coreweave-upgrade-migration

# CoreWeave Upgrade & Migration ## Overview CoreWeave is a GPU-specialized cloud provider running Kubernetes-native infrastructure. Migrations involve upgrading between GPU instance types (A100 to H100), updating CUDA driver versions, and handling Kubernetes API version changes across namespaces. Tracking API versions is critical because CoreWeave's instance type labels and resource quotas change between platform releases, and deploying to a deprecated instance class will cause scheduling failures. ## Version Detection ```typescript import { KubeConfig, CoreV1Api } from "@kubernetes/client-node"; async function detectCoreWeaveVersion(): Promise<void> { const kc = new KubeConfig(); kc.loadFromDefault(); const k8sApi = kc.makeApiClient(CoreV1Api); // Check current namespace GPU allocations const pods = await k8sApi.listNamespacedPod("my-namespace"); for (const pod of pods.body.items) { const gpuClass = pod.spec?.nodeSelector?.["gpu.nvidia.com/class"]; const cudaVersion = pod.metadata?.labels?.["cuda-version"]; console.log(`Pod ${pod.metadata?.name}: GPU=${gpuClass}, CUDA=${cudaVersion}`); } // Detect deprecated instance types const deprecated = ["A100_PCIE_40GB", "V100_PCIE_16GB", "RTX_A5000"]; const activeGpus = pods.body.items .map((p) => p.spec?.nodeSelector?.["gpu.nvidia.com/class"]) .filter(Boolean); const stale = activeGpus.filter((g) => deprecated.includes(g!)); if (stale.length > 0) console.warn(`Deprecated GPU types in...