Blog | Anyscale

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

By Gabe Monroy, VP & GM Cloud Runtimes and

By Keerti Melkote, CEO of Anyscale

02 . 12 . 2025

Deploying DeepSeek R1 on Anyscale

By The Anyscale Team

10 . 03 . 2024

Ray Summit 2024: Breaking Through the AI Complexity Wall

By The Anyscale Team

Group 464 (1)

10 . 01 . 2024

Ray Data GA

Richard Liaw and

Untitled design (43)

10 . 01 . 2024

Accelerated Metadata Fetching in Ray Data up to 4.5x Faster on Anyscale

By Balaji Veeramani,

Matthew Connor and

10 . 01 . 2024

Autoscaling Large AI Models up to 5.1x Faster on Anyscale

By Christopher Chou,

Edward Oakes and

Screenshot 2024-09-27 at 12.12.40 PM

10 . 01 . 2024

Announcing RayTurbo

By Akshay Malik,

Praveen Gorthy and

Untitled design (41)

10 . 01 . 2024

Batch LLM Inference on Anyscale slashes AWS Bedrock costs by up to 6x

By Cody Yu,

Praveen Gorthy and

Ray 2.8 blog post

11 . 07 . 2023

Ray 2.8 features Ray Data extensions, AWS Neuron cores support, and Dashboard improvements

By Jules S. Damji and

ray 2-7 annoucement

09 . 18 . 2023

Ray 2.7 features major stability improvements to Ray AI Libraries and KubeRay and introduces RayLLM

By Jules S. Damji and

2.6 animations

07 . 25 . 2023

Ray 2.6 features streaming for Serve and Train and new Multi-GPU Learner API

By Jules S. Damji and

Cover image for 23X batch blog

06 . 22 . 2023

How continuous batching enables 23x throughput in LLM inference while reducing p50 latency

By Cade Daniel,

Ray_2.5_main_image

06 . 13 . 2023

Ray 2.5 features training and serving for LLMs, Multi-GPU training in RLlib, and enhanced Ray Data support

By Richard Liaw and

main_image

04 . 27 . 2023

Announcing Ray 2.4.0: Infrastructure for LLM training, tuning, inference, and serving

By Richard Liaw,

Jules S. Damji and

fine-tune-stack

04 . 10 . 2023

How to fine tune and serve LLMs simply, quickly and cost effectively using Ray + DeepSpeed + HuggingFace

By Waleed Kadous,

Antoni Baum and