Distributed AI with Ray

Scale your AI workloads with Ray's distributed computing framework.

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Installation

bash
pip install ray torch transformers

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Distributed Inference

python
import ray
from transformers import pipeline
ray.init()
@ray.remote
def generate_text(prompt):
    generator = pipeline("text-generation", model="gpt2")
    return generator(prompt, max_length=100)
results = ray.get([generate_text.remote(f"Prompt {i}") for i in range(10)])

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Use Cases

Distributed training

Parallel inference

Hyperparameter tuning

Large-scale data processing