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Yunxuan Xiao

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Hao Chen

In this blog post, we introduce an advanced pre-training solution for Stable Diffusion v2 models, leveraging the power of the Ray and Anyscale Platform to enhance scalability and cost efficiency.  

Scalable and Cost-Efficient Stable Diffusion Pre-training with Ray

Reducing the Cost of Pre-training Stable Diffusion by 3.7x with Anyscale

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​​Reinventing Multi-Modal Search with Anyscale and MongoDB

Solve resource fragmentation with Anyscale's new Replica Compaction feature.  Easily optimize resource usage for online inference replication.

Anyscale’s New Replica Compaction

Introducing Anyscale’s New Replica Compaction

Deploy Ray Serve with up to 50% fewer nodes using Anyscale Replica Compaction

Anyscale - LLM Router

Building an LLM Router for High-Quality and Cost-Effective Responses

Ray Spotlight

Ray Spotlight: How we delivered Ray weekly releases

Execute end-to-end LLM workflows to develop & productionize LLMs at scale.

End-to-end LLM Guide header

End-to-end LLM Workflows Guide

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