Shypd.aiThe largest open index of AI toolsKServe is an open-source platform for deploying and managing generative and predictive AI inference on Kubernetes. It supports multi-framework models and offers features like autoscaling and model explainability.
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KServe is a standardized, distributed platform designed for deploying both generative and predictive AI inference models on Kubernetes. It offers a unified solution for managing AI workloads, from quick deployments to enterprise-scale applications. Key features for generative AI include optimized backends for LLMs (vLLM, llm-d), OpenAI-compatible inference protocols, GPU acceleration, intelligent model caching, KV cache offloading, and request-based autoscaling. For predictive AI, KServe supports multiple frameworks like TensorFlow, PyTorch, scikit-learn, and XGBoost, along with intelligent routing, advanced deployments like canary rollouts, and model explainability. It also provides advanced monitoring capabilities and cost efficiency through scale-to-zero functionality.
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