QuestionQ14

Explain HPE compute AI and HPC solution components and architecture

A customer intends to use Ray with HPE Private Cloud AI and wants additional information about the framework’s integration with the solution’s GPUs.

What should you explain?

  • A The solution’s Kuberay cluster has a GPU worker, and AI administrators can define the number of GPUs for that worker.
  • B The solution’s Kuberay cluster supports GPUs by default and can autoscale up to the maximum number of GPUs on a single AI-optimized node.
  • C The solution’s Kuberay cluster supports GPUs by default and can autoscale up to the maximum number of GPUs in the solution.
  • D The solution’s default Kuberay cluster does not support GPU workers, but the customer can deploy an additional Kuberay cluster that does.
Explanation

Ray on HPE AI Essentials uses a KubeRay cluster that can be configured with a GPU-resource worker. Administrators enable GPU support and configure the available GPU resources for that worker; GPU support is not inherently enabled by default, and the GPU worker group is not scaled by the autoscaler.

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