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Kai Fricke

In part 3 of our generative AI blog series, we dive into a concrete example of how you can use Ray to scale the training of generative AI models.

Figure 4. Training times for number of GPUs

Figure-4

Achieve Faster Stable Diffusion Model Fine-Tuning With Ray AIR

Faster stable diffusion fine-tuning with Ray AIR

Antoni Baum

Eric Liang

Eric Liang headshot

Jun Gong

Richard Liaw

Richard Liaw headshot

Learn the infrastructure challenges for supporting workloads production deployments around foundation models, and how Ray tackles these challenges.

layered-stack

How Ray Solves Generative AI & LLM Infrastructure Challenges

How Ray solves common production challenges for generative AI infrastructure

Amog Kamsetty

XGBoost-Ray

Introducing Distributed XGBoost Training with Ray

PyTorch Lightning Ray

Scaling up PyTorch Lightning hyperparameter tuning with Ray Tune

Anyscale + Astronomer

Scalable Machine Learning with Anyscale and Astronomer

Unlocking the Power of Scalable Machine Learning with Anyscale and Astronomer

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

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Ray Summit 2024: Breaking Through the AI Complexity Wall

Explore the new and improved Anyscale Workspaces. Get advanced observability features so you spend less time on busywork and more time building AI apps.

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Explore Anyscale’s New UX

Anyscale’s New User Experience: A Comprehensive Overview

With Anyscale on AWS Marketplace, you can build, scale, and optimize AI/ML and Generative AI—all within the trusted AWS cloud environment.

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Anyscale Available on AWS Marketplace

Anyscale Now Available on AWS Marketplace and Achieves Generative AI Competency

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

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