Release Artifacts
This page lists the published NVIDIA Dynamo release artifacts for the current stable release and where to find each one. Container images live on NVIDIA NGC under nvcr.io/nvidia/ai-dynamo/; every tag and install command below is click-to-copy.
See Compatibility for hardware, platform, and backend feature support, and Model Early Access Builds for per-model early access container builds.
Current Release
Release artifacts
24 artifacts for v1.3.07 container images for v1.3.03 Python wheels for v1.3.02 Helm charts for v1.3.012 Rust crates for v1.3.0
Runtime containers
vLLM backend runtime · vLLM v0.23.0 · CUDA 13.0 · AMD64/ARM64
SGLang backend runtime · SGLang v0.5.14 · CUDA 13.0 · AMD64/ARM64
TensorRT-LLM backend runtime · TRT-LLM v1.3.0rc19 · CUDA 13.1 · AMD64/ARM64
Component containers
OpenAI-compatible API gateway with Endpoint Prediction Protocol (EPP) · AMD64/ARM64
Standalone Planner used by Profiler jobs and Planner pods · AMD64/ARM64
Operator that manages Dynamo deployments and CRDs · AMD64/ARM64
Fast GPU worker recovery via CRIU · AMD64/ARM64
Python wheels
Main package with backend integrations (vLLM, SGLang, TRT-LLM) · Python 3.10–3.12 · Linux (glibc v2.28+)
Core Python bindings for the Dynamo runtime · Python 3.10–3.12 · Linux (glibc v2.28+)
KV Block Manager for disaggregated KV cache · Python 3.10–3.12 · Linux (glibc v2.28+)
Helm charts
Platform services (etcd, NATS) and the Dynamo Operator for a Dynamo cluster
Snapshot DaemonSet for fast GPU worker recovery
Rust crates
Core distributed runtime library · MSRV Rust v1.82
LLM inference engine · MSRV Rust v1.82
Async OpenAI-compatible API client · MSRV Rust v1.82
Legacy OpenAI client; use dynamo-protocols · MSRV Rust v1.82 · final release
Protocol parsers (SSE, JSON streaming) · MSRV Rust v1.82
Memory management utilities · MSRV Rust v1.82
Configuration management · MSRV Rust v1.82
Tokenizer bindings for LLM inference · MSRV Rust v1.82
Tokenizer library for LLM inference · MSRV Rust v1.82
Inference engine simulator for benchmarking · MSRV Rust v1.82
KV-aware request routing library · MSRV Rust v1.82
Logical layer for the KV Block Manager · MSRV Rust v1.82
Every tag and command is click-to-copy. For TensorRT-LLM use the NGC container — not the ai-dynamo[trtllm] wheel.
CUDA and driver requirements: for the CUDA toolkit versions and minimum drivers for each container image, see Compatibility.
Pinned Environment
One copy-paste block that pins every install path — the backend runtime container, frontend and operator images, Helm chart, and wheel — to the same release.
Pinned environment
Everything pinned to v1.3.0
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.3.0 docker pull nvcr.io/nvidia/ai-dynamo/dynamo-frontend:1.3.0 docker pull nvcr.io/nvidia/ai-dynamo/kubernetes-operator:1.3.0 helm install dynamo-platform \ oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform --version 1.3.0 uv pip install "ai-dynamo[sglang]==1.3.0.post1"
docker pull nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.3.0 docker pull nvcr.io/nvidia/ai-dynamo/dynamo-frontend:1.3.0 docker pull nvcr.io/nvidia/ai-dynamo/kubernetes-operator:1.3.0 helm install dynamo-platform \ oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform --version 1.3.0 # TensorRT-LLM ships via the NGC container
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.3.0 docker pull nvcr.io/nvidia/ai-dynamo/dynamo-frontend:1.3.0 docker pull nvcr.io/nvidia/ai-dynamo/kubernetes-operator:1.3.0 helm install dynamo-platform \ oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform --version 1.3.0 uv pip install "ai-dynamo[vllm]==1.3.0.post1"
Assembled from the current release's artifact inventory.
Known Issues
Known issues are tracked on the Known Issues reference page, including artifact-specific issues for older releases.
Early Access Artifacts
Early access artifacts do not go through QA validation. They are experimental previews intended for early testing and feedback, and may contain bugs, breaking changes, or incomplete features. Use stable releases for production workloads.
Model-specific early access builds (vX.Y.Z-<model>-dev.N) are tracked in Model Early Access Builds. Full-platform previews (vX.Y.Z-dev.N) are summarized here.
Installing early access wheels (pypi.nvidia.com)
Early access Python wheels are published on the NVIDIA package index at pypi.nvidia.com, not on the public PyPI index. Like stable wheels, they are Linux (manylinux) builds for the Python versions in Compatibility; pip/uv on macOS or Windows will not find matching wheels. A git tag v1.3.0-dev.N maps to a wheel version 1.3.0.devN:
Nightlies: ai-dynamo and ai-dynamo-runtime nightly builds from main publish wheels tagged *.devYYYYMMDD (since Apr 24, 2026). Install with the same --pre + extra-index pattern.
v1.3.0-dev.1
Full-platform preview of v1.3.0, cut from main after the TensorRT-LLM 1.3.0rc17 upgrade (Jun 9, 2026) and superseded by the v1.3.0 GA release. Backends: SGLang 0.5.12.post1 | TensorRT-LLM 1.3.0rc17 | vLLM 0.22.0.
Complete runtime and component container matrix, ai-dynamo / ai-dynamo-runtime / kvbm wheels at 1.3.0.dev1 on pypi.nvidia.com, Rust crates at 1.3.0-dev.1 on crates.io, and the dynamo-platform and snapshot Helm charts.
Tag Lookup
Reverse lookup for any tag on this page or in Model Early Access Builds: pick a tag to see the release or build it belongs to, the runtimes it applies to, and its status.
Tag lookup
Have a tag? Look it up.
13 known tags · current release + early access
Select a tag.
For the full release history — every release newest-first with its notes — see Releases.
Crates on crates.io — first publication
| Crate | First version | Published |
|---|---|---|
| dynamo-runtime | 0.1.0 | 2025-03-18 |
| dynamo-llm | 0.2.0 | 2025-05-01 |
| dynamo-async-openai | 0.4.1 | 2025-08-27 |
| dynamo-parsers | 0.5.0 | 2025-09-18 |
| dynamo-memory | 0.8.0 | 2026-01-15 |
| dynamo-config | 0.8.0 | 2026-01-15 |
| dynamo-tokens | 0.9.0 | 2026-02-12 |
| dynamo-mocker | 1.0.0 | 2026-03-13 |
| dynamo-kv-router | 1.0.0 | 2026-03-13 |
| dynamo-protocols | 1.1.0 | 2026-05-04 |
| dynamo-tokenizers | 1.2.0 | 2026-06-02 |
dynamo-async-openai is deprecated; 1.0.2 is its final release. Use dynamo-protocols for new dependencies.