[P] Introducing BentoML 1.0 - A faster way to ship your models to production

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • Yatai

    Model Deployment at Scale on Kubernetes 🦄️

  • Introducing Yatai for BentoML: Production-first ML platform on Kubernetes

  • BentoML

    The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

  • Github Page: https://github.com/bentoml/BentoML

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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