chore: merge in support matrix and nixl commit hash (#944)

Signed-off-by: Harrison Saturley-Hall <454891+saturley-hall@users.noreply.github.com>
Co-authored-by: Anant Sharma <anants@nvidia.com>

container/build.sh

@@ -67,7 +67,7 @@ VLLM_BASE_IMAGE_TAG="25.03-cuda12.8-devel-ubuntu24.04"
 NONE_BASE_IMAGE="ubuntu"
 NONE_BASE_IMAGE_TAG="24.04"
 
-NIXL_COMMIT=3810b36b1ad0b647488e163f0f4e8dfc22ffabdf
+NIXL_COMMIT=d247e88c72db75dc00e4e37aa21ed8d99e60c27d
 NIXL_REPO=ai-dynamo/nixl.git
 
 get_options() {

support_matrix.md

@@ -38,23 +38,23 @@ If you are using a **GPU**, the following GPU models and architectures are suppo
 
 ## Software Compatibility
 ### Runtime Dependency
-| **Python Package** | **Version**   | glibc version        |
-|--------------------|---------------|----------------------|
-| ai-dynamo          |    0.1.1      |     >=2.28           |
-| ai-dynamo-runtime  |    0.1.1      |     >=2.28           |
-| ai-dynamo-vllm     |  0.7.2.post1* | >=2.28 (recommended) |
-| NIXL               |    0.1.1      |     >=2.27           |
+| **Python Package** | **Version**   | glibc version        | CUDA Version |
+|--------------------|---------------|----------------------|--------------|
+| ai-dynamo          |    0.2.0      |     >=2.28           |              |
+| ai-dynamo-runtime  |    0.2.0      |     >=2.28           |              |
+| ai-dynamo-vllm     |  0.8.4* | >=2.28 (recommended) |                    |
+| NIXL               |    0.2.0      |     >=2.27           | >=11.8      |
 
 ### Build Dependency
 | **Build Dependency** | **Version** |
 |----------------------|-------------|
-| **Base Container**   |    [25.01](https://hub.docker.com/layers/nvidia/cuda/12.8.1-runtime-ubuntu24.04/images/sha256-828c4d878adcaa4265d80c95d8ec877149b49bb2419a4cf3bb6aa889bbb7ca2e)    |
-| **ai-dynamo-vllm**   |0.7.2.post1* |
+| **Base Container**   |    [25.03](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda-dl-base/tags)    |
+| **ai-dynamo-vllm**   |0.8.4* |
 | **TensorRT-LLM**     |    0.19.0** |
-| **NIXL**             |    0.1.1    |
+| **NIXL**             |    0.2.0    |
 
 > **Note**:
-> - *ai-dynamo-vllm v0.7.2.post1* is a customized patch of v0.7.2 from vLLM.
+> - *ai-dynamo-vllm v0.8.4 is a customized patch of v0.8.4 from vLLM.
 > - **The specific version of TensorRT-LLM (planned v0.19.0) that will be supported by Dynamo is subject to change.
 
 
@@ -62,6 +62,6 @@ If you are using a **GPU**, the following GPU models and architectures are suppo
 **Dynamo** currently provides build support in the following ways:
 
 - **Wheels**: Pre-built Python wheels are only available for **x86_64 Linux**. No wheels are available for other platforms at this time.
-- **Container Images**: We distribute only the source code for container images, and only **x86_64 Linux** is supported for these. Users must build the container image from source if they require it.
+- **Container Images**: We distribute only the source code for container images, **x86_64 Linux** and **ARM64** are supported for these. Users must build the container image from source if they require it.
 
 Once you've confirmed that your platform and architecture are compatible, you can install **Dynamo** by following the instructions in the [Quick Start Guide](https://github.com/ai-dynamo/dynamo/blob/main/README.md#installation).