Remoe: Towards Efficient and Low-Cost MoE Inference in Serverless Computing

The article likely presents a research paper on optimizing Mixture of Experts (MoE) models for serverless environments. The focus is on improving efficiency and reducing costs associated with inference. The use of serverless computing suggests a focus on scalability and pay-per-use models. The title indicates a technical contribution, likely involving novel techniques or architectures for MoE inference.