serving engine for AI models built on FastAPI. Features like batching, streaming, and GPU autoscaling eliminate the need to rebuild a FastAPI server per model.
The examples featured on the litserve page include a range of applications such as large language models (LLMs), natural language processing (NLP), multimodal tasks, audio processing, vision models, speech synthesis, classical machine learning (ML) algorithms, and a media conversion API, demonstrating the versatility of litserve in deploying various machine learning models and services.
The examples featured on the litserve page include a range of applications such as large language models (LLMs), natural language processing (NLP), multimodal tasks, audio processing, vision models, speech synthesis, classical machine learning (ML) algorithms, and a media conversion API, demonstrating the versatility of litserve in deploying various machine learning models and services.