Dynamo Release Artifacts

View as Markdown

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

Container Images

Image:TagDescriptionBackendCUDAArchNGCNotes
vllm-runtime:0.9.0Runtime container for vLLM backendvLLM v0.14.1v12.9AMD64/ARM64link
vllm-runtime:0.9.0-cuda13Runtime container for vLLM backend (CUDA 13)vLLM v0.14.1v13.0AMD64/ARM64*linkExperimental
sglang-runtime:0.9.0Runtime container for SGLang backendSGLang v0.5.8v12.9AMD64/ARM64link
sglang-runtime:0.9.0-cuda13Runtime container for SGLang backend (CUDA 13)SGLang v0.5.8v13.0AMD64/ARM64*linkExperimental
tensorrtllm-runtime:0.9.0Runtime container for TensorRT-LLM backendTRT-LLM v1.3.0rc1v13.0AMD64/ARM64link
dynamo-frontend:0.9.0API gateway with Endpoint Prediction Protocol (EPP)AMD64/ARM64link
kubernetes-operator:0.9.0Kubernetes operator for Dynamo deploymentsAMD64/ARM64link

* 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.

PackageDescriptionPythonPlatformPyPI
ai-dynamo==0.9.0Main package with backend integrations (vLLM, SGLang, TRT-LLM)3.103.12Linux (glibc v2.28+)link
ai-dynamo-runtime==0.9.0Core Python bindings for Dynamo runtime3.103.12Linux (glibc v2.28+)link
kvbm==0.9.0KV Block Manager for disaggregated KV cache3.12Linux (glibc v2.28+)link

Helm Charts

ChartDescriptionNGC
dynamo-crds-0.9.0Custom Resource Definitions for Dynamo Kubernetes resourceslink
dynamo-platform-0.9.0Platform services (etcd, NATS) for Dynamo clusterlink

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

Rust Crates

CrateDescriptionMSRV (Rust)crates.io
dynamo-runtime@0.9.0Core distributed runtime libraryv1.82link
dynamo-llm@0.9.0LLM inference enginev1.82link
dynamo-async-openai@0.9.0Async OpenAI-compatible API clientv1.82link
dynamo-parsers@0.9.0Protocol parsers (SSE, JSON streaming)v1.82link
dynamo-memory@0.9.0Memory management utilitiesv1.82link
dynamo-config@0.9.0Configuration managementv1.82link
dynamo-tokens@0.9.0Tokenizer bindings for LLM inferencev1.82link

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

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:

Known Artifact Issues

VersionArtifactIssueStatus
v0.8.1vllm-runtime:0.8.1-cuda13Container fails to launch.Known issue
v0.8.1sglang-runtime:0.8.1-cuda13, vllm-runtime:0.8.1-cuda13Multimodality not expected to work on ARM64. Works on AMD64.Known limitation

Release History

  • 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

VersionRelease DateGitHubDocs
v0.9.0Feb 11, 2026ReleaseDocs
v0.8.1Jan 23, 2026ReleaseDocs
v0.8.0Jan 15, 2026ReleaseDocs
v0.7.1Dec 15, 2025ReleaseDocs
v0.7.0Nov 26, 2025ReleaseDocs
v0.6.1Nov 6, 2025ReleaseDocs
v0.6.0Oct 28, 2025ReleaseDocs

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

Image:TagvLLMArchCUDANotes
vllm-runtime:0.9.0v0.14.1AMD64/ARM64v12.9
vllm-runtime:0.9.0-cuda13v0.14.1AMD64/ARM64*v13.0Experimental
vllm-runtime:0.8.1v0.12.0AMD64/ARM64v12.9
vllm-runtime:0.8.0v0.12.0AMD64/ARM64v12.9
vllm-runtime:0.8.0-cuda13v0.12.0AMD64/ARM64v13.0Experimental
vllm-runtime:0.7.0.post2v0.11.2AMD64/ARM64v12.8Patch
vllm-runtime:0.7.1v0.11.0AMD64/ARM64v12.8
vllm-runtime:0.7.0.post1v0.11.0AMD64/ARM64v12.8Patch
vllm-runtime:0.7.0v0.11.0AMD64/ARM64v12.8
vllm-runtime:0.6.1.post1v0.11.0AMD64/ARM64v12.8Patch
vllm-runtime:0.6.1v0.11.0AMD64/ARM64v12.8
vllm-runtime:0.6.0v0.11.0AMD64v12.8

sglang-runtime

Image:TagSGLangArchCUDANotes
sglang-runtime:0.9.0v0.5.8AMD64/ARM64v12.9
sglang-runtime:0.9.0-cuda13v0.5.8AMD64/ARM64*v13.0Experimental
sglang-runtime:0.8.1v0.5.6.post2AMD64/ARM64v12.9
sglang-runtime:0.8.1-cuda13v0.5.6.post2AMD64/ARM64v13.0Experimental
sglang-runtime:0.8.0v0.5.6.post2AMD64/ARM64v12.9
sglang-runtime:0.8.0-cuda13v0.5.6.post2AMD64/ARM64v13.0Experimental
sglang-runtime:0.7.1v0.5.4.post3AMD64/ARM64v12.9
sglang-runtime:0.7.0.post1v0.5.4.post3AMD64/ARM64v12.9Patch
sglang-runtime:0.7.0v0.5.4.post3AMD64/ARM64v12.9
sglang-runtime:0.6.1.post1v0.5.3.post2AMD64/ARM64v12.9Patch
sglang-runtime:0.6.1v0.5.3.post2AMD64/ARM64v12.9
sglang-runtime:0.6.0v0.5.3.post2AMD64v12.8

tensorrtllm-runtime

Image:TagTRT-LLMArchCUDANotes
tensorrtllm-runtime:0.9.0v1.3.0rc1AMD64/ARM64v13.0
tensorrtllm-runtime:0.8.1.post3v1.2.0rc6.post3AMD64/ARM64v13.0Patch
tensorrtllm-runtime:0.8.1.post1v1.2.0rc6.post2AMD64/ARM64v13.0Patch
tensorrtllm-runtime:0.8.1v1.2.0rc6.post1AMD64/ARM64v13.0
tensorrtllm-runtime:0.8.0v1.2.0rc6.post1AMD64/ARM64v13.0
tensorrtllm-runtime:0.7.0.post2v1.2.0rc2AMD64/ARM64v13.0Patch
tensorrtllm-runtime:0.7.1v1.2.0rc3AMD64/ARM64v13.0
tensorrtllm-runtime:0.7.0.post1v1.2.0rc3AMD64/ARM64v13.0Patch
tensorrtllm-runtime:0.7.0v1.2.0rc2AMD64/ARM64v13.0
tensorrtllm-runtime:0.6.1-cuda13v1.2.0rc1AMD64/ARM64v13.0Experimental
tensorrtllm-runtime:0.6.1.post1v1.1.0rc5AMD64/ARM64v12.9Patch
tensorrtllm-runtime:0.6.1v1.1.0rc5AMD64/ARM64v12.9
tensorrtllm-runtime:0.6.0v1.1.0rc5AMD64/ARM64v12.9

dynamo-frontend

Image:TagArchNotes
dynamo-frontend:0.9.0AMD64/ARM64
dynamo-frontend:0.8.1AMD64/ARM64
dynamo-frontend:0.8.0AMD64/ARM64Initial

kubernetes-operator

Image:TagArchNotes
kubernetes-operator:0.9.0AMD64/ARM64
kubernetes-operator:0.8.1AMD64/ARM64
kubernetes-operator:0.8.0AMD64/ARM64
kubernetes-operator:0.7.1AMD64/ARM64
kubernetes-operator:0.7.0.post1AMD64/ARM64Patch
kubernetes-operator:0.7.0AMD64/ARM64
kubernetes-operator:0.6.1AMD64/ARM64
kubernetes-operator:0.6.0AMD64/ARM64

Python Wheels

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

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

ai-dynamo (wheel)

PackagePythonPlatformNotes
ai-dynamo==0.9.03.103.12Linux (glibc v2.28+)
ai-dynamo==0.8.1.post33.103.12Linux (glibc v2.28+)TRT-LLM v1.2.0rc6.post3
ai-dynamo==0.8.1.post13.103.12Linux (glibc v2.28+)TRT-LLM v1.2.0rc6.post2
ai-dynamo==0.8.13.103.12Linux (glibc v2.28+)
ai-dynamo==0.8.03.103.12Linux (glibc v2.28+)
ai-dynamo==0.7.13.103.12Linux (glibc v2.28+)
ai-dynamo==0.7.03.103.12Linux (glibc v2.28+)
ai-dynamo==0.6.13.103.12Linux (glibc v2.28+)
ai-dynamo==0.6.03.103.12Linux (glibc v2.28+)

ai-dynamo-runtime (wheel)

PackagePythonPlatformNotes
ai-dynamo-runtime==0.9.03.103.12Linux (glibc v2.28+)
ai-dynamo-runtime==0.8.1.post33.103.12Linux (glibc v2.28+)TRT-LLM v1.2.0rc6.post3
ai-dynamo-runtime==0.8.1.post13.103.12Linux (glibc v2.28+)TRT-LLM v1.2.0rc6.post2
ai-dynamo-runtime==0.8.13.103.12Linux (glibc v2.28+)
ai-dynamo-runtime==0.8.03.103.12Linux (glibc v2.28+)
ai-dynamo-runtime==0.7.13.103.12Linux (glibc v2.28+)
ai-dynamo-runtime==0.7.03.103.12Linux (glibc v2.28+)
ai-dynamo-runtime==0.6.13.103.12Linux (glibc v2.28+)
ai-dynamo-runtime==0.6.03.103.12Linux (glibc v2.28+)

kvbm (wheel)

PackagePythonPlatformNotes
kvbm==0.9.03.12Linux (glibc v2.28+)
kvbm==0.8.13.12Linux (glibc v2.28+)
kvbm==0.8.03.12Linux (glibc v2.28+)
kvbm==0.7.13.12Linux (glibc v2.28+)
kvbm==0.7.03.12Linux (glibc v2.28+)Initial

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)

ChartNotes
dynamo-crds-0.9.0
dynamo-crds-0.8.1
dynamo-crds-0.8.0
dynamo-crds-0.7.1
dynamo-crds-0.7.0
dynamo-crds-0.6.1
dynamo-crds-0.6.0

dynamo-platform (Helm chart)

ChartNotes
dynamo-platform-0.9.0
dynamo-platform-0.8.1
dynamo-platform-0.8.0
dynamo-platform-0.7.1
dynamo-platform-0.7.0
dynamo-platform-0.6.1
dynamo-platform-0.6.0

dynamo-graph (Helm chart) — Deprecated

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

ChartNotes
dynamo-graph-0.8.1Last release
dynamo-graph-0.8.0
dynamo-graph-0.7.1
dynamo-graph-0.7.0
dynamo-graph-0.6.1
dynamo-graph-0.6.0

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)

CrateMSRV (Rust)Notes
dynamo-runtime@0.9.0v1.82
dynamo-runtime@0.8.1v1.82
dynamo-runtime@0.8.0v1.82
dynamo-runtime@0.7.1v1.82
dynamo-runtime@0.7.0v1.82
dynamo-runtime@0.6.1v1.82
dynamo-runtime@0.6.0v1.82

dynamo-llm (crate)

CrateMSRV (Rust)Notes
dynamo-llm@0.9.0v1.82
dynamo-llm@0.8.1v1.82
dynamo-llm@0.8.0v1.82
dynamo-llm@0.7.1v1.82
dynamo-llm@0.7.0v1.82
dynamo-llm@0.6.1v1.82
dynamo-llm@0.6.0v1.82

dynamo-async-openai (crate)

CrateMSRV (Rust)Notes
dynamo-async-openai@0.9.0v1.82
dynamo-async-openai@0.8.1v1.82
dynamo-async-openai@0.8.0v1.82
dynamo-async-openai@0.7.1v1.82
dynamo-async-openai@0.7.0v1.82
dynamo-async-openai@0.6.1v1.82
dynamo-async-openai@0.6.0v1.82

dynamo-parsers (crate)

CrateMSRV (Rust)Notes
dynamo-parsers@0.9.0v1.82
dynamo-parsers@0.8.1v1.82
dynamo-parsers@0.8.0v1.82
dynamo-parsers@0.7.1v1.82
dynamo-parsers@0.7.0v1.82
dynamo-parsers@0.6.1v1.82
dynamo-parsers@0.6.0v1.82

dynamo-memory (crate)

CrateMSRV (Rust)Notes
dynamo-memory@0.9.0v1.82
dynamo-memory@0.8.1v1.82
dynamo-memory@0.8.0v1.82Initial

dynamo-config (crate)

CrateMSRV (Rust)Notes
dynamo-config@0.9.0v1.82
dynamo-config@0.8.1v1.82
dynamo-config@0.8.0v1.82Initial

dynamo-tokens (crate)

CrateMSRV (Rust)Notes
dynamo-tokens@0.9.0v1.82Initial