Which strategy is best for maintaining high availability and minimizing downtime in an AI data center?

The chosen strategy focuses on leveraging active-passive clusters with GPUs and DPUs to ensure high availability and minimal downtime. This approach is effective because it establishes a clear separation of tasks between the GPUs and DPUs, allowing for specialized responses to potential failures.

In an active-passive cluster, one set of hardware (the active) handles the processing while the other (the passive) remains on standby to take over if the active hardware fails. This redundancy ensures that there is a backup in place to immediately handle workloads without significant delays. The integration of DPUs, which can manage network failover and security tasks in real time, adds another layer of reliability. By handling these functions, DPUs reduce the time required to shift workloads and ensure that the overall system remains operational during an unexpected failure.

Utilizing this strategy enables the data center to sustain operations with minimal service interruption, thereby maintaining high availability for applications and services reliant on AI capabilities.