Sidecar Resource Requests PPS

Spec

This is a top-level attribute of the pipeline spec.

{
  "pipeline": {...},
  "transform": {...},
  "sidecarResourceRequests": {
    "cpu": number,
    "memory": string,
    "gpu": {
      "type": string,
      "number": int
      }
    "disk": string,
  },
  ...
}

Attributes

Attribute Description
cpu The minimum number of CPU cores that the storage container will reserve.
memory The minimum amount of memory that the storage container will reserve. This can be specified in bytes, or with a unit such as “Mi” or “Gi”.
gpu An optional field that specifies the number and type of GPUs that the storage container will reserve.
type The type of GPU to use, such as “nvidia” or “amd”.
number The number of GPUs that the storage container will reserve.
disk The minimum amount of disk space that the storage container will reserve. This can be specified in bytes, or with a unit such as “Mi” or “Gi”.

Behavior

The sidecarResourceRequests field in a HPE Machine Learning Data Management Pipeline Spec is used to specify the resource requests for the storage container that runs alongside the user container.

In a HPE Machine Learning Data Management Pipeline, the storage container is used to perform additional tasks alongside the user pipeline container, such as logging, monitoring, or handling external dependencies. By specifying resource requests for this sidecar container, you can ensure that the storage container has enough resources reserved as to not impact the performance of the user container.