Shypd.aiThe largest open index of AI toolsYatai is an open-source DevOps & Infrastructure tool that provides model deployment at scale on Kubernetes. It seamlessly integrates BentoML services into GitOps workflows for deploying and scaling machine learning models.
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Yatai (屋台, food cart) is a Kubernetes deployment operator specifically designed for BentoML, enabling model deployment at scale. It allows DevOps teams to seamlessly integrate BentoML services into their existing GitOps workflows, facilitating the deployment and scaling of machine learning models on any Kubernetes cluster. Yatai is cloud-native and DevOps-friendly, utilizing a Kubernetes-native workflow with its BentoDeployment CRD (Custom Resource Definition). This approach makes it easy to fit BentoML-powered services into existing operational pipelines. The tool provides documentation for installation and offers a quick tour to try it locally in a minikube cluster, along with components for image building and deployment.
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Open Source
Free
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