Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A Datacenter Scale Distributed Inference Serving Framework
| Date | Stars |
|---|---|
| 2026-07-24 | 7574 |
| 2026-07-25 | 7578 |
| 2026-07-28 | 7611 |
| 2026-07-30 | 7611 |
| 2026-08-06 | 7691 |
Today
+80 stars today
This week
+80 stars this week
This month
— stars this month
Momentum
460.0
growth rate 1.05%/day
<!-- SPDX-FileCopyrightText: Copyright (c) 2024-2026 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. -->  [](https://opensource.org/licenses/Apache-2.0) [](https://github.com/ai-dynamo/dynamo/releases/latest) [](https://pypi.org/project/ai-dynamo/) [](https://deepwiki.com/ai-dynamo/dynamo) [](https://discord.gg/D92uqZRjCZ)  | **[Docs](https://docs.nvidia.com/dynamo/)** | **[Roadmap](https://github.com/ai-dynamo/dynamo/issues/9178)** | **[Recipes](https://github.com/ai-dynamo/dynamo/tree/main/recipes)** | **[Examples](https://github.com/ai-dynamo/dynamo/tree/main/examples)** | **[Prebuilt Containers](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo)** | **[Digest](docs/fern/pages/blog/latest.mdx)** | **[Design Proposals](https://github.com/ai-dynamo/dynamo/issues?q=is%3Aissue+label%3A%22dep%3Adraft%22%2C%22dep%3Aproposed%22%2C%22dep%3Aapproved%22%2C%22dep%3Aimplementing%22%2C%22dep%3Acompleted%22%2C%22dep%3Adeferred%22%2C%22dep%3Asuperseeded%22)** | **[How to Contribute](#community-and-contributing)** | <!-- The SVG badge uses systemLanguage so it only draws for Simplified Chinese/China browser language preferences. --> <p align="left"> <a href="./README.zh-CN.md" hreflang="zh-CN"><img src="./docs/fern/assets/img/readme-zh-cn-link.svg" alt="简体中文" height="28" /></a> </p> # Dynamo **The open-source, datacenter-scale inference stack.** Dynamo is the orchestration layer above inference engines — it doesn't replace SGLang, TensorRT-LLM, or vLLM, it turns them into a coordinated multi-node inference system. Disaggregated serving, intelligent routing, multi-tier KV caching, and automatic scaling work together to maximize throughput and minimize latency for LLM, reasoning, multimodal, and video generation workloads. Built in Rust for performance, Python for extensibility. ## Community Events <!-- EVENTS:START --> | Date | Event | Location | |:-----|:------|:---------| | Thu, Jul 16, 2026 | **[Austin vLLM & llm-d AI Inference Meetup](https://calendar.google.com/calendar/render?action=TEMPLATE&text=Austin+vLLM+%26+llm-d+AI+Inference+Meetup&dates=20260716T220000Z%2F20260716T230000Z&location=https%3A%2F%2Fluma.com%2Frxmldtp2%3Ftk%3DXiKvay&details=%3Cp%3E%E2%80%8B%3Cstrong%3E5%3A00PM+%E2%80%93+5%3A30PM+%E2%80%94+Doors+Open%2C+Check-In%3C%2Fstrong%3E%3Cbr%3E%3Cbr%3E%3Cstrong%3E5%3A30PM+%E2%80%93+5%3A40PM+%E2%80%94+Welcome+and+Opening+Remarks%3C%2Fstrong%3E%3C%2Fp%3E%3Cblockquote%3E%3Cp%3E%E2%80%8BJake+O%27Shea%2C+Principal%2C+Antler+%26amp%3B+Co-Founder+%2F+Organizer%2C+AITX%3Cbr%3ESasa+Zelenovic%2C+Sr.+Technical+Marketing+Manager%2C+Red+Hat+AI%3C%2Fp%3E%3C%2Fblockquote%3E%3Cp%3E%E2%80%8B%3Cstrong%3E5%3A40PM+%E2%80%93+6%3A10PM+%E2%80%94+Intro+to+vLLM+and+Project+Update%3C%2Fstrong%3E%3C%2Fp%3E%3Cblockquote%3E%3Cp%3E%E2%80%8BKyle+Sayers%2C+Sr.+Machine+Learning+Engineer%2C+Red+Hat+AI%3C%2Fp%3E%3C%2Fblockquote%3E%3Cp%3E%E2%80%8B%3Cstrong%3E6%3A10PM+%E2%80%93+6%3A30PM+%E2%80%94+Intro+to
Excerpt of 22,787 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b45399cb8ce64695, topic:llm-inference, topic:vllm
matched fp:b45399cb8ce64695, topic:kubernetes, readme:multi-node