<!--
SPDX-FileCopyrightText: Copyright (c) 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.
-->

# Dynamo Support Matrix

This document provides the support matrix for Dynamo, including hardware, software and build instructions.

## Hardware Compatibility


| **CPU Architecture**  | **Status**    |
|-----------------------|---------------|
| **x86_64**            | Supported     |
| **ARM64**             | Experimental  |

```{note}
While **x86_64** architecture is supported on systems with a minimum of 32 GB RAM and at least 4 CPU cores, the **ARM64** support is experimental and may have limitations.
```

### GPU Compatibility

If you are using a **GPU**, the following GPU models and architectures are supported:

| **GPU Architecture**                | **Status**    |
|-------------------------------------|---------------|
| **NVIDIA Blackwell Architecture**   | Supported     |
| **NVIDIA Hopper Architecture**      | Supported     |
| **NVIDIA Ada Lovelace Architecture**| Supported     |
| **NVIDIA Ampere Architecture**      | Supported     |

## Platform Architecture Compatibility

**Dynamo** is compatible with the following platforms:

| **Operating System** | **Version** | **Architecture** | **Status**   |
|----------------------|-------------|------------------|--------------|
| **Ubuntu**           | 22.04       | x86_64           | Supported    |
| **Ubuntu**           | 24.04       | x86_64           | Supported    |
| **Ubuntu**           | 24.04       | ARM64            | Experimental |
| **CentOS Stream**    | 9           | x86_64           | Experimental |

```{note}
For **Linux**, the **ARM64** support is experimental and may have limitations. Wheels are built using a manylinux_2_28-compatible environment and they have been validated on CentOS 9 and Ubuntu (22.04, 24.04). Compatibility with other Linux distributions is expected but has not been officially verified yet.

**Known Issues**: KV Block Manager is supported only with Python 3.12. Python 3.12 support is currently limited to Ubuntu 24.04.
```

## Software Compatibility
### Runtime Dependency
| **Python Package** | **Version**   | glibc version        | CUDA Version |
|--------------------|---------------|----------------------|--------------|
| ai-dynamo          |    0.3.0      |     >=2.28           |              |
| ai-dynamo-runtime  |    0.3.0      |     >=2.28           |              |
| ai-dynamo-vllm     |  0.8.4.post2* | >=2.28 (recommended) |                    |
| NIXL               |    0.3.0      |     >=2.27           | >=11.8      |

### Build Dependency
| **Build Dependency** | **Version** |
|----------------------|-------------|
| **Base Container**   |    [25.03](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda-dl-base/tags)    |
| **ai-dynamo-vllm**   |0.8.4.post2* |
| **TensorRT-LLM**     |    0.19.0** |
| **NIXL**             |    0.3.0    |

```{note}
*ai-dynamo-vllm v0.8.4.post2 is a customized patch of v0.8.4 from vLLM.

**Specific versions of TensorRT-LLM supported by Dynamo are subject to change.
```

## Build Support
**Dynamo** currently provides build support in the following ways:

- **Wheels**: Pre-built Python wheels are only available for **x86_64 Linux**. No wheels are available for other platforms at this time.
- **Container Images**: We distribute only the source code for container images, **x86_64 Linux** and **ARM64** are supported for these. Users must build the container image from source if they require it.

Once you've confirmed that your platform and architecture are compatible, you can install **Dynamo** by following the instructions in the [Quick Start Guide](https://github.com/ai-dynamo/dynamo/blob/main/README.md#installation).