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Google open-sources k8s-aibom for AI supply chain security on Kubernetes
guardrails inference reliability
Google released k8s-aibom, an open-source Kubernetes controller that automatically detects running AI runtimes (such as vLLM and Triton) within container clusters and generates standardized Machine Learning Bill of Materials (ML-BOMs) in the CycloneDX format. An ML-BOM is a software supply chain inventory specifically for AI components, analogous to an SBOM for traditional software. The tool runs as an unprivileged controller, lowering the barrier for teams that want visibility into what AI software is actually running across their infrastructure.
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Google released k8s-aibom, an open-source Kubernetes controller that automatically detects running AI runtimes (such as vLLM and Triton) within container clusters and generates standardized Machine Learning Bill of Materials (ML-BOMs) in the CycloneDX format. An ML-BOM is a software supply chain inventory specifically for AI components, analogous to an SBOM for traditional software. The tool runs as an unprivileged controller, lowering the barrier for teams that want visibility into what AI software is actually running across their infrastructure.
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