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Robert Nishihara

Joe Spisak

We are excited to announce collaboration between Meta and Anyscale to bolster the Llama ecosystem.

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Anyscale and Meta Collaborate to Advance the Llama-2 Ecosystem

Eric Liang

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More companies are needing to train & deploy many small ML models, often hundreds or thousands. Learn how Ray and Anyscale make that possible.

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Training 1 Million ML Models in Record Time | Anyscale

Training One Million Machine Learning Models in Record Time with Ray

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Introducing Anyscale: The Future Is Distributed

Michael Galarnyk

Richard Liaw

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PyTorch + Ray

Getting Started with Distributed Machine Learning with PyTorch and Ray

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Anyscale Announces $40M in Series B Funding Led by NEA

Ion Stoica

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The Infinite Laptop

Founders of Open Source Project Ray Launch Anyscale with $20.6M in Funding to Democratize Distributed Programming

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.

Anyscale - Intel

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

Generating embeddings is a critical task for developing successful RAG applications, and Anyscalew with Pinecone is the most cost-efficient solution for this workflow.

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RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone

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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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Posts by Robert Nishihara

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