docs(conformance): update CNCF evidence for multi-platform and training#425
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yuanchen8911 merged 1 commit intoNVIDIA:mainfrom Mar 18, 2026
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Update CNCF AI Conformance evidence and submission for platform-neutral presentation with multi-intent coverage. - Set platformName to "NVIDIA AI Cluster Runtime" matching README - Add 3 SHOULD requirements (driver_runtime_management, gpu_sharing, virtualized_accelerator) to PRODUCT.yaml - Add Kubeflow Trainer (training) evidence to robust-operator.md alongside Dynamo (inference) - Add GKE cluster autoscaler evidence to cluster-autoscaling.md alongside EKS ASG - Redact cloud-provider artifacts (node names, DNS, project IDs) from all evidence files except cluster-autoscaling.md - Update headers to platform-neutral format across all evidence docs - Update submission/README.md, evidence/index.md, and cncf/index.md for consistency - Fix PRODUCT.yaml: k8sConformanceUrl, productLogoUrl (SVG) - Remove Karpenter references from docs and code - Update Kubernetes version references to v1.35 Signed-off-by: Yuan Chen <yuanchen97@gmail.com>
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…ng (NVIDIA#425) Signed-off-by: Yuan Chen <yuanchen97@gmail.com>
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Summary
driver_runtime_management,gpu_sharing,virtualized_accelerator) to PRODUCT.yamlrobust-operator.mdalongside Dynamo (inference)cluster-autoscaling.mdalongside EKS ASGcluster-autoscaling.mdfor platform-neutral presentationk8sConformanceUrl, updateproductLogoUrlto SVG, setplatformNameto "NVIDIA AICR-Enabled Kubernetes Platform"submission/README.mdand index files for consistencyCNCF submission readiness
k8sConformanceUrlset to EKS k8s-conformance entry (AICR validated on multiple conformant platforms)productLogoUrlupdated to raw SVG from CNCF landscapecluster-autoscaling.md(by design)Test plan
make testpasses (Go code change inpkg/evidence/requirements.go)