Ray Serve

Ray Serve

Ray Serve is a powerful library for creating scalable online inference APIs. It works with various frameworks like PyTorch, TensorFlow, and Keras, as well as Scikit-Learn and custom Python logic. Notable features include response streaming, dynamic request batching, and multi-node/multi-GPU serving, making it ideal for Large Language Models.

Ray Serve is versatile for composing and serving multiple ML models and business logic in Python. It's built on Ray, facilitating easy scaling across machines with flexible scheduling, including fractional GPU support. This allows cost-effective sharing of resources and efficient serving of numerous machine learning models.

💡
Not Reviewed/Verified Yet By Marktechpost. Please get in touch with us at Asif@marktechpost.com if you are the product owner.
About the author

AI Dev Tools Club

AI Developer Tools Club and Reviews

AI Dev Tools Club

Great! You’ve successfully signed up.

Welcome back! You've successfully signed in.

You've successfully subscribed to AI Dev Tools Club.

Success! Check your email for magic link to sign-in.

Success! Your billing info has been updated.

Your billing was not updated.