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 v1.0.0

• GitHub Release: v1.0.0
• Docs: v1.0.0
• NGC Collection: ai-dynamo

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)

$
# Runtime containers
$
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
$
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
$
docker pull nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
$
$
# CUDA 13 variants
$
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0-cuda13
$
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0-cuda13
$
$
# EFA variants (AWS, AMD64 only, experimental)
$
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0-efa-amd64
$
docker pull nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0-efa-amd64
$
$
# Infrastructure containers
$
docker pull nvcr.io/nvidia/ai-dynamo/dynamo-frontend:1.0.0
$
docker pull nvcr.io/nvidia/ai-dynamo/kubernetes-operator:1.0.0
$
docker pull nvcr.io/nvidia/ai-dynamo/snapshot-agent:1.0.0

Python Wheels (PyPI)

$
# Install Dynamo with a specific backend (Recommended)
$
uv pip install "ai-dynamo[vllm]==1.0.0"
$
uv pip install "ai-dynamo[sglang]==1.0.0"
$
# TensorRT-LLM requires the NVIDIA PyPI index and pip
$
pip install --pre --extra-index-url https://pypi.nvidia.com "ai-dynamo[trtllm]==1.0.0"
$
$
# Install Dynamo core only
$
uv pip install ai-dynamo==1.0.0
$
$
# Install standalone KVBM (Python 3.12 only)
$
uv pip install kvbm==1.0.0

Helm Charts (NGC)

$
helm install dynamo-platform oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform --version 1.0.0
$
helm install snapshot oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/snapshot --version 1.0.0

Rust Crates (crates.io)

$
cargo add dynamo-runtime@1.0.0
$
cargo add dynamo-llm@1.0.0
$
cargo add dynamo-async-openai@1.0.0
$
cargo add dynamo-parsers@1.0.0
$
cargo add dynamo-memory@1.0.0
$
cargo add dynamo-config@1.0.0
$
cargo add dynamo-tokens@1.0.0
$
cargo add dynamo-mocker@1.0.0
$
cargo add dynamo-kv-router@1.0.0

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:

• v1.0.0 Release Notes
• v0.9.0 Release Notes
• v0.8.1 Release Notes

Known Artifact Issues

Release History

• v1.0.0: First major release. SGLang v0.5.9, TRT-LLM v1.3.0rc5.post1 (CUDA 13.1), vLLM v0.16.0, NIXL v0.10.1. New snapshot-agent container and snapshot Helm chart (Preview). New EFA container variants for vLLM and TRT-LLM (Experimental, AMD64 only). New dynamo-mocker and dynamo-kv-router Rust crates. Deprecated dynamo-crds Helm chart (CRDs now managed by the Operator). v1alpha1 CRDs deprecated.
• v0.9.1: Updated TRT-LLM to v1.3.0rc3. All other backend versions unchanged from v0.9.0.
• 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.
• Standalone Frontend Container: dynamo-frontend added in v0.8.0
• EFA Runtimes: Experimental AWS EFA variants for vLLM and TRT-LLM (AMD64 only) in v1.0.0
• CUDA 13 Runtimes: Experimental CUDA 13 runtime for SGLang and vLLM 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

snapshot-agent

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) — Deprecated

dynamo-platform (Helm chart)

snapshot (Helm chart)

dynamo-graph (Helm chart) — Deprecated

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)

dynamo-mocker (crate)

dynamo-kv-router (crate)