rickcheng created ZEPPELIN-5443: ----------------------------------- Summary: Allow the interpreter pod to request the gpu resources under k8s mode Key: ZEPPELIN-5443 URL: https://issues.apache.org/jira/browse/ZEPPELIN-5443 Project: Zeppelin Issue Type: Improvement Components: Kubernetes Affects Versions: 0.9.0 Reporter: rickcheng
When zeppelin is running under k8s mode, it will create the interpreter pod through "k8s/interpreter/100-interpreter-spec.yaml". Unfortunately, it currently only supports the interpreter pod to request for CPU and memory resources. When users need to use some deep learning libraries (e.g., tensorflow), they hope that the interpreter pod can be scheduled to a machine *with gpu resources*. -- This message was sent by Atlassian Jira (v8.3.4#803005)