title: Why there are insufficient accelerators when I execute gcloud ml-engine jobs?
body: <p>I'm trying to run a Machine Learning Jon in Google Cloud, but it always tell me that there are insufficient accelerators available, I've tried with the parameter <code>----scale-tier=BASIC | BASIC_GPU | STANDARD_1 | PREMIUM_1</code>. and is the same result.</p>
  
  <p>Here is the command and result:</p>
  
  <pre><code>gcloud ml-engine jobs submit training object_detection_`date +%s`     --job-dir=gs://${TRAIN_DIR}     --packages dist/object_detection-0.1.tar.gz,slim/dist/slim-0.1.tar.gz     --module-name object_detection.train     --region us-central1     --config ${PATH_TO_LOCAL_YAML_FILE}     --     --train_dir=gs://${TRAIN_DIR}     --pipeline_config_path=gs://${PIPELINE_CONFIG_PATH}
  ERROR: (gcloud.ml-engine.jobs.submit.training) RESOURCE_EXHAUSTED: Field: scale_tier Error: Insufficient accelerators are available in region us-central1 to schedule the job which requests 6 K80 accelerators. Please wait and try again or else try submitting your job to a different region.
  - '@type': type.googleapis.com/google.rpc.BadRequest
    fieldViolations:
    - description: Insufficient accelerators are available in region us-central1 to
        schedule the job which requests 6 K80 accelerators. Please wait and try again
        or else try submitting your job to a different region.
      field: scale_tier
  </code></pre>