34 lines
1.4 KiB
Markdown
34 lines
1.4 KiB
Markdown
# AI/ML Examples on Kubernetes
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Welcome to the AI/ML examples section! Our goal is to provide a collection of
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community-curated, open-source reference manifests for deploying and managing
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AI/ML workloads, MLOps toolchains, and end-to-end platforms on Kubernetes.
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This area is under active development as part of a broader initiative to enhance
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the `kubernetes/examples` repository. We aim to simplify the developer and operator
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experience for AI applications on Kubernetes, promoting best practices and interoperability.
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## Vision for AI/ML Examples
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We envision this section housing examples such as:
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* Setups for distributed training frameworks.
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* Configurations for model serving solutions.
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* Blueprints for data versioning and experiment tracking integrations.
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* End-to-end MLOps platform examples.
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* "AI Kits" designed to help AI/ML experts quickly get started on Kubernetes.
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## Call for Contributions
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The success of this initiative depends on community contributions! If you have expertise
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in running AI/ML workloads on Kubernetes or ideas for valuable examples, we strongly
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encourage you to contribute.
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We are particularly interested in examples that are:
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* Educational and provide an easy start for AI/ML practitioners new to Kubernetes.
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* Modular and showcase best practices.
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* Cover a diverse range of tools and MLOps stages.
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## Current Status
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_This section is currently being populated. Check back soon for our first set of AI/ML examples!_
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