1 مستودع
Orchestrates multiple models into inference graphs for chaining and ensemble operations.
Distinct from Model Ensembling: Distinct from Model Ensembling: focuses on graph-based orchestration of ensembles within inference pipelines rather than general model combination techniques.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Inference Graph Ensembles. Refine with filters or upvote what's useful.
KServe is an open platform for deploying and serving generative and predictive AI models on Kubernetes. It defines inference services as custom resources with declarative YAML specifications, enabling a Kubernetes-native approach to model deployment and lifecycle management. The platform leverages Knative-based serverless scaling for automatic scale-to-zero and revision management, and supports a pluggable serving runtime architecture that maps model formats to containerized execution environments. KServe distinguishes itself through model-aware autoscaling that scales replicas based on token
Orchestrates multiple models into inference graphs for chaining and ensemble operations.