Featured Posts and News

Simplifying AI Development at Scale: Google Cloud Integrates Anyscale's RayTurbo with GKE
04 . 09 . 2025

Simplifying AI Development at Scale: Google Cloud Integrates Anyscale's RayTurbo with GKE

02 . 12 . 2025

Deploying DeepSeek R1 on Anyscale

10 . 03 . 2024

Ray Summit 2024: Breaking Through the AI Complexity Wall

blog-what-is-distributed-training-thumb

04 . 26 . 2022

What is distributed training?

By Keith Pijanowski and 
Michael Galarnyk
Local Machine Cloud

12 . 15 . 2021

How to Speed Up XGBoost Model Training

By Michael Galarnyk
ray 1.9

12 . 06 . 2021

Ray version 1.9 has been released

By Michael Galarnyk
MLPatternsProduction

11 . 16 . 2021

Considerations for Deploying Machine Learning Models in Production

By Jules S. Damji and 
Michael Galarnyk
Ray 1.8

11 . 04 . 2021

Ray version 1.8 has been released

By Michael Galarnyk
Ray 1.7

10 . 11 . 2021

Ray version 1.7 has been released

By Michael Galarnyk
Where Ray Serve Fits In

10 . 01 . 2021

Serving ML Models in Production: Common Patterns

By Simon Mo, 
Edward Oakes and 
Michael Galarnyk
With and without NumPy Ray

09 . 02 . 2021

Parallelizing Python Code

By Dawid Borycki and 
Michael Galarnyk
Introduction to Reinforcement Learning

08 . 26 . 2021

An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab

By Michael Galarnyk and 
Sven Mika
FLAML XGBOOST Ray Tune

08 . 24 . 2021

Fast AutoML with FLAML + Ray Tune

By Qingyun Wu, 
Chi Wang, 
Antoni Baum, 
Richard Liaw and 
Michael Galarnyk
Ray Dashboard 8 Core

08 . 12 . 2021

Writing your First Distributed Python Application with Ray

By Michael Galarnyk
ML Platform Panel

07 . 20 . 2021

RL for recommender systems

By Michael Galarnyk