index.rst

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   Main Page
..

Welcome to NVIDIA Dynamo
========================

The NVIDIA Dynamo Platform is a high-performance, low-latency inference framework designed to serve all AI models—across any framework, architecture, or deployment scale.

.. admonition:: 💎 Discover the latest developments!
   :class: seealso

   This guide is a snapshot of a specific point in time. For the latest information, examples, and Release Assets, see the `Dynamo GitHub repository <https://github.com/ai-dynamo/dynamo/releases/latest>`_.

Quickstart
==========
.. include:: _includes/quick_start_local.rst

..
   Sidebar
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.. toctree::
   :hidden:
   :caption: Getting Started

   Quickstart <self>
   Installation <_sections/installation>
   Support Matrix <support_matrix.md>
   Architecture <_sections/architecture>
   Examples <_sections/examples>

.. toctree::
   :hidden:
   :caption: Kubernetes Deployment

   Quickstart (K8s) <../kubernetes/README.md>
   Detailed Installation Guide <../kubernetes/installation_guide.md>
   Dynamo Operator <../kubernetes/dynamo_operator.md>
   Metrics <../kubernetes/metrics.md>
   Logging <../kubernetes/logging.md>
   Multinode <../kubernetes/multinode-deployment.md>
   Minikube Setup <../kubernetes/minikube.md>

.. toctree::
   :hidden:
   :caption: Components

   Backends <_sections/backends>
   Router <components/router/README>
   Planner <architecture/planner_intro>
   KVBM <architecture/kvbm_intro>

.. toctree::
   :hidden:
   :caption: Developer Guide

   Benchmarking Guide <benchmarks/benchmarking.md>
   Planner Benchmark Example <guides/planner_benchmark/README.md>
   Logging <guides/logging.md>
   Health Checks <guides/health_check.md>
   Tuning Disaggregated Serving Performance <guides/disagg_perf_tuning.md>
   Writing Python Workers in Dynamo <guides/backend.md>
   Glossary <dynamo_glossary.md>