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[docs] Add the AIR technical whitepaper to our docs (#28053)
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@ -64,6 +64,7 @@ More Information
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- `Documentation`_
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- `Ray Architecture whitepaper`_
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- `Ray AIR Technical whitepaper`_
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- `Exoshuffle: large-scale data shuffle in Ray`_
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- `Ownership: a distributed futures system for fine-grained tasks`_
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- `RLlib paper`_
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.. _`Objects`: https://docs.ray.io/en/latest/ray-core/objects.html
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.. _`Documentation`: http://docs.ray.io/en/latest/index.html
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.. _`Ray Architecture whitepaper`: https://docs.google.com/document/d/1lAy0Owi-vPz2jEqBSaHNQcy2IBSDEHyXNOQZlGuj93c/preview
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.. _`Ray AIR Technical whitepaper`: https://docs.google.com/document/d/1bYL-638GN6EeJ45dPuLiPImA8msojEDDKiBx3YzB4_s/preview
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.. _`Exoshuffle: large-scale data shuffle in Ray`: https://arxiv.org/abs/2203.05072
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.. _`Ownership: a distributed futures system for fine-grained tasks`: https://www.usenix.org/system/files/nsdi21-wang.pdf
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.. _`Ray paper`: https://arxiv.org/abs/1712.05889
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@ -203,5 +203,5 @@ Next Steps
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- :ref:`air-key-concepts`
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- :ref:`air-examples-ref`
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- :ref:`Deployment Guide <air-deployment>`
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- :ref:`API reference <air-api-ref>`
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- :ref:`Technical whitepaper <whitepaper>`
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.. _whitepaper:
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Architecture Whitepaper
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=======================
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Architecture Whitepapers
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========================
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For an in-depth overview of Ray internals, check out the `Ray 1.0 Architecture whitepaper <https://docs.google.com/document/d/1lAy0Owi-vPz2jEqBSaHNQcy2IBSDEHyXNOQZlGuj93c/preview>`__.
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For more about the scalability and performance of the Ray dataplane, see the `Exoshuffle paper <https://arxiv.org/abs/2203.05072>`__.
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To learn about the technical design and value proposition of Ray AI Runtime (AIR) see the `Ray AIR Technical Whitepaper <https://docs.google.com/document/d/1bYL-638GN6EeJ45dPuLiPImA8msojEDDKiBx3YzB4_s/preview>`__.
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@ -46,6 +46,7 @@ Please raise an issue if any of the below links are broken, or if you'd like to
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## Papers
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- [Ray 1.0 Architecture whitepaper](https://docs.google.com/document/d/1lAy0Owi-vPz2jEqBSaHNQcy2IBSDEHyXNOQZlGuj93c/preview)
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- [Ray AIR Technical whitepaper](https://docs.google.com/document/d/1bYL-638GN6EeJ45dPuLiPImA8msojEDDKiBx3YzB4_s/preview)
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- [Exoshuffle: large-scale data shuffle in Ray](https://arxiv.org/abs/2203.05072)
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- [RLlib paper](https://arxiv.org/abs/1712.09381)
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- [RLlib flow paper](https://arxiv.org/abs/2011.12719)
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