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 v0.9.0

• GitHub Release: v0.9.0
• Docs: v0.9.0
• NGC Collection: ai-dynamo

Patch Release: v0.9.0.post1 (Feb 2026)

v0.9.0.post1 is a Helm-chart-only patch release on NGC (no GitHub release). It fixes the dynamo-platform Helm chart which incorrectly set the operator image tag to 0.7.1 instead of 0.9.0. Only the dynamo-platform chart was patched; all other artifacts remain at v0.9.0.

Workaround for v0.9.0 chart: If using the original v0.9.0 Helm chart, add this flag: --set dynamo-operator.controllerManager.manager.image.tag=0.9.0

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

Note: The dynamo-graph Helm chart is deprecated as of v0.9.0. Use the Kubernetes operator for deployment graph management.

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:0.9.0
$
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.9.0
$
docker pull nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.9.0
$
$
# CUDA 13 variants (experimental)
$
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.9.0-cuda13
$
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.9.0-cuda13
$
$
# Infrastructure containers
$
docker pull nvcr.io/nvidia/ai-dynamo/dynamo-frontend:0.9.0
$
docker pull nvcr.io/nvidia/ai-dynamo/kubernetes-operator:0.9.0

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]==0.9.0"
$
uv pip install "ai-dynamo[sglang]==0.9.0"
$
# TensorRT-LLM requires the NVIDIA PyPI index and pip
$
pip install --pre --extra-index-url https://pypi.nvidia.com "ai-dynamo[trtllm]==0.9.0"
$
$
# Install Dynamo core only
$
uv pip install ai-dynamo==0.9.0
$
$
# Install standalone KVBM (Python 3.12 only)
$
uv pip install kvbm==0.9.0

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 0.9.0
$
helm install dynamo-platform oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform --version 0.9.0-post1

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@0.9.0
$
cargo add dynamo-llm@0.9.0
$
cargo add dynamo-async-openai@0.9.0
$
cargo add dynamo-parsers@0.9.0
$
cargo add dynamo-memory@0.9.0
$
cargo add dynamo-config@0.9.0
$
cargo add dynamo-tokens@0.9.0

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 version:

• v0.9.0 Release Notes
• v0.8.1 Release Notes

Known Artifact Issues

Release History

• v0.9.0.post1: Fixed dynamo-platform Helm chart operator image tag (Helm chart only, NGC)
• v0.9.0: Updated vLLM to v0.14.1, SGLang to v0.5.8, TRT-LLM to v1.3.0rc1, NIXL to v0.9.0. New dynamo-tokens Rust crate. Deprecated dynamo-graph Helm chart.
• v0.8.1.post1/.post2/.post3 Patches: Experimental patch releases updating TRT-LLM only (PyPI wheels and TRT-LLM container). No other artifacts changed.

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) — Deprecated

Note: The dynamo-graph Helm chart is deprecated as of v0.9.0.

Rust Crates

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

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)

dynamo-tokens (crate)