Mchornyi/tprd 1606/update release docs (#8364)

Author: mc-nv

README.md

@@ -27,11 +27,6 @@
 -->
 [![License](https://img.shields.io/badge/License-BSD3-lightgrey.svg)](https://opensource.org/licenses/BSD-3-Clause)
 
->[!WARNING]
->You are currently on the `main` branch which tracks under-development progress
->towards the next release. The current release is version [2.59.1](https://github.com/triton-inference-server/server/releases/latest)
->and corresponds to the 25.07 container release on NVIDIA GPU Cloud (NGC).
-
 # Triton Inference Server
 
 Triton Inference Server is an open source inference serving software that
@@ -61,7 +56,7 @@ Major features include:
 - Provides [Backend API](https://github.com/triton-inference-server/backend) that
   allows adding custom backends and pre/post processing operations
 - Supports writing custom backends in python, a.k.a.
-  [Python-based backends.](https://github.com/triton-inference-server/backend/blob/main/docs/python_based_backends.md#python-based-backends)
+  [Python-based backends.](https://github.com/triton-inference-server/backend/blob/r25.08/docs/python_based_backends.md#python-based-backends)
 - Model pipelines using
   [Ensembling](docs/user_guide/architecture.md#ensemble-models) or [Business
   Logic Scripting
@@ -172,10 +167,10 @@ configuration](docs/user_guide/model_configuration.md) for the model.
   [Python](https://github.com/triton-inference-server/python_backend), and more
 - Not all the above backends are supported on every platform supported by Triton.
   Look at the
-  [Backend-Platform Support Matrix](https://github.com/triton-inference-server/backend/blob/main/docs/backend_platform_support_matrix.md)
+  [Backend-Platform Support Matrix](https://github.com/triton-inference-server/backend/blob/r25.08/docs/backend_platform_support_matrix.md)
   to learn which backends are supported on your target platform.
 - Learn how to [optimize performance](docs/user_guide/optimization.md) using the
-  [Performance Analyzer](https://github.com/triton-inference-server/perf_analyzer/blob/main/README.md)
+  [Performance Analyzer](https://github.com/triton-inference-server/perf_analyzer/blob/r25.08/README.md)
   and
   [Model Analyzer](https://github.com/triton-inference-server/model_analyzer)
 - Learn how to [manage loading and unloading models](docs/user_guide/model_management.md) in
@@ -189,14 +184,14 @@ A Triton *client* application sends inference and other requests to Triton. The
 [Python and C++ client libraries](https://github.com/triton-inference-server/client)
 provide APIs to simplify this communication.
 
-- Review client examples for [C++](https://github.com/triton-inference-server/client/blob/main/src/c%2B%2B/examples),
-  [Python](https://github.com/triton-inference-server/client/blob/main/src/python/examples),
-  and [Java](https://github.com/triton-inference-server/client/blob/main/src/java/src/main/java/triton/client/examples)
+- Review client examples for [C++](https://github.com/triton-inference-server/client/blob/r25.08/src/c%2B%2B/examples),
+  [Python](https://github.com/triton-inference-server/client/blob/r25.08/src/python/examples),
+  and [Java](https://github.com/triton-inference-server/client/blob/r25.08/src/java/src/main/java/triton/client/examples)
 - Configure [HTTP](https://github.com/triton-inference-server/client#http-options)
   and [gRPC](https://github.com/triton-inference-server/client#grpc-options)
   client options
 - Send input data (e.g. a jpeg image) directly to Triton in the [body of an HTTP
-  request without any additional metadata](https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md#raw-binary-request)
+  request without any additional metadata](https://github.com/triton-inference-server/server/blob/r25.08/docs/protocol/extension_binary_data.md#raw-binary-request)
 
 ### Extend Triton
 
@@ -205,7 +200,7 @@ designed for modularity and flexibility
 
 - [Customize Triton Inference Server container](docs/customization_guide/compose.md) for your use case
 - [Create custom backends](https://github.com/triton-inference-server/backend)
-  in either [C/C++](https://github.com/triton-inference-server/backend/blob/main/README.md#triton-backend-api)
+  in either [C/C++](https://github.com/triton-inference-server/backend/blob/r25.08/README.md#triton-backend-api)
   or [Python](https://github.com/triton-inference-server/python_backend)
 - Create [decoupled backends and models](docs/user_guide/decoupled_models.md) that can send
   multiple responses for a request or not send any responses for a request
@@ -214,7 +209,7 @@ designed for modularity and flexibility
   decryption, or conversion
 - Deploy Triton on [Jetson and JetPack](docs/user_guide/jetson.md)
 - [Use Triton on AWS
-   Inferentia](https://github.com/triton-inference-server/python_backend/tree/main/inferentia)
+   Inferentia](https://github.com/triton-inference-server/python_backend/tree/r25.08/inferentia)
 
 ### Additional Documentation
 

docs/introduction/compatibility.md

@@ -38,6 +38,7 @@
 
 | Triton release version	 | NGC Tag	 | Python version	 | Torch version | TensorRT version | TensorRT-LLM version | CUDA version | CUDA Driver version | Size |
 | --- | ---  | --- | --- | --- | --- | --- | --- | --- |
+| 25.08 | nvcr.io/nvidia/tritonserver:25.08-trtllm-python-py3 | Python 3.12.3  | 2.8.0a0+5228986c39.nv25.5 | 10.11.0.33 | 0.21.0 | 12.9.0.043 | 575.51.03 | 20.49 GB |
 | 25.07 | nvcr.io/nvidia/tritonserver:25.07-trtllm-python-py3 | Python 3.12.3  | 2.7.0a0+79aa17489c.nv25.4 | 10.10.0.31 | 0.20.0 | 12.9.0.036 | 575.51.03 | 18.3G |
 | 25.06 | nvcr.io/nvidia/tritonserver:25.06-trtllm-python-py3 | Python 3.12.3  | 2.7.0a0+79aa17489c.nv25.4 | 10.10.0.31 | 0.20.0 | 12.9.0.036 | 575.51.03 | 18.3G |
 | 25.05 | nvcr.io/nvidia/tritonserver:25.05-trtllm-python-py3 | Python 3.12.3  | 2.7.0a0+7c8ec84dab.nv25.3 | 10.9.0.34 | 0.19.0 | 12.8.1.012 | 570.124.06 | 17G |
@@ -59,7 +60,10 @@
 
 | Triton release version	 | NGC Tag	 | Python version	 | vLLM version | CUDA version | CUDA Driver version | Size |
 | --- | --- | --- | --- | --- | --- | --- |
-| 25.05 | nvcr.io/nvidia/tritonserver:25.04-vllm-python-py3 | Python 3.12.3  | 0.8.4+c4369543.nv25.5.cu129 | 12.9.0.043 | 575.51.03 | 10G |
+| 25.08 | nvcr.io/nvidia/tritonserver:25.08-vllm-python-py3 | Python 3.12.3  | 0.9.2+4ef1e343.nv25.8.post1.cu130 | 12.9.0.043 | 575.51.03 | 8.1G |
+| 25.07 | nvcr.io/nvidia/tritonserver:25.07-vllm-python-py3 | Python 3.12.3  | 0.9.0rc1+1958ee56.nv25.6.cu129 | 12.9.0.043 | 575.51.03 | 10G |
+| 25.06 | nvcr.io/nvidia/tritonserver:25.06-vllm-python-py3 | Python 3.12.3  | 0.9.0rc1+1958ee56.nv25.6.cu129 | 12.9.0.043 | 575.51.03 | 10G |
+| 25.05 | nvcr.io/nvidia/tritonserver:25.05-vllm-python-py3 | Python 3.12.3  | 0.8.4+dc1a3e10.nv25.5.cu129 | 12.9.0.043 | 575.51.03 | 10G |
 | 25.04 | nvcr.io/nvidia/tritonserver:25.04-vllm-python-py3 | Python 3.12.3  | 0.8.1+5f4af9e0.nv25.4.cu129 | 12.9.0.036 | 575.51.02 | 10G |
 | 25.03 | nvcr.io/nvidia/tritonserver:25.03-vllm-python-py3 | Python 3.12.3  | 0.7.3+04de634a.nv25.3.cu128 | 12.8.1.012 | 570.124.06 | 22G |
 | 25.02 | nvcr.io/nvidia/tritonserver:25.02-vllm-python-py3 | Python 3.12.3  | 0.7.0+5e800e3d.nv25.2.cu128 | 12.8.0.038 | 570.86.10 | 22G |
@@ -78,6 +82,9 @@
 
 | Triton release version	 | ONNX Runtime	 |
 | --- | --- |
+| 25.08 | 1.23.0+1d1712fdaf |
+| 25.07 | 1.22.0 |
+| 25.06 | 1.22.0 |
 | 25.05 | 1.22.0 |
 | 25.04 | 1.21.0 |
 | 25.03 | 1.21.0 |