KServe
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
KServe is a standardized distributed generative and predictive AI inference platform for scalable, multi-framework deployment on Kubernetes. For more details, visit the KServe website. Single platform that unifies Generative and Predictive AI inference on Kubernetes. Simple enough for quick deployments, yet powerful enough to handle enterprise-scale AI workloads with advanced features. Thanks to all of our amazing contributors!
Ray Serve
Based on the social mentions provided, Ray Serve appears to be well-regarded as part of the broader Ray ecosystem for distributed AI and ML workloads. Users appreciate its integration with popular tools like SGLang and vLLM for both online and batch inference scenarios, with new CLI improvements making large model development more accessible. The active community engagement through frequent meetups, office hours, and educational content suggests strong adoption and support, particularly for LLM inference at scale. The mentions focus heavily on technical capabilities and real-world production use cases, indicating Ray Serve is viewed as a serious solution for enterprise-scale AI deployment rather than just an experimental tool.
KServe
Ray Serve
KServe
Ray Serve
Pricing found: $100
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KServe
Ray Serve
