Intial setup for ray on a HPC

Ray Serve
5

Indeed, most of networks might not updated with the CIDR range with 6379.

Alternatively you can refer the following the recent ray job submission client approach this also helps you to submit the jobs:

Sample code

import ray
from ray.job_submission import JobSubmissionClient
import time

Ray cluster information

ray_head_ip = “kuberay-head-svc.kuberay.svc.cluster.local”
ray_head_port = 8265
ray_address = f"http://{ray_head_ip}:{ray_head_port}"

while True:
# Submit Ray job using JobSubmissionClient
client = JobSubmissionClient(ray_address)
job_id = client.submit_job(
entrypoint=“python run.py”,
runtime_env={
“working_dir”: “./”
},
entrypoint_num_cpus = 1,
)

print(client.__dict__)
print(f"Ray job submitted with job_id: {job_id}")
# Wait for a while to let the jobs run
time.sleep(10)

job_status = client.get_job_status(job_id)
get_job_logs = client.get_job_logs(job_id)
get_job_info = client.get_job_info(job_id)
async for lines in client.tail_job_logs(job_id):
    print(lines, end="")

# Shutdown Ray
ray.shutdown()