News

User Story

Engineering

Culture

Anyscale Ray Team

In this blog post, we explore Waleed Kadous's insightful talk on "Open Source LLMs: Viable for Production or a Low-Quality Toy?" Read the recap and watch the full session.

top 20 bw-12

Open Source LLMs: Viable for Production or a Low-Quality Toy?

In this blog post, we explore David Xia and Keshi Dai's insightful talk on "How Spotify Built a Robust Ray Platform with a Frictionless Developer Experience" Read the recap and watch the full session.

top 20 bw-11

How Spotify Built a Robust Ray Platform with a Frictionless Developer Experience

In this blog post, we explore Ali Naqvi and Sasha Ovsankin's insightful talk on "Inference Graphs at LinkedIn Using Ray-Serve" Read the recap and watch the full session.

top 20 bw-10

Inference Graphs at LinkedIn Using Ray-Serve

In this blog post, we explore Percy Liang's insightful talk on "Advances in Foundation Models — Technology, Society, and Applications" Read the recap and watch the full session.

top 20 bw-09

Advances in Foundation Models — Technology, Society, and Applications

In this blog post, we explore Shaowei Su's insightful talk on "Optimizing LLM Training with Airbnb's Next-Gen ML Platform at Airbnb" Read the recap and watch the full session.

top 20 bw-08

Optimizing LLM Training with Airbnb's Next-Gen ML Platform

In this blog post, we explore Edward Oakes & Shreyas Krishnaswamy's insightful talk on "Building Production AI Applications with Ray Serve" Read the recap and watch the full session.

top 20 bw-07

Building Production AI Applications with Ray Serve

In this blog post, we explore Lingyi Liu & Pablo Delgado's insightful talk on "Heterogeneous Training Cluster with Ray at Netflix" Read the recap and watch the full session.

top 20 bw-06

Heterogeneous Training Cluster with Ray at Netflix

In this blog post, we explore Jerry Liu's insightful talk on Practical Data Considerations for Building Production-Ready LLM Applications" Read the recap and watch the full session.

top 20 bw-05

Practical Data Considerations for Building Production-Ready LLM Applications

In this blog post, we explore Harrison Chase insightful talk on "Building Context-Aware Reasoning Applications with LangChain and LangSmith" Read the recap and watch the full session.

top 20 bw-03

Building Context-Aware Reasoning Applications with LangChain and LangSmith

In this blog post, we explore Joseph Spisak's insightful talk on "Llama: Scaling Up LLMs in an Open Ecosystem." Read the recap and watch the full session.

top 20 ray session joseph spisak meta

Llama, Scaling Up LLMs in an Open Ecosystem

How companies use Ray to scale many Python jobs at massive scale. Scaling many parallel Python jobs can come in many different forms. You can use Ray to train one million jobs in record time, scale many simulations or train the number of experiments that are part of a hyperparameter job.


summit-stories-scaling-parallel-python-jobs

How companies are scaling parallel python jobs for many models training, simulation or hyperparameter tuning.

Ray Summit Series - Scaling Parallel Python Jobs

Ray Summit Stories - ML Workloads (1)

How companies are scaling their ML workloads and driving efficiency and productivity

Ray Summit 2022 stories - ML Platforms

The Ray Summit 2025 CfP is now open for submissions. The premier AI conference will be held November 3-5 in San Francisco, and the due date for CfPs is June 30th, 2025.  

Ray Summit 2025 CFP Open

Ray Summit 2025: Call for Proposals Closes on June 30th, 2025

Google + Anyscale

Google Cloud Integrates Anyscale's RayTurbo with GKE

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

At Ray Summit 2024, we brought together AI experts and practitioners to dive into the future of distributed AI and scalable machine learning.

image3

Ray Summit 2024: Breaking Through the AI Complexity Wall

This section is used to order the "Types" and "Tags" that show up for filters on the Blog Index

Types

Products / Libraries

Blog

Anyscale is the leading AI application platform. With Anyscale, developers can build, run and scale AI applications instantly.

Featured Posts and News