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Jerry Liu

Amog Kamsetty

In this blog, we showcase how you can use LlamaIndex and Ray to build a query engine to answer questions and generate insights about Ray itself.

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Build and Scale a Powerful Query Engine with LlamaIndex & Ray

Build and Scale a Powerful Query Engine with LlamaIndex and Ray

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Processing 2 Billion Images for Stable Diffusion Model Training - Definitive Guides with Ray Series

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

Ray Summit 2024, the annual Ray community conference, is back in San Francisco, CA this September 30th through October 2nd. It is a two-day event with a third day dedicated to training.

Call for Proposals is open Blog Post

Ray Summit 2024 Call for Proposals is now open

Intel and Anyscale have integrated Ray with Gaudi3. Gaudi3 is AI-optimized for efficient training and other machine learning workloads.

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Accelerating AI: Harnessing Intel(R) Gaudi(R) 3 with Ray 2.10

Anyscale is teaming with NVIDIA to combine the developer productivity of Ray Serve and RayLLM with the cutting-edge optimizations from NVIDIA Triton Inference Server software and the NVIDIA TensorRT-LLM library.

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Low-latency Generative AI Model Serving with Ray, NVIDIA Triton Inference Server, and NVIDIA TensorRT-LLM

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