GCP Batch Jobs Parallelism

[nechtobolshee]

Hello! I started using the batch job service and ran into a problem. I have a web server running to call and launch a job, each launched job is independent and is not related to each other in any way.
During startup, they are queued, thereby increasing the processing time significantly. Is it possible to run jobs in parallel?

I tried setting the parallelism parameter = 3 so that 3 jobs could be executed simultaneously. But setting this parameter did nothing.

Some background information:
instance: n1-standard-4, GPU: T4.

{
  "taskGroups": [
    {
      "taskSpec": {
        "runnables": [
          {
            "container": {
              "imageUri": "some_value",
              "entrypoint": "some_value",
              "commands": ["some_value"]
            }
          }
        ],
        "computeResource": {"some_values"},
      },
      "taskCount": 1,
      "parallelism": 3,
    }
  ],
  "allocationPolicy": {
    "instances": [
      {
        "installGpuDrivers": True,
        "policy": {
          "machineType": "n1-standard-4",
          "provisioningModel": "STANDARD",
          "accelerators": [
            {
              "type": "nvidia-tesla-t4",
              "count": 1
            }
          ]
        }
      }
    ]
  },
  "labels": {some_value}
}

Could this be because only 1 T4 is used?