CML provisioning fails #81
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CDP Control Plane Region: EU-1
Configuration:
ml_worker: instance_type: m6a.8xlarge instance_count: 1 min_instances: 1 max_instances: 4 root_volume: 512 instance_tier: ON_DEMAND ml_worker_gpu: min_instances: 0 max_instances: 3 instance_count: 0 instance_tier: ON_DEMAND instance_type: g4dn.2xlarge root_volume: 512 enable_governance: falseModule configs
- name: Create instance groups block: - name: Set standard non-gpu instance groups set_fact: instance_groups: - name: cpu_settings autoscaling: maxInstances: "{{ ml_worker['max_instances'] }}" minInstances: "{{ ml_worker['min_instances'] }}" instanceType: "{{ ml_worker['instance_type'] }}" instanceTier: "{{ ml_worker['instance_tier'] }}" rootVolume: size: "{{ ml_worker['root_volume'] }}" - name: Add GPU instance group if defined set_fact: instance_groups: "{{ instance_groups + gpu_instance_group }}" when: "'ml_worker_gpu' in cml_cluster" vars: ml_worker_gpu: "{{ cml_cluster['ml_worker_gpu'] }}" gpu_instance_group: - name: gpu_settings autoscaling: maxInstances: "{{ ml_worker_gpu['max_instances'] }}" minInstances: "{{ ml_worker_gpu['min_instances'] }}" instanceType: "{{ ml_worker_gpu['instance_type'] }}" instanceTier: "{{ ml_worker_gpu['instance_tier'] }}" rootVolume: size: "{{ ml_worker_gpu['root_volume'] }}" vars: ml_worker: "{{ cml_cluster['ml_worker'] }}" - name: "Install ML workspace {{ cml_cluster_name }}" cloudera.cloud.ml: name: "{{ cml_cluster_name }}" env: "{{ env_name }}" k8s_request: environmentName: "{{ env_name }}" instanceGroups: "{{ instance_groups }}" tags: "{{ cml_cluster['tags'] }}" governance: "{{ cml_cluster['enable_governance'] }}" public_loadbalancer: false monitoring: true ip_addresses: [] debug: true timeout: 7200 cp_region: "{{ cp_region }}"Errors
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