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This prevention control targets another operational risk: A BCM provisioning environment discovers every compute node, yet new GPU hosts join the wrong category and receive CPU-only operating system images. The currently reported mechanism remains: Redundant managers without proper leadership arbitration can corrupt the provisioning database during network partitions.

This prevention control targets another operational risk: An operations team upgrades BCM directly in production without testing whether existing Slurm and provisioning integrations are compatible with the new management API. The currently reported mechanism remains: Redundant managers without proper leadership arbitration can corrupt the provisioning database during network partitions.

This prevention control targets another operational risk: Several AI nodes pull a moving NGC container tag at job time, producing different application libraries across otherwise identical distributed training ranks. The currently reported mechanism remains: Redundant managers without proper leadership arbitration can corrupt the provisioning database during network partitions.

This option could be appropriate for a different NVIDIA infrastructure problem (3.1: Install Base Command Manager and configure and verify high availability): Base Command Manager is installed on a management node but the cluster database is stored only on a single local disk, and leadership claims the control plane is highly available. The present issue is more specifically caused by: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This option could be appropriate for a different NVIDIA infrastructure problem (3.1: Install Base Command Manager and configure and verify high availability): An operations team upgrades BCM directly in production without testing whether existing Slurm and provisioning integrations are compatible with the new management API. The present issue is more specifically caused by: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This option could be appropriate for a different NVIDIA infrastructure problem (3.2: Install operating systems): A fleet of GPU hosts uses manually customized operating system packages, making a failed driver upgrade impossible to reproduce or roll back consistently. The present issue is more specifically caused by: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This observation would help verify a different incident: Base Command Manager is installed on a management node but the cluster database is stored only on a single local disk, and leadership claims the control plane is highly available. It does not directly establish the required result for the current case: Reimaged target nodes join the proper GPU resource category and expose the expected driver and network interface baseline.

This observation would help verify a different incident: An operations team upgrades BCM directly in production without testing whether existing Slurm and provisioning integrations are compatible with the new management API. It does not directly establish the required result for the current case: Reimaged target nodes join the proper GPU resource category and expose the expected driver and network interface baseline.

This observation would help verify a different incident: An AI cluster experiences scheduler outages whenever a compute rack is disconnected because the Slurm controller itself resides on a nonredundant compute host in that rack. It does not directly establish the required result for the current case: Reimaged target nodes join the proper GPU resource category and expose the expected driver and network interface baseline.

This underlying cause is associated with another GPU platform incident: An operations team upgrades BCM directly in production without testing whether existing Slurm and provisioning integrations are compatible with the new management API. The observed case instead concerns: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This underlying cause is associated with another GPU platform incident: An AI cluster has a functioning BCM primary and standby, but a split-brain test reveals that both managers can modify node provisioning state after losing their heartbeat. The observed case instead concerns: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This underlying cause is associated with another GPU platform incident: An operator removes the NVIDIA driver while GPU containers are still running, leaving orphaned jobs and an inconsistent module state across the node. The observed case instead concerns: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This prevention control targets another operational risk: An AI cluster has a functioning BCM primary and standby, but a split-brain test reveals that both managers can modify node provisioning state after losing their heartbeat. The currently reported mechanism remains: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This prevention control targets another operational risk: Base Command Manager is installed on a management node but the cluster database is stored only on a single local disk, and leadership claims the control plane is highly available. The currently reported mechanism remains: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This prevention control targets another operational risk: An NGC CLI client is installed on a shared administrative workstation but lacks authenticated registry configuration, so container downloads fail with permissions errors. The currently reported mechanism remains: Hardware discovery alone cannot ensure workload readiness when the control plane applies an incorrect provisioning profile.

This option could be appropriate for a different NVIDIA infrastructure problem (3.1: Install Base Command Manager and configure and verify high availability): A BCM provisioning environment discovers every compute node, yet new GPU hosts join the wrong category and receive CPU-only operating system images. The present issue is more specifically caused by: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This option could be appropriate for a different NVIDIA infrastructure problem (3.1: Install Base Command Manager and configure and verify high availability): Base Command Manager is installed on a management node but the cluster database is stored only on a single local disk, and leadership claims the control plane is highly available. The present issue is more specifically caused by: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This option could be appropriate for a different NVIDIA infrastructure problem (3.5: Install the NVIDIA Container Toolkit): A Docker AI image launches on a GPU host but reports no CUDA devices because the NVIDIA container runtime integration was never installed. The present issue is more specifically caused by: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This observation would help verify a different incident: A BCM provisioning environment discovers every compute node, yet new GPU hosts join the wrong category and receive CPU-only operating system images. It does not directly establish the required result for the current case: The postupgrade test provisions a canary GPU node and completes a scheduled workload without losing existing management or node state.

This observation would help verify a different incident: An AI cluster has a functioning BCM primary and standby, but a split-brain test reveals that both managers can modify node provisioning state after losing their heartbeat. It does not directly establish the required result for the current case: The postupgrade test provisions a canary GPU node and completes a scheduled workload without losing existing management or node state.

This observation would help verify a different incident: An engineer installs a generic OS image on newly delivered NVIDIA GPU nodes without verifying vendor-supported kernel, driver, and firmware compatibility. It does not directly establish the required result for the current case: The postupgrade test provisions a canary GPU node and completes a scheduled workload without losing existing management or node state.

This underlying cause is associated with another GPU platform incident: A BCM provisioning environment discovers every compute node, yet new GPU hosts join the wrong category and receive CPU-only operating system images. The observed case instead concerns: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This underlying cause is associated with another GPU platform incident: Base Command Manager is installed on a management node but the cluster database is stored only on a single local disk, and leadership claims the control plane is highly available. The observed case instead concerns: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This underlying cause is associated with another GPU platform incident: An AI job runs on one compute node, but Slurm cannot distribute it because GPU resources are absent from the scheduler's generic resource definitions. The observed case instead concerns: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This prevention control targets another operational risk: An AI cluster has a functioning BCM primary and standby, but a split-brain test reveals that both managers can modify node provisioning state after losing their heartbeat. The currently reported mechanism remains: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This prevention control targets another operational risk: A newly added AI rack cannot be provisioned because BCM is reachable on the data network but its PXE/DHCP provisioning path is isolated by a recently changed VLAN. The currently reported mechanism remains: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This prevention control targets another operational risk: A GPU-based inference container is deployed with `--privileged` solely to make NVIDIA device files visible, exposing unnecessary host capabilities. The currently reported mechanism remains: Cluster management upgrades can affect downstream automation interfaces even when the central manager starts normally.

This option could be appropriate for a different NVIDIA infrastructure problem (3.1: Install Base Command Manager and configure and verify high availability): A BCM provisioning environment discovers every compute node, yet new GPU hosts join the wrong category and receive CPU-only operating system images. The present issue is more specifically caused by: Ordinary manager UI reachability does not prove that low-level network boot and imaging services can reach compute hosts.

This option could be appropriate for a different NVIDIA infrastructure problem (3.1: Install Base Command Manager and configure and verify high availability): Base Command Manager is installed on a management node but the cluster database is stored only on a single local disk, and leadership claims the control plane is highly available. The present issue is more specifically caused by: Ordinary manager UI reachability does not prove that low-level network boot and imaging services can reach compute hosts.

This option could be appropriate for a different NVIDIA infrastructure problem (3.5: Install the NVIDIA Container Toolkit): After a driver upgrade, the container toolkit continues referencing stale GPU library paths, and a container loads incompatible runtime libraries. The present issue is more specifically caused by: Ordinary manager UI reachability does not prove that low-level network boot and imaging services can reach compute hosts.

This observation would help verify a different incident: Base Command Manager is installed on a management node but the cluster database is stored only on a single local disk, and leadership claims the control plane is highly available. It does not directly establish the required result for the current case: A controlled network boot obtains the correct lease and approved image and enrolls the node under the expected BCM identity.

This observation would help verify a different incident: An AI cluster has a functioning BCM primary and standby, but a split-brain test reveals that both managers can modify node provisioning state after losing their heartbeat. It does not directly establish the required result for the current case: A controlled network boot obtains the correct lease and approved image and enrolls the node under the expected BCM identity.

This observation would help verify a different incident: A Linux host's root filesystem is nearly full because training datasets were written into the OS partition, and critical services fail during package updates. It does not directly establish the required result for the current case: A controlled network boot obtains the correct lease and approved image and enrolls the node under the expected BCM identity.