AI Inference Platform
5.3k 2026-04-13
kserve/kserve
KServe is a standardized, scalable, and multi-framework platform for deploying and serving both generative and predictive AI models on Kubernetes.
Core Features
Optimized serving for Generative AI models with GPU acceleration and caching.
Multi-framework support for Predictive AI, including TensorFlow, PyTorch, and scikit-learn.
Advanced deployment features like canary rollouts, inference pipelines, and intelligent routing.
Request-based autoscaling with scale-to-zero for cost-efficient resource utilization.
Built-in model explainability and advanced monitoring capabilities.
Detailed Introduction
KServe provides a unified, enterprise-grade platform for deploying and managing AI inference workloads on Kubernetes. It addresses the complexities of serving both traditional predictive models and modern generative AI models (like LLMs) by offering optimized backends, multi-framework compatibility, and advanced features such as intelligent routing, autoscaling, and model explainability. As a CNCF incubating project, KServe simplifies the operationalization of AI, making it accessible for quick deployments while robust enough for large-scale production environments.