| title | 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.
Experimental: v1.1.0-dev.1 is available as an experimental preview. See Pre-Release Artifacts for container images, wheels, and Helm charts.
| Image:Tag | Description | Backend | CUDA | Arch | NGC | Notes |
|---|---|---|---|---|---|---|
vllm-runtime:1.0.1 |
Runtime container for vLLM backend | vLLM v0.16.0 |
v12.9 |
AMD64/ARM64 | link | |
vllm-runtime:1.0.1-cuda13 |
Runtime container for vLLM backend (CUDA 13) | vLLM v0.16.0 |
v13.0 |
AMD64/ARM64* | link | |
vllm-runtime:1.0.1-efa-amd64 |
Runtime container for vLLM with AWS EFA | vLLM v0.16.0 |
v12.9 |
AMD64 | link | Experimental |
sglang-runtime:1.0.1 |
Runtime container for SGLang backend | SGLang v0.5.9 |
v12.9 |
AMD64/ARM64 | link | |
sglang-runtime:1.0.1-cuda13 |
Runtime container for SGLang backend (CUDA 13) | SGLang v0.5.9 |
v13.0 |
AMD64/ARM64* | link | |
tensorrtllm-runtime:1.0.1 |
Runtime container for TensorRT-LLM backend | TRT-LLM v1.3.0rc5.post1 |
v13.1 |
AMD64/ARM64 | link | |
tensorrtllm-runtime:1.0.1-efa-amd64 |
Runtime container for TensorRT-LLM with AWS EFA | TRT-LLM v1.3.0rc5.post1 |
v13.1 |
AMD64 | link | Experimental |
dynamo-frontend:1.0.1 |
API gateway with Endpoint Prediction Protocol (EPP) | — | — | AMD64/ARM64 | link | |
kubernetes-operator:1.0.1 |
Kubernetes operator for Dynamo deployments | — | — | AMD64/ARM64 | link | |
snapshot-agent:1.0.1 |
Snapshot agent for fast GPU worker recovery via CRIU | — | — | AMD64/ARM64 | link | Preview |
* 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).
We recommend using the TensorRT-LLM NGC container instead of the ai-dynamo[trtllm] wheel. See the NGC container collection for supported images.
| Package | Description | Python | Platform | PyPI |
|---|---|---|---|---|
ai-dynamo==1.0.1 |
Main package with backend integrations (vLLM, SGLang, TRT-LLM) | 3.10–3.12 |
Linux (glibc v2.28+) |
link |
ai-dynamo-runtime==1.0.1 |
Core Python bindings for Dynamo runtime | 3.10–3.12 |
Linux (glibc v2.28+) |
link |
kvbm==1.0.1 |
KV Block Manager for disaggregated KV cache | 3.12 |
Linux (glibc v2.28+) |
link |
| Chart | Description | NGC |
|---|---|---|
dynamo-platform-1.0.1 |
Platform services (etcd, NATS) and Dynamo Operator for Dynamo cluster | link |
snapshot-1.0.1 |
Snapshot DaemonSet for fast GPU worker recovery | link |
Note
The dynamo-crds Helm chart is deprecated as of v1.0.0; CRDs are now managed by the Dynamo Operator. The dynamo-graph Helm chart is deprecated as of v0.9.0.
| Crate | Description | MSRV (Rust) | crates.io |
|---|---|---|---|
dynamo-runtime@1.0.1 |
Core distributed runtime library | v1.82 |
link |
dynamo-llm@1.0.1 |
LLM inference engine | v1.82 |
link |
dynamo-protocols@1.0.1 |
Async OpenAI-compatible API client | v1.82 |
link |
dynamo-parsers@1.0.1 |
Protocol parsers (SSE, JSON streaming) | v1.82 |
link |
dynamo-memory@1.0.1 |
Memory management utilities | v1.82 |
link |
dynamo-config@1.0.1 |
Configuration management | v1.82 |
link |
dynamo-tokens@1.0.1 |
Tokenizer bindings for LLM inference | v1.82 |
link |
dynamo-mocker@1.0.1 |
Inference engine simulator for benchmarking | v1.82 |
link |
dynamo-kv-router@1.0.1 |
KV-aware request routing library | v1.82 |
link |
Tip
For detailed run instructions, see the backend-specific guides: vLLM | SGLang | TensorRT-LLM
# Runtime containers
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.1
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.1
docker pull nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.1
# CUDA 13 variants
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.1-cuda13
docker pull nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.1-cuda13
# EFA variants (AWS, AMD64 only, experimental)
docker pull nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.1-efa-amd64
docker pull nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.1-efa-amd64
# Infrastructure containers
docker pull nvcr.io/nvidia/ai-dynamo/dynamo-frontend:1.0.1
docker pull nvcr.io/nvidia/ai-dynamo/kubernetes-operator:1.0.1
docker pull nvcr.io/nvidia/ai-dynamo/snapshot-agent:1.0.1Tip
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]==1.0.1"
uv pip install "ai-dynamo[sglang]==1.0.1"
# TensorRT-LLM requires the NVIDIA PyPI index and pip
pip install --pre --extra-index-url https://pypi.nvidia.com "ai-dynamo[trtllm]==1.0.1"
# Install Dynamo core only
uv pip install ai-dynamo==1.0.1
# Install standalone KVBM (Python 3.12 only)
uv pip install kvbm==1.0.1Tip
For Kubernetes deployment instructions, see the Kubernetes Installation Guide.
helm install dynamo-platform oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/dynamo-platform --version 1.0.1
helm install snapshot oci://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/snapshot --version 1.0.1Tip
For API documentation, see each crate on docs.rs. To build Dynamo from source, see Building from Source.
cargo add dynamo-runtime@1.0.1
cargo add dynamo-llm@1.0.1
cargo add dynamo-protocols@1.0.1
cargo add dynamo-parsers@1.0.1
cargo add dynamo-memory@1.0.1
cargo add dynamo-config@1.0.1
cargo add dynamo-tokens@1.0.1
cargo add dynamo-mocker@1.0.1
cargo add dynamo-kv-router@1.0.1CUDA and Driver Requirements: For detailed CUDA toolkit versions and minimum driver requirements for each container image, see the Support Matrix.
For a complete list of known issues, refer to the release notes for each version:
| Version | Artifact | Issue | Status |
|---|---|---|---|
| v0.9.0 | dynamo-platform-0.9.0 |
Helm chart sets operator image to 0.7.1 instead of 0.9.0. |
Fixed in v0.9.0.post1 |
| v0.8.1 | vllm-runtime:0.8.1-cuda13 |
Container fails to launch. | Known issue |
| v0.8.1 | sglang-runtime:0.8.1-cuda13, vllm-runtime:0.8.1-cuda13 |
Multimodality not expected to work on ARM64. Works on AMD64. | Known limitation |
| v0.8.0 | sglang-runtime:0.8.0-cuda13 |
CuDNN installation issue caused PyTorch v2.9.1 compatibility problems with nn.Conv3d, resulting in performance degradation and excessive memory usage in multimodal workloads. |
Fixed in v0.8.1 (#5461) |
- v1.1.0-dev.1 (experimental): Preview release. SGLang
v0.5.9, TRT-LLMv1.3.0rc5.post1, vLLMv0.17.1, NIXLv0.10.1. Not recommended for production use. - v1.0.1: Patch release. Same backend versions as v1.0.0: SGLang
v0.5.9, TRT-LLMv1.3.0rc5.post1, vLLMv0.16.0, NIXLv0.10.1. - v1.0.0: First major release. SGLang
v0.5.9, TRT-LLMv1.3.0rc5.post1(CUDA 13.1), vLLMv0.16.0, NIXLv0.10.1. Newsnapshot-agentcontainer andsnapshotHelm chart (Preview). New EFA container variants for vLLM and TRT-LLM (Experimental, AMD64 only). Newdynamo-mockeranddynamo-kv-routerRust crates. Deprecateddynamo-crdsHelm chart (CRDs now managed by the Operator).v1alpha1CRDs 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-platformHelm chart operator image tag (Helm chart only, NGC) - v0.9.0: Updated vLLM to
v0.14.1, SGLang tov0.5.8, TRT-LLM tov1.3.0rc1, NIXL tov0.9.0. Newdynamo-tokensRust crate. Deprecateddynamo-graphHelm 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-frontendadded 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-memoryanddynamo-configadded in v0.8.0
| Version | Release Date | GitHub | Docs | Notes |
|---|---|---|---|---|
v1.1.0-dev.1 |
Mar 17, 2026 | Branch | — | Experimental |
v1.0.1 |
Mar 16, 2026 | Release | Docs | |
v1.0.0 |
Mar 12, 2026 | Release | Docs | |
v0.9.1 |
Mar 4, 2026 | Release | Docs | |
v0.9.0 |
Feb 11, 2026 | Release | Archived docs unavailable | |
v0.8.1 |
Jan 23, 2026 | Release | Archived docs unavailable | |
v0.8.0 |
Jan 15, 2026 | Release | Archived docs unavailable | |
v0.7.1 |
Dec 15, 2025 | Release | Archived docs unavailable | |
v0.7.0 |
Nov 26, 2025 | Release | Archived docs unavailable | |
v0.6.1 |
Nov 6, 2025 | Release | — | |
v0.6.0 |
Oct 28, 2025 | Release | — |
NGC Collection: ai-dynamo
To access a specific version, append
?version=TAGto the container URL:https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/{container}?version={tag}
| Image:Tag | vLLM | Arch | CUDA | Notes |
|---|---|---|---|---|
vllm-runtime:1.0.1 |
v0.16.0 |
AMD64/ARM64 | v12.9 |
|
vllm-runtime:1.0.1-cuda13 |
v0.16.0 |
AMD64/ARM64* | v13.0 |
|
vllm-runtime:1.0.1-efa-amd64 |
v0.16.0 |
AMD64 | v12.9 |
Experimental |
vllm-runtime:1.0.0 |
v0.16.0 |
AMD64/ARM64 | v12.9 |
|
vllm-runtime:1.0.0-cuda13 |
v0.16.0 |
AMD64/ARM64* | v13.0 |
|
vllm-runtime:1.0.0-efa-amd64 |
v0.16.0 |
AMD64 | v12.9 |
Experimental |
vllm-runtime:0.9.1 |
v0.14.1 |
AMD64/ARM64 | v12.9 |
|
vllm-runtime:0.9.1-cuda13 |
v0.14.1 |
AMD64/ARM64* | v13.0 |
Experimental |
vllm-runtime:0.9.0 |
v0.14.1 |
AMD64/ARM64 | v12.9 |
|
vllm-runtime:0.9.0-cuda13 |
v0.14.1 |
AMD64/ARM64* | v13.0 |
Experimental |
vllm-runtime:0.8.1 |
v0.12.0 |
AMD64/ARM64 | v12.9 |
|
vllm-runtime:0.8.0 |
v0.12.0 |
AMD64/ARM64 | v12.9 |
|
vllm-runtime:0.8.0-cuda13 |
v0.12.0 |
AMD64/ARM64 | v13.0 |
Experimental |
vllm-runtime:0.7.0.post2 |
v0.11.2 |
AMD64/ARM64 | v12.8 |
Patch |
vllm-runtime:0.7.1 |
v0.11.0 |
AMD64/ARM64 | v12.8 |
|
vllm-runtime:0.7.0.post1 |
v0.11.0 |
AMD64/ARM64 | v12.8 |
Patch |
vllm-runtime:0.7.0 |
v0.11.0 |
AMD64/ARM64 | v12.8 |
|
vllm-runtime:0.6.1.post1 |
v0.11.0 |
AMD64/ARM64 | v12.8 |
Patch |
vllm-runtime:0.6.1 |
v0.11.0 |
AMD64/ARM64 | v12.8 |
|
vllm-runtime:0.6.0 |
v0.11.0 |
AMD64 | v12.8 |
| Image:Tag | SGLang | Arch | CUDA | Notes |
|---|---|---|---|---|
sglang-runtime:1.0.1 |
v0.5.9 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:1.0.1-cuda13 |
v0.5.9 |
AMD64/ARM64* | v13.0 |
|
sglang-runtime:1.0.0 |
v0.5.9 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:1.0.0-cuda13 |
v0.5.9 |
AMD64/ARM64* | v13.0 |
|
sglang-runtime:0.9.1 |
v0.5.8 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:0.9.1-cuda13 |
v0.5.8 |
AMD64/ARM64* | v13.0 |
Experimental |
sglang-runtime:0.9.0 |
v0.5.8 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:0.9.0-cuda13 |
v0.5.8 |
AMD64/ARM64* | v13.0 |
Experimental |
sglang-runtime:0.8.1 |
v0.5.6.post2 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:0.8.1-cuda13 |
v0.5.6.post2 |
AMD64/ARM64 | v13.0 |
Experimental |
sglang-runtime:0.8.0 |
v0.5.6.post2 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:0.8.0-cuda13 |
v0.5.6.post2 |
AMD64/ARM64 | v13.0 |
Experimental |
sglang-runtime:0.7.1 |
v0.5.4.post3 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:0.7.0.post1 |
v0.5.4.post3 |
AMD64/ARM64 | v12.9 |
Patch |
sglang-runtime:0.7.0 |
v0.5.4.post3 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:0.6.1.post1 |
v0.5.3.post2 |
AMD64/ARM64 | v12.9 |
Patch |
sglang-runtime:0.6.1 |
v0.5.3.post2 |
AMD64/ARM64 | v12.9 |
|
sglang-runtime:0.6.0 |
v0.5.3.post2 |
AMD64 | v12.8 |
| Image:Tag | TRT-LLM | Arch | CUDA | Notes |
|---|---|---|---|---|
tensorrtllm-runtime:1.0.1 |
v1.3.0rc5.post1 |
AMD64/ARM64 | v13.1 |
|
tensorrtllm-runtime:1.0.1-efa-amd64 |
v1.3.0rc5.post1 |
AMD64 | v13.1 |
Experimental |
tensorrtllm-runtime:1.0.0 |
v1.3.0rc5.post1 |
AMD64/ARM64 | v13.1 |
|
tensorrtllm-runtime:1.0.0-efa-amd64 |
v1.3.0rc5.post1 |
AMD64 | v13.1 |
Experimental |
tensorrtllm-runtime:0.9.1 |
v1.3.0rc3 |
AMD64/ARM64 | v13.0 |
|
tensorrtllm-runtime:0.9.0 |
v1.3.0rc1 |
AMD64/ARM64 | v13.0 |
|
tensorrtllm-runtime:0.8.1.post3 |
v1.2.0rc6.post3 |
AMD64/ARM64 | v13.0 |
Patch |
tensorrtllm-runtime:0.8.1.post1 |
v1.2.0rc6.post2 |
AMD64/ARM64 | v13.0 |
Patch |
tensorrtllm-runtime:0.8.1 |
v1.2.0rc6.post1 |
AMD64/ARM64 | v13.0 |
|
tensorrtllm-runtime:0.8.0 |
v1.2.0rc6.post1 |
AMD64/ARM64 | v13.0 |
|
tensorrtllm-runtime:0.7.0.post2 |
v1.2.0rc2 |
AMD64/ARM64 | v13.0 |
Patch |
tensorrtllm-runtime:0.7.1 |
v1.2.0rc3 |
AMD64/ARM64 | v13.0 |
|
tensorrtllm-runtime:0.7.0.post1 |
v1.2.0rc3 |
AMD64/ARM64 | v13.0 |
Patch |
tensorrtllm-runtime:0.7.0 |
v1.2.0rc2 |
AMD64/ARM64 | v13.0 |
|
tensorrtllm-runtime:0.6.1-cuda13 |
v1.2.0rc1 |
AMD64/ARM64 | v13.0 |
Experimental |
tensorrtllm-runtime:0.6.1.post1 |
v1.1.0rc5 |
AMD64/ARM64 | v12.9 |
Patch |
tensorrtllm-runtime:0.6.1 |
v1.1.0rc5 |
AMD64/ARM64 | v12.9 |
|
tensorrtllm-runtime:0.6.0 |
v1.1.0rc5 |
AMD64/ARM64 | v12.9 |
| Image:Tag | Arch | Notes |
|---|---|---|
dynamo-frontend:1.0.1 |
AMD64/ARM64 | |
dynamo-frontend:1.0.0 |
AMD64/ARM64 | |
dynamo-frontend:0.9.1 |
AMD64/ARM64 | |
dynamo-frontend:0.9.0 |
AMD64/ARM64 | |
dynamo-frontend:0.8.1 |
AMD64/ARM64 | |
dynamo-frontend:0.8.0 |
AMD64/ARM64 | Initial |
| Image:Tag | Arch | Notes |
|---|---|---|
kubernetes-operator:1.0.1 |
AMD64/ARM64 | |
kubernetes-operator:1.0.0 |
AMD64/ARM64 | |
kubernetes-operator:0.9.1 |
AMD64/ARM64 | |
kubernetes-operator:0.9.0 |
AMD64/ARM64 | |
kubernetes-operator:0.8.1 |
AMD64/ARM64 | |
kubernetes-operator:0.8.0 |
AMD64/ARM64 | |
kubernetes-operator:0.7.1 |
AMD64/ARM64 | |
kubernetes-operator:0.7.0.post1 |
AMD64/ARM64 | Patch |
kubernetes-operator:0.7.0 |
AMD64/ARM64 | |
kubernetes-operator:0.6.1 |
AMD64/ARM64 | |
kubernetes-operator:0.6.0 |
AMD64/ARM64 |
| Image:Tag | Arch | Notes |
|---|---|---|
snapshot-agent:1.0.1 |
AMD64/ARM64 | Preview |
snapshot-agent:1.0.0 |
AMD64/ARM64 | Preview |
PyPI: ai-dynamo | ai-dynamo-runtime | kvbm
To access a specific version:
https://pypi.org/project/{package}/{version}/
| Package | Python | Platform | Notes |
|---|---|---|---|
ai-dynamo==1.0.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==1.0.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.9.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.9.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.8.1.post3 |
3.10–3.12 |
Linux (glibc v2.28+) |
TRT-LLM v1.2.0rc6.post3 |
ai-dynamo==0.8.1.post1 |
3.10–3.12 |
Linux (glibc v2.28+) |
TRT-LLM v1.2.0rc6.post2 |
ai-dynamo==0.8.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.8.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.7.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.7.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.6.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo==0.6.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
| Package | Python | Platform | Notes |
|---|---|---|---|
ai-dynamo-runtime==1.0.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==1.0.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.9.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.9.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.8.1.post3 |
3.10–3.12 |
Linux (glibc v2.28+) |
TRT-LLM v1.2.0rc6.post3 |
ai-dynamo-runtime==0.8.1.post1 |
3.10–3.12 |
Linux (glibc v2.28+) |
TRT-LLM v1.2.0rc6.post2 |
ai-dynamo-runtime==0.8.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.8.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.7.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.7.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.6.1 |
3.10–3.12 |
Linux (glibc v2.28+) |
|
ai-dynamo-runtime==0.6.0 |
3.10–3.12 |
Linux (glibc v2.28+) |
| Package | Python | Platform | Notes |
|---|---|---|---|
kvbm==1.0.1 |
3.12 |
Linux (glibc v2.28+) |
|
kvbm==1.0.0 |
3.12 |
Linux (glibc v2.28+) |
|
kvbm==0.9.1 |
3.12 |
Linux (glibc v2.28+) |
|
kvbm==0.9.0 |
3.12 |
Linux (glibc v2.28+) |
|
kvbm==0.8.1 |
3.12 |
Linux (glibc v2.28+) |
|
kvbm==0.8.0 |
3.12 |
Linux (glibc v2.28+) |
|
kvbm==0.7.1 |
3.12 |
Linux (glibc v2.28+) |
|
kvbm==0.7.0 |
3.12 |
Linux (glibc v2.28+) |
Initial |
NGC Helm Registry: ai-dynamo
Direct download:
https://helm.ngc.nvidia.com/nvidia/ai-dynamo/charts/{chart}-{version}.tgz
Note
The dynamo-crds Helm chart is deprecated as of v1.0.0. CRDs are now managed by the Dynamo Operator.
| Chart | Notes |
|---|---|
dynamo-crds-0.9.1 |
Last release |
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 |
| Chart | Notes |
|---|---|
dynamo-platform-1.0.1 |
|
dynamo-platform-1.0.0 |
|
dynamo-platform-0.9.1 |
|
dynamo-platform-0.9.0-post1 |
Helm fix: operator image tag |
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 |
| Chart | Notes |
|---|---|
snapshot-1.0.1 |
Preview |
snapshot-1.0.0 |
Preview |
Note
The dynamo-graph Helm chart is deprecated as of v0.9.0.
| Chart | Notes |
|---|---|
dynamo-graph-0.8.1 |
Last 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 |
crates.io: dynamo-runtime | dynamo-llm | dynamo-protocols | dynamo-parsers | dynamo-memory | dynamo-config | dynamo-tokens
To access a specific version:
https://crates.io/crates/{crate}/{version}
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-runtime@1.0.1 |
v1.82 |
|
dynamo-runtime@1.0.0 |
v1.82 |
|
dynamo-runtime@0.9.1 |
v1.82 |
|
dynamo-runtime@0.9.0 |
v1.82 |
|
dynamo-runtime@0.8.1 |
v1.82 |
|
dynamo-runtime@0.8.0 |
v1.82 |
|
dynamo-runtime@0.7.1 |
v1.82 |
|
dynamo-runtime@0.7.0 |
v1.82 |
|
dynamo-runtime@0.6.1 |
v1.82 |
|
dynamo-runtime@0.6.0 |
v1.82 |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-llm@1.0.1 |
v1.82 |
|
dynamo-llm@1.0.0 |
v1.82 |
|
dynamo-llm@0.9.1 |
v1.82 |
|
dynamo-llm@0.9.0 |
v1.82 |
|
dynamo-llm@0.8.1 |
v1.82 |
|
dynamo-llm@0.8.0 |
v1.82 |
|
dynamo-llm@0.7.1 |
v1.82 |
|
dynamo-llm@0.7.0 |
v1.82 |
|
dynamo-llm@0.6.1 |
v1.82 |
|
dynamo-llm@0.6.0 |
v1.82 |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-protocols@1.0.1 |
v1.82 |
|
dynamo-protocols@1.0.0 |
v1.82 |
|
dynamo-protocols@0.9.1 |
v1.82 |
|
dynamo-protocols@0.9.0 |
v1.82 |
|
dynamo-protocols@0.8.1 |
v1.82 |
|
dynamo-protocols@0.8.0 |
v1.82 |
|
dynamo-protocols@0.7.1 |
v1.82 |
|
dynamo-protocols@0.7.0 |
v1.82 |
|
dynamo-protocols@0.6.1 |
v1.82 |
|
dynamo-protocols@0.6.0 |
v1.82 |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-parsers@1.0.1 |
v1.82 |
|
dynamo-parsers@1.0.0 |
v1.82 |
|
dynamo-parsers@0.9.1 |
v1.82 |
|
dynamo-parsers@0.9.0 |
v1.82 |
|
dynamo-parsers@0.8.1 |
v1.82 |
|
dynamo-parsers@0.8.0 |
v1.82 |
|
dynamo-parsers@0.7.1 |
v1.82 |
|
dynamo-parsers@0.7.0 |
v1.82 |
|
dynamo-parsers@0.6.1 |
v1.82 |
|
dynamo-parsers@0.6.0 |
v1.82 |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-memory@1.0.1 |
v1.82 |
|
dynamo-memory@1.0.0 |
v1.82 |
|
dynamo-memory@0.9.1 |
v1.82 |
|
dynamo-memory@0.9.0 |
v1.82 |
|
dynamo-memory@0.8.1 |
v1.82 |
|
dynamo-memory@0.8.0 |
v1.82 |
Initial |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-config@1.0.1 |
v1.82 |
|
dynamo-config@1.0.0 |
v1.82 |
|
dynamo-config@0.9.1 |
v1.82 |
|
dynamo-config@0.9.0 |
v1.82 |
|
dynamo-config@0.8.1 |
v1.82 |
|
dynamo-config@0.8.0 |
v1.82 |
Initial |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-tokens@1.0.1 |
v1.82 |
|
dynamo-tokens@1.0.0 |
v1.82 |
|
dynamo-tokens@0.9.1 |
v1.82 |
|
dynamo-tokens@0.9.0 |
v1.82 |
Initial |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-mocker@1.0.1 |
v1.82 |
|
dynamo-mocker@1.0.0 |
v1.82 |
Initial |
| Crate | MSRV (Rust) | Notes |
|---|---|---|
dynamo-kv-router@1.0.1 |
v1.82 |
|
dynamo-kv-router@1.0.0 |
v1.82 |
Initial |
Warning
Pre-Release artifacts do not go through QA validation. Pre-release versions are experimental previews intended for early testing and feedback. They may contain bugs, breaking changes, or incomplete features. Use stable releases for production workloads.
- Branch: release/1.1.0-dev.1
- GitHub Tag: v1.1.0-dev.1
- Backends: SGLang
v0.5.9| TensorRT-LLMv1.3.0rc5.post1| vLLMv0.17.1| NIXLv0.10.1
| Image:Tag | Backend | CUDA | Arch |
|---|---|---|---|
vllm-runtime:1.1.0-dev.1 |
vLLM v0.17.1 |
v12.9 |
AMD64/ARM64 |
vllm-runtime:1.1.0-dev.1-cuda13 |
vLLM v0.17.1 |
v13.0 |
AMD64/ARM64* |
vllm-runtime:1.1.0-dev.1-efa-amd64 |
vLLM v0.17.1 |
v12.9 |
AMD64 |
sglang-runtime:1.1.0-dev.1 |
SGLang v0.5.9 |
v12.9 |
AMD64/ARM64 |
sglang-runtime:1.1.0-dev.1-cuda13 |
SGLang v0.5.9 |
v13.0 |
AMD64/ARM64* |
tensorrtllm-runtime:1.1.0-dev.1 |
TRT-LLM v1.3.0rc5.post1 |
v13.1 |
AMD64/ARM64 |
tensorrtllm-runtime:1.1.0-dev.1-efa-amd64 |
TRT-LLM v1.3.0rc5.post1 |
v13.1 |
AMD64 |
dynamo-frontend:1.1.0-dev.1 |
— | — | AMD64/ARM64 |
kubernetes-operator:1.1.0-dev.1 |
— | — | AMD64/ARM64 |
snapshot-agent:1.1.0-dev.1 |
— | — | AMD64/ARM64 |
Available from pypi.nvidia.com (pre-release index):
uv pip install --pre --extra-index-url https://pypi.nvidia.com/ ai-dynamo==1.1.0.dev1
uv pip install --pre --extra-index-url https://pypi.nvidia.com/ ai-dynamo-runtime==1.1.0.dev1
uv pip install --pre --extra-index-url https://pypi.nvidia.com/ kvbm==1.1.0.dev1| Chart | NGC |
|---|---|
dynamo-platform-1.1.0-dev.1 |
link |
snapshot-1.1.0-dev.1 |
link |
Not shipped for pre-release versions.