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Machine Learning Pipelines for Kubeflow.
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Open-source infrastructure for AI backends. Kubernetes for orchestration, Okta for identity—production-ready from day one.
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Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
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Helm chart for Mastodon deployment in Kubernetes
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Tool and policy library for reviewing Google Kubernetes Engine clusters against best practices
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Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
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Kubernetes-based system for hyperparameter tuning and neural architecture search.
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Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
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Standardized Serverless ML Inference Platform on Kubernetes.
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Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
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Machine Learning Toolkit for Kubernetes.
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Open-source module for running AI workloads on Kubernetes in an optimized way.
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Visual pipeline editor and workflow orchestrator with an easy to use UI and based on Kubernetes.
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A platform for reproducible and scalable machine learning and deep learning on kubernetes.
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Export ML projects to Kubernetes (Argo workflows), Airflow, AWS Batch, and SLURM.