Have you used Ray in Linux operating systems?

Ray is a distributed framework for scalable computing and machine learning. In Linux, it is often used to run distributed tasks and manage cluster resources.

Experience with Ray on Linux typically includes:

• Installing and configuring Ray via pip or from source.
• Running a Ray cluster using commands ray start --head and ray start --address.
• Developing distributed applications in Python using the Ray API for parallel task execution.

Example of running a simple Ray script:

import ray

ray.init()

@ray.remote
def f(x):
    return x * x

futures = [f.remote(i) for i in range(4)]
print(ray.get(futures))  # [0, 1, 4, 9]

Thus, Ray allows efficient utilization of Linux system resources for distributed computing.