Kas saaksite selgitada, mis on Ray tehnoloogia ja milliste stsenaariumide jaoks see mõeldud on?

Ray is a distributed framework for parallel and distributed computing, enabling easy scaling of tasks across clusters and in the cloud. It is designed to accelerate computations related to machine learning, data processing, and other tasks requiring parallelism.

Main use scenarios of Ray:

• Parallel execution of functions and tasks.
• Building distributed applications and services.
• Scaling ML pipelines and training models.
• Managing state and distributed objects.

Example of simple use of Ray for parallel computations:

import ray

ray.init()

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

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