.. SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. .. 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 `_. Quickstart ========== .. include:: _includes/quick_start_local.rst .. Sidebar .. .. toctree:: :hidden: :caption: Getting Started Quickstart Installation <_sections/installation> Support Matrix Architecture <_sections/architecture> Examples <_sections/examples> .. toctree:: :hidden: :caption: Kubernetes Deployment Quickstart (K8s) <../guides/dynamo_deploy/README.md> Dynamo Operator <../guides/dynamo_deploy/dynamo_operator.md> Metrics <../guides/dynamo_deploy/metrics.md> Logging <../guides/dynamo_deploy/logging.md> Multinode <../guides/dynamo_deploy/multinode-deployment.md> Minikube Setup <../guides/dynamo_deploy/minikube.md> .. toctree:: :hidden: :caption: Components Backends <_sections/backends> Router Planner KVBM .. toctree:: :hidden: :caption: Developer Guide Tuning Disaggregated Serving Performance Writing Python Workers in Dynamo Glossary