Dynamo Release Artifacts

This document provides a comprehensive inventory of all Dynamo release artifacts including container images, Python wheels, Helm charts, and Rust crates.

See also: Support Matrix for hardware and platform compatibility | Feature Matrix for backend feature support

Release history in this document begins at v0.6.0.

Current Release: Dynamo v0.8.1

• GitHub Release: v0.8.1
• Docs: v0.8.1
• NGC Collection: ai-dynamo

Patch Release: v0.8.1.post1 (Jan 23, 2026)

v0.8.1.post1 is a patch release for PyPI wheels and TRT-LLM container only (no GitHub release). All other artifacts remain at v0.8.1.

Container Images

* Multimodal inference on CUDA 13 images: works on AMD64 for all backends; works on ARM64 only for TensorRT-LLM (vllm-runtime:*-cuda13 and sglang-runtime:*-cuda13 do not support multimodality on ARM64).

Python Wheels

We recommend using the TensorRT-LLM NGC container instead of the ai-dynamo[trtllm] wheel. See the NGC container collection for supported images.

Helm Charts

Rust Crates

Quick Install Commands

Container Images (NGC)

For detailed run instructions, see the Container README or backend-specific guides: vLLM | SGLang | TensorRT-LLM

$
# Runtime containers
$
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.1
$
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.1
$
docker pull nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.1.post1
$
$
# CUDA 13 variants (experimental)
$
# vLLM CUDA 13 image fails to launch (known issue)
$
# docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.1-cuda13
$
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.1-cuda13
$
$
# Infrastructure containers
$
docker pull nvcr.io/nvidia/ai-dynamo/dynamo-frontend:0.8.1
$
docker pull nvcr.io/nvidia/ai-dynamo/kubernetes-operator:0.8.1

Python Wheels (PyPI)

For detailed installation instructions, see the Local Quick Start in the README.

$
# Install Dynamo with a specific backend (Recommended)
$
uv pip install "ai-dynamo[vllm]==0.8.1.post1"
$
uv pip install "ai-dynamo[sglang]==0.8.1.post1"
$
# TensorRT-LLM requires the NVIDIA PyPI index and pip
$
pip install --pre --extra-index-url https://pypi.nvidia.com "ai-dynamo[trtllm]==0.8.1.post1"
$
$
# Install Dynamo core only
$
uv pip install ai-dynamo==0.8.1.post1
$
$
# Install standalone KVBM (Python 3.12 only)
$
uv pip install kvbm==0.8.1

Helm Charts (NGC)

For Kubernetes deployment instructions, see the Kubernetes Installation Guide.

$
helm install dynamo-crds oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-crds --version 0.8.1
$
helm install dynamo-platform oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform --version 0.8.1
$
helm install dynamo-graph oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-graph --version 0.8.1

Rust Crates (crates.io)

For API documentation, see each crate on docs.rs. To build Dynamo from source, see Building from Source.

$
cargo add dynamo-runtime@0.8.1
$
cargo add dynamo-llm@0.8.1
$
cargo add dynamo-async-openai@0.8.1
$
cargo add dynamo-parsers@0.8.1
$
cargo add dynamo-memory@0.8.1
$
cargo add dynamo-config@0.8.1

CUDA and Driver Requirements

For detailed CUDA toolkit versions and minimum driver requirements for each container image, see the Support Matrix.

Known Issues

For a complete list of known issues, refer to the release notes for each patch:

• v0.8.0 Release Notes
• v0.8.1 Release Notes

Known Artifact Issues

Release History

• v0.8.1.post1 Patch: Updated TRT-LLM to v1.2.0rc6.post2 (PyPI wheels and TRT-LLM container only)
• Standalone Frontend Container: dynamo-frontend added in v0.8.0
• CUDA 13 Runtimes: Experimental CUDA 13 runtime for vLLM and SGLang in v0.8.0
• New Rust Crates: dynamo-memory and dynamo-config added in v0.8.0

GitHub Releases

Container Images

NGC Collection: ai-dynamo

To access a specific version, append ?version=TAG to the container URL: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/{container}?version={tag}

vllm-runtime

sglang-runtime

tensorrtllm-runtime

dynamo-frontend

kubernetes-operator

Python Wheels

PyPI: ai-dynamo | ai-dynamo-runtime | kvbm

To access a specific version: https://pypi.org/project/{package}/{version}/

ai-dynamo (wheel)

ai-dynamo-runtime (wheel)

kvbm (wheel)

Helm Charts

NGC Helm Registry: ai-dynamo

Direct download: https://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/{chart}-{version}.tgz

dynamo-crds (Helm chart)

dynamo-platform (Helm chart)

dynamo-graph (Helm chart)

Rust Crates

crates.io: dynamo-runtime | dynamo-llm | dynamo-async-openai | dynamo-parsers | dynamo-memory | dynamo-config

To access a specific version: https://crates.io/crates/{crate}/{version}

dynamo-runtime (crate)

dynamo-llm (crate)

dynamo-async-openai (crate)

dynamo-parsers (crate)

dynamo-memory (crate)

dynamo-config (crate)