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 |
Warning
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.
Caution
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 |
0.4.1 |
>=2.28 |
|
ai-dynamo-runtime |
0.4.1 |
>=2.28 (Python 3.12 has known issues) |
|
NIXL |
0.4.1 |
>=2.27 |
>=11.8 |
Build Dependency#
Build Dependency |
Version |
---|---|
Base Container |
|
TensorRT-LLM |
1.0.0rc6 |
NIXL |
0.4.1 |
vLLM |
0.10.1.1 |
SGLang |
0.5.0rc2 |
Important
Specific versions of TensorRT-LLM supported by Dynamo are subject to change.
Cloud Service Provider Compatibility#
AWS#
Host Operating System |
Version |
Architecture |
Status |
---|---|---|---|
Amazon Linux |
2023 |
x86_64 |
Supported¹ |
Caution
¹ There is a known issue with the TensorRT-LLM framework when installed within the AL2023 container via the Python Wheels which makes effective environment setup challenging.
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.
Runtime Container Images: We distribute only AMD64 images of the runtime target on NGC for TensorRT-LLM, vLLM, and SGLang. Users must build the container image from source if they require an ARM64 image.
Deployment-supportive Images: NGC hosts the Dynamo kubernetes-operator to simplify deployments of Dynamo Graphs. It is currently provided as an AMD64 image only.
Helm Charts: NGC hosts the helm charts supporting Kubernetes deployments of Dynamo. Dynamo CRDs, Dynamo Platform, and Dynamo Graph are available.
Once you’ve confirmed that your platform and architecture are compatible, you can install Dynamo by following the instructions in the Quick Start Guide.