docs: update support matrix, release artifacts, and README for v1.0.0 (#7350)

Signed-off-by: Dan Gil <dagil@nvidia.com>

README.md

@@ -97,13 +97,13 @@ Containers have all dependencies pre-installed. No setup required.
 
 ```bash
 # SGLang
-docker run --gpus all --network host --rm -it nvcr.io/nvidia/ai-dynamo/sglang-runtime:0.8.1
+docker run --gpus all --network host --rm -it nvcr.io/nvidia/ai-dynamo/sglang-runtime:1.0.0
 
 # TensorRT-LLM
-docker run --gpus all --network host --rm -it nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:0.8.1
+docker run --gpus all --network host --rm -it nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.0.0
 
 # vLLM
-docker run --gpus all --network host --rm -it nvcr.io/nvidia/ai-dynamo/vllm-runtime:0.8.1
+docker run --gpus all --network host --rm -it nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.0.0
 ```
 
 > **Tip:** To run frontend and worker in the same container, either run processes in background with `&` (see below), or open a second terminal and use `docker exec -it <container_id> bash`.

docs/reference/support-matrix.md

@@ -9,7 +9,7 @@ subtitle: Hardware, software, and build compatibility for Dynamo
 
 ## At a Glance
 
-**Latest stable release:** [v0.9.1](https://github.com/ai-dynamo/dynamo/releases/tag/v0.9.1) -- SGLang `0.5.8` | TensorRT-LLM `1.3.0rc3` | vLLM `0.14.1` | NIXL `0.9.0`
+**Latest stable release:** [v1.0.0](https://github.com/ai-dynamo/dynamo/releases/tag/v1.0.0) -- SGLang `0.5.9` | TensorRT-LLM `1.3.0rc5.post1` | vLLM `0.16.0` | NIXL `0.10.1`
 
 | Requirement | Supported |
 | :--- | :--- |
@@ -28,7 +28,7 @@ The following table shows the backend framework versions included with each Dyna
 | **Dynamo** | **SGLang** | **TensorRT-LLM** | **vLLM** | **NIXL** |
 | :--- | :--- | :--- | :--- | :--- |
 | **main (ToT)** | `0.5.9` | `1.3.0rc5.post1` | `0.16.0` | `0.10.1` |
-| **v1.0.0** *(in progress)* | `0.5.9` | `1.3.0rc5.post1` | `0.16.0` | `0.10.1` |
+| **v1.0.0** | `0.5.9` | `1.3.0rc5.post1` | `0.16.0` | `0.10.1` |
 | **v0.9.1** | `0.5.8` | `1.3.0rc3` | `0.14.1` | `0.9.0` |
 | **v0.9.0** | `0.5.8` | `1.3.0rc1` | `0.14.1` | `0.9.0` |
 | **v0.8.1.post3** | `0.5.6.post2` | `1.2.0rc6.post3` | `0.12.0` | `0.8.0` |
@@ -59,7 +59,7 @@ Dynamo container images include CUDA toolkit libraries. The host machine must ha
 
 | Dynamo Version | Backend | CUDA Toolkit | Min Driver | Notes |
 | :--- | :--- | :--- | :--- | :--- |
-| **1.0.0** *(in progress)* | **SGLang** | 12.9 | 575.xx+ | |
+| **1.0.0** | **SGLang** | 12.9 | 575.xx+ | |
 | | | 13.0 | 580.xx+ | |
 | | **TensorRT-LLM** | 13.1 | 580.xx+ | |
 | | **vLLM** | 12.9 | 575.xx+ | |
@@ -168,13 +168,18 @@ For version-specific artifact details, installation commands, and release histor
   - [SGLang Runtime](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/sglang-runtime)
   - [SGLang Runtime (CUDA 13)](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/sglang-runtime-cu13)
   - [TensorRT-LLM Runtime](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/tensorrtllm-runtime)
+  - [TensorRT-LLM Runtime (EFA)](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/tensorrtllm-runtime) *(New in v1.0.0, Experimental, AMD64 only)*
   - [vLLM Runtime](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/vllm-runtime)
   - [vLLM Runtime (CUDA 13)](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/vllm-runtime-cu13)
+  - [vLLM Runtime (EFA)](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/vllm-runtime) *(New in v1.0.0, Experimental, AMD64 only)*
   - [Kubernetes Operator](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/kubernetes-operator)
+  - [Snapshot Agent](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/containers/snapshot-agent) *(New in v1.0.0, Preview)*
 
 - **Helm Charts**: [NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo) hosts the helm charts supporting Kubernetes deployments of Dynamo:
-  - [Dynamo Platform](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-platform) (includes CRDs)
-  - [Dynamo Graph](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-graph)
+  - [Dynamo Platform](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-platform) (now includes CRDs)
+  - [Snapshot](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/snapshot) *(New in v1.0.0, Preview)*
+  - [Dynamo CRDs](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-crds) *(Deprecated in v1.0.0, CRDs managed by Operator)*
+  - [Dynamo Graph](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/helm-charts/dynamo-graph) *(Deprecated in v0.9.0)*
 
 - **Rust Crates**:
   - [dynamo-runtime](https://crates.io/crates/dynamo-runtime/)
@@ -183,5 +188,8 @@ For version-specific artifact details, installation commands, and release histor
   - [dynamo-parsers](https://crates.io/crates/dynamo-parsers/)
   - [dynamo-config](https://crates.io/crates/dynamo-config/) *(New in v0.8.0)*
   - [dynamo-memory](https://crates.io/crates/dynamo-memory/) *(New in v0.8.0)*
+  - [dynamo-tokens](https://crates.io/crates/dynamo-tokens/) *(New in v0.9.0)*
+  - [dynamo-mocker](https://crates.io/crates/dynamo-mocker/) *(New in v1.0.0)*
+  - [dynamo-kv-router](https://crates.io/crates/dynamo-kv-router/) *(New in v1.0.0)*
 
 Once you've confirmed that your platform and architecture are compatible, you can install **Dynamo** by following the [Local Quick Start](https://github.com/ai-dynamo/dynamo/blob/main/README.md#local-quick-start) in the README.