diff --git a/Dockerfile.sdk b/Dockerfile.sdk
index 59bdaea509..8041286307 100644
--- a/Dockerfile.sdk
+++ b/Dockerfile.sdk
@@ -1,4 +1,4 @@
-# Copyright 2019-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2019-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -29,7 +29,7 @@
 #
 
 # Base image on the minimum Triton container
-ARG BASE_IMAGE=nvcr.io/nvidia/tritonserver:25.12-py3-min
+ARG BASE_IMAGE=nvcr.io/nvidia/tritonserver:26.01-py3-min
 
 ARG TRITON_CLIENT_REPO_SUBDIR=clientrepo
 ARG TRITON_REPO_ORGANIZATION=http://github.com/triton-inference-server
diff --git a/README.md b/README.md
index 522927495c..03b498e561 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright 2018-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2018-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -29,8 +29,8 @@
 
 >[!WARNING]
 >You are currently on the `main` branch which tracks under-development progress
->towards the next release. The current release is version [2.64.0](https://github.com/triton-inference-server/server/releases/latest)
->and corresponds to the 25.12 container release on NVIDIA GPU Cloud (NGC).
+>towards the next release. The current release is version [2.65.0](https://github.com/triton-inference-server/server/releases/latest)
+>and corresponds to the 26.01 container release on NVIDIA GPU Cloud (NGC).
 
 # Triton Inference Server
 
@@ -90,16 +90,16 @@ Inference Server with the
 
 ```bash
 # Step 1: Create the example model repository
-git clone -b r25.12 https://github.com/triton-inference-server/server.git
+git clone -b r26.01 https://github.com/triton-inference-server/server.git
 cd server/docs/examples
 ./fetch_models.sh
 
 # Step 2: Launch triton from the NGC Triton container
-docker run --gpus=1 --rm --net=host -v ${PWD}/model_repository:/models nvcr.io/nvidia/tritonserver:25.12-py3 tritonserver --model-repository=/models --model-control-mode explicit --load-model densenet_onnx
+docker run --gpus=1 --rm --net=host -v ${PWD}/model_repository:/models nvcr.io/nvidia/tritonserver:26.01-py3 tritonserver --model-repository=/models --model-control-mode explicit --load-model densenet_onnx
 
 # Step 3: Sending an Inference Request
 # In a separate console, launch the image_client example from the NGC Triton SDK container
-docker run -it --rm --net=host nvcr.io/nvidia/tritonserver:25.12-py3-sdk /workspace/install/bin/image_client -m densenet_onnx -c 3 -s INCEPTION /workspace/images/mug.jpg
+docker run -it --rm --net=host nvcr.io/nvidia/tritonserver:26.01-py3-sdk /workspace/install/bin/image_client -m densenet_onnx -c 3 -s INCEPTION /workspace/images/mug.jpg
 
 # Inference should return the following
 Image '/workspace/images/mug.jpg':
diff --git a/build.py b/build.py
index 71791f5745..fba1d02b86 100755
--- a/build.py
+++ b/build.py
@@ -73,12 +73,12 @@
 DEFAULT_TRITON_VERSION_MAP = {
     "release_version": "2.66.0dev",
     "triton_container_version": "26.02dev",
-    "upstream_container_version": "25.12",
+    "upstream_container_version": "26.01",
     "ort_version": "1.23.2",
     "ort_openvino_version": "2025.4.1",
     "standalone_openvino_version": "2025.4.1",
     "dcgm_version": "4.4.2-1",
-    "vllm_version": "0.11.1",
+    "vllm_version": "0.13.0",
     "rhel_py_version": "3.12.3",
 }
 
@@ -2093,11 +2093,6 @@ def backend_build(
     cmake_script.mkdir(build_dir)
     cmake_script.cwd(build_dir)
     if be == "tensorrtllm":
-        github_organization = (
-            "https://github.com/NVIDIA"
-            if "triton-inference-server" in FLAGS.github_organization
-            else FLAGS.github_organization
-        )
         repository_name = "TensorRT-LLM"
         cmake_script.gitclone(repository_name, tag, be, github_organization)
     else:
diff --git a/deploy/aws/values.yaml b/deploy/aws/values.yaml
index 6ccd3f5612..45cda89942 100644
--- a/deploy/aws/values.yaml
+++ b/deploy/aws/values.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2019-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,7 +27,7 @@
 replicaCount: 1
 
 image:
-  imageName: nvcr.io/nvidia/tritonserver:25.12-py3
+  imageName: nvcr.io/nvidia/tritonserver:26.01-py3
   pullPolicy: IfNotPresent
   modelRepositoryPath: s3://triton-inference-server-repository/model_repository
   numGpus: 1
diff --git a/deploy/fleetcommand/Chart.yaml b/deploy/fleetcommand/Chart.yaml
index b923491e4d..8760515775 100644
--- a/deploy/fleetcommand/Chart.yaml
+++ b/deploy/fleetcommand/Chart.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2019-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -26,7 +26,7 @@
 
 apiVersion: v1
 # appVersion is the Triton version; update when changing release
-appVersion: 2.64.0
+appVersion: 2.65.0
 description: Triton Inference Server (Fleet Command)
 name: triton-inference-server
 # version is the Chart version; update when changing anything in the chart
diff --git a/deploy/fleetcommand/values.yaml b/deploy/fleetcommand/values.yaml
index 6cbbb50553..bc6fb0b759 100644
--- a/deploy/fleetcommand/values.yaml
+++ b/deploy/fleetcommand/values.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2019-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,7 +27,7 @@
 replicaCount: 1
 
 image:
-  imageName: nvcr.io/nvidia/tritonserver:25.12-py3
+  imageName: nvcr.io/nvidia/tritonserver:26.01-py3
   pullPolicy: IfNotPresent
   numGpus: 1
   serverCommand: tritonserver
@@ -47,13 +47,13 @@ image:
     #
     # To set model control mode, uncomment and configure below
     # TODO: Fix the following url, it is invalid
-    # See https://github.com/triton-inference-server/server/blob/r25.12/docs/user_guide/model_management.md
+    # See https://github.com/triton-inference-server/server/blob/r26.01/docs/user_guide/model_management.md
     #  for more details
     #- --model-control-mode=explicit|poll|none
     #
     # Additional server args
     #
-    # see https://github.com/triton-inference-server/server/blob/r25.12/README.md
+    # see https://github.com/triton-inference-server/server/blob/r26.01/README.md
     #  for more details
 
 service:
diff --git a/deploy/gcp/values.yaml b/deploy/gcp/values.yaml
index 97ceba2606..4612dd4ae6 100644
--- a/deploy/gcp/values.yaml
+++ b/deploy/gcp/values.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2019-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,7 +27,7 @@
 replicaCount: 1
 
 image:
-  imageName: nvcr.io/nvidia/tritonserver:25.12-py3
+  imageName: nvcr.io/nvidia/tritonserver:26.01-py3
   pullPolicy: IfNotPresent
   modelRepositoryPath: gs://triton-inference-server-repository/model_repository
   numGpus: 1
diff --git a/deploy/gke-marketplace-app/benchmark/perf-analyzer-script/triton_client.yaml b/deploy/gke-marketplace-app/benchmark/perf-analyzer-script/triton_client.yaml
index 181005d382..3d5abafa3b 100644
--- a/deploy/gke-marketplace-app/benchmark/perf-analyzer-script/triton_client.yaml
+++ b/deploy/gke-marketplace-app/benchmark/perf-analyzer-script/triton_client.yaml
@@ -1,4 +1,4 @@
-# Copyright 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -33,7 +33,7 @@ metadata:
   namespace: default
 spec:
   containers:
-  - image: nvcr.io/nvidia/tritonserver:25.12-py3-sdk
+  - image: nvcr.io/nvidia/tritonserver:26.01-py3-sdk
     imagePullPolicy: Always
     name: nv-triton-client
     securityContext:
diff --git a/deploy/gke-marketplace-app/server-deployer/build_and_push.sh b/deploy/gke-marketplace-app/server-deployer/build_and_push.sh
index 22c57b09db..0121d266fb 100755
--- a/deploy/gke-marketplace-app/server-deployer/build_and_push.sh
+++ b/deploy/gke-marketplace-app/server-deployer/build_and_push.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-# Copyright 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,9 +27,9 @@
 
 export REGISTRY=gcr.io/$(gcloud config get-value project | tr ':' '/')
 export APP_NAME=tritonserver
-export MAJOR_VERSION=2.64
-export MINOR_VERSION=2.64.0
-export NGC_VERSION=25.12-py3
+export MAJOR_VERSION=2.65
+export MINOR_VERSION=2.65.0
+export NGC_VERSION=26.01-py3
 
 docker pull nvcr.io/nvidia/$APP_NAME:$NGC_VERSION
 
diff --git a/deploy/gke-marketplace-app/server-deployer/chart/triton/Chart.yaml b/deploy/gke-marketplace-app/server-deployer/chart/triton/Chart.yaml
index 0bec3222a7..ddbc69c63c 100644
--- a/deploy/gke-marketplace-app/server-deployer/chart/triton/Chart.yaml
+++ b/deploy/gke-marketplace-app/server-deployer/chart/triton/Chart.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -25,7 +25,7 @@
 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
 apiVersion: v1
-appVersion: "2.64"
+appVersion: "2.65"
 description: Triton Inference Server
 name: triton-inference-server
-version: 2.64.0
+version: 2.65.0
diff --git a/deploy/gke-marketplace-app/server-deployer/chart/triton/values.yaml b/deploy/gke-marketplace-app/server-deployer/chart/triton/values.yaml
index d0d0b87493..15387d650d 100644
--- a/deploy/gke-marketplace-app/server-deployer/chart/triton/values.yaml
+++ b/deploy/gke-marketplace-app/server-deployer/chart/triton/values.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -31,14 +31,14 @@ maxReplicaCount: 3
 tritonProtocol: HTTP
 # HPA GPU utilization autoscaling target
 HPATargetAverageValue: 85
-modelRepositoryPath: gs://triton_sample_models/25.12
-publishedVersion: '2.64.0'
+modelRepositoryPath: gs://triton_sample_models/26.01
+publishedVersion: '2.65.0'
 gcpMarketplace: true
 
 image:
   registry: gcr.io
   repository: nvidia-ngc-public/tritonserver
-  tag: 25.12-py3
+  tag: 26.01-py3
   pullPolicy: IfNotPresent
   # modify the model repository here to match your GCP storage bucket
   numGpus: 1
diff --git a/deploy/gke-marketplace-app/server-deployer/data-test/schema.yaml b/deploy/gke-marketplace-app/server-deployer/data-test/schema.yaml
index add506981a..c63bcbc2d5 100644
--- a/deploy/gke-marketplace-app/server-deployer/data-test/schema.yaml
+++ b/deploy/gke-marketplace-app/server-deployer/data-test/schema.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,7 +27,7 @@
 x-google-marketplace:
   schemaVersion: v2
   applicationApiVersion: v1beta1
-  publishedVersion: '2.64.0'
+  publishedVersion: '2.65.0'
   publishedVersionMetadata:
     releaseNote: >-
       Initial release.
diff --git a/deploy/gke-marketplace-app/server-deployer/schema.yaml b/deploy/gke-marketplace-app/server-deployer/schema.yaml
index dc1f75ae7c..f9c31d268a 100644
--- a/deploy/gke-marketplace-app/server-deployer/schema.yaml
+++ b/deploy/gke-marketplace-app/server-deployer/schema.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,7 +27,7 @@
 x-google-marketplace:
   schemaVersion: v2
   applicationApiVersion: v1beta1
-  publishedVersion: '2.64.0'
+  publishedVersion: '2.65.0'
   publishedVersionMetadata:
     releaseNote: >-
       Initial release.
@@ -89,7 +89,7 @@ properties:
   modelRepositoryPath:
     type: string
     title: Bucket where models are stored. Please make sure the user/service account to create the GKE app has permission to this GCS bucket. Read Triton documentation on configs and formatting details, supporting TensorRT, TensorFlow, Pytorch, Onnx ... etc.
-    default: gs://triton_sample_models/25.12
+    default: gs://triton_sample_models/26.01
   image.ldPreloadPath:
     type: string
     title: Leave this empty by default. Triton allows users to create custom layers for backend such as TensorRT plugin, the compiled shared library must be provided via LD_PRELOAD environment variable.
diff --git a/deploy/gke-marketplace-app/trt-engine/README.md b/deploy/gke-marketplace-app/trt-engine/README.md
index 20cdb977d9..6f33ac0a1c 100644
--- a/deploy/gke-marketplace-app/trt-engine/README.md
+++ b/deploy/gke-marketplace-app/trt-engine/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -33,7 +33,7 @@
 ```
 docker run --gpus all -it --network host \
     --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 \
-    -v ~:/scripts nvcr.io/nvidia/tensorrt:25.12-py3
+    -v ~:/scripts nvcr.io/nvidia/tensorrt:26.01-py3
 
 pip install onnx six torch tf2onnx tensorflow
 
@@ -57,7 +57,7 @@ mkdir -p engines
 
 python3 builder.py -m models/fine-tuned/bert_tf_ckpt_large_qa_squad2_amp_128_v19.03.1/model.ckpt -o engines/bert_large_int8_bs1_s128.engine -b 1 -s 128 -c models/fine-tuned/bert_tf_ckpt_large_qa_squad2_amp_128_v19.03.1/ -v models/fine-tuned/bert_tf_ckpt_large_qa_squad2_amp_128_v19.03.1/vocab.txt --int8 --fp16 --strict --calib-num 1 -iln -imh
 
-gsutil cp bert_large_int8_bs1_s128.engine gs://triton_sample_models/25.12/bert/1/model.plan
+gsutil cp bert_large_int8_bs1_s128.engine gs://triton_sample_models/26.01/bert/1/model.plan
 ```
 
-For each Triton upgrade, container version used to generate the model, and the model path in GCS `gs://triton_sample_models/25.12/` should be updated accordingly with the correct version.
+For each Triton upgrade, container version used to generate the model, and the model path in GCS `gs://triton_sample_models/26.01/` should be updated accordingly with the correct version.
diff --git a/deploy/k8s-onprem/values.yaml b/deploy/k8s-onprem/values.yaml
index e7f6fd14d5..347dc5ac42 100644
--- a/deploy/k8s-onprem/values.yaml
+++ b/deploy/k8s-onprem/values.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2019-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -30,7 +30,7 @@ tags:
   openshift: false
 
 image:
-  imageName: nvcr.io/nvidia/tritonserver:25.12-py3
+  imageName: nvcr.io/nvidia/tritonserver:26.01-py3
   pullPolicy: IfNotPresent
   modelRepositoryServer: < Replace with the IP Address of your file server >
   modelRepositoryPath: /srv/models
diff --git a/deploy/oci/values.yaml b/deploy/oci/values.yaml
index 971ae37787..904c7a2d30 100644
--- a/deploy/oci/values.yaml
+++ b/deploy/oci/values.yaml
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2019-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,7 +27,7 @@
 replicaCount: 1
 
 image:
-  imageName: nvcr.io/nvidia/tritonserver:25.12-py3
+  imageName: nvcr.io/nvidia/tritonserver:26.01-py3
   pullPolicy: IfNotPresent
   modelRepositoryPath: s3://https://<OCI_NAMESPACE>.compat.objectstorage.<OCI_REGION>.oraclecloud.com:443/triton-inference-server-repository
   numGpus: 1
diff --git a/docs/client_guide/python_readme.rst b/docs/client_guide/python_readme.rst
index 51951fad51..cbcf5c9b25 100644
--- a/docs/client_guide/python_readme.rst
+++ b/docs/client_guide/python_readme.rst
@@ -1,5 +1,5 @@
 ..
-.. Copyright 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+.. Copyright 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 ..
 .. Redistribution and use in source and binary forms, with or without
 .. modification, are permitted provided that the following conditions
@@ -72,13 +72,17 @@ Clone Repository
 ^^^^^^^^^^^^^^^^
 
 .. code:: bash
+
    git clone https://github.com/triton-inference-server/tutorials.git
    cd tutorials/Triton_Inference_Server_Python_API
+
 Build ``triton-python-api:r24.01`` Image
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. code:: bash
+
    ./build.sh
+
 Supported Backends
 ^^^^^^^^^^^^^^^^^^
 
@@ -110,19 +114,25 @@ The following command starts a container and volume mounts the current
 directory as ``workspace``.
 
 .. code:: bash
+
    ./run.sh
+
 Enter Python Shell
 ~~~~~~~~~~~~~~~~~~
 
 .. code:: bash
+
    python3
+
 Create and Start a Server Instance
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: python
+
    import tritonserver
    server = tritonserver.Server(model_repository="/workspace/identity-models")
    server.start()
+
 List Models
 ~~~~~~~~~~~
 
@@ -137,13 +147,17 @@ Example Output
 their current state.
 
 .. code:: python
+
    {('identity', 1): {'name': 'identity', 'version': 1, 'state': 'READY'}}
+
 Send an Inference Request
 ~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: python
+
    model = server.model("identity")
    responses = model.infer(inputs={"string_input":[["hello world!"]]})
+
 Iterate through Responses
 ~~~~~~~~~~~~~~~~~~~~~~~~~
 
@@ -151,15 +165,19 @@ Iterate through Responses
 results of an inference request.
 
 .. code:: python
+
    for response in responses:
        print(response.outputs["string_output"].to_string_array())
+
 .. _example-output-1:
 
 Example Output
 ^^^^^^^^^^^^^^
 
 .. code:: python
+
    [['hello world!']]
+
 Stable Diffusion
 ----------------
 
@@ -174,7 +192,9 @@ Please note the following command will take many minutes depending on
 your hardware configuration and network connection.
 
 .. code:: bash
-      ./build.sh --framework diffusion --build-models
+
+   ./build.sh --framework diffusion --build-models
+
 .. _supported-backends-1:
 
 Supported Backends
@@ -205,25 +225,31 @@ The following command starts a container and volume mounts the current
 directory as ``workspace``.
 
 .. code:: bash
+
    ./run.sh --framework diffusion
+
 .. _enter-python-shell-1:
 
 Enter Python Shell
 ~~~~~~~~~~~~~~~~~~
 
 .. code:: bash
+
    python3
+
 .. _create-and-start-a-server-instance-1:
 
 Create and Start a Server Instance
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: python
+
    import tritonserver
    import numpy
    from PIL import Image
    server = tritonserver.Server(model_repository="/workspace/diffusion-models")
    server.start()
+
 .. _list-models-1:
 
 List Models
@@ -239,24 +265,30 @@ Example Output
 ^^^^^^^^^^^^^^
 
 .. code:: python
+
    {('stable_diffusion', 1): {'name': 'stable_diffusion', 'version': 1, 'state': 'READY'}, ('text_encoder', 1): {'name': 'text_encoder', 'version': 1, 'state': 'READY'}, ('vae', 1): {'name': 'vae', 'version': 1, 'state': 'READY'}}
+
 .. _send-an-inference-request-1:
 
 Send an Inference Request
 ~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: python
+
    model = server.model("stable_diffusion")
    responses = model.infer(inputs={"prompt":[["butterfly in new york, realistic, 4k, photograph"]]})
+
 Iterate through Responses and save image
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: python
+
    for response in responses:
        generated_image = numpy.from_dlpack(response.outputs["generated_image"])
        generated_image = generated_image.squeeze().astype(numpy.uint8)
        image_ = Image.fromarray(generated_image)
        image_.save("sample_generated_image.jpg")
+
 .. _example-output-3:
 
 Example Output
diff --git a/docs/introduction/compatibility.md b/docs/introduction/compatibility.md
index 6496f37813..faa0039c80 100644
--- a/docs/introduction/compatibility.md
+++ b/docs/introduction/compatibility.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2024-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2024-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -38,6 +38,7 @@
 
 | Triton release version	 | NGC Tag	 | Python version	 | Torch version | TensorRT version | TensorRT-LLM version | CUDA version | CUDA Driver version | Size |
 | --- | ---  | --- | --- | --- | --- | --- | --- | --- |
+| 26.01 | nvcr.io/nvidia/tritonserver:26.01-trtllm-python-py3 | Python 3.12.3  | 2.9.0a0+145a3a7bda.nv25.10 | 10.13.3.9 | 1.1.0 | 13.0.2.006 | 580.95.05 | 16.17 GB |
 | 25.12 | nvcr.io/nvidia/tritonserver:25.12-trtllm-python-py3 | Python 3.12.3  | 2.9.0a0+145a3a7bda.nv25.10 | 10.13.3.9 | 1.1.0 | 13.0.2.006 | 580.95.05 | 16.04 GB |
 | 25.11 | nvcr.io/nvidia/tritonserver:25.11-trtllm-python-py3 | Python 3.12.3  | 2.9.0a0+145a3a7bda.nv25.10 | 10.13.3.9 | 1.0.3.2510 | 13.0.2.006 | 580.95.05 | 12.25 GB |
 | 25.10 | nvcr.io/nvidia/tritonserver:25.10-trtllm-python-py3 | Python 3.12.3  | 2.8.0a0+5228986c39.nv25.6 | 10.11.0.33 | 1.0.0 | 12.9.1.010 | 575.57.08 | 16.21 GB |
@@ -64,6 +65,7 @@
 
 | Triton release version	 | NGC Tag	 | Python version	 | vLLM version | CUDA version | CUDA Driver version | Size |
 | --- | --- | --- | --- | --- | --- | --- |
+| 26.01 | nvcr.io/nvidia/tritonserver:26.01-vllm-python-py3 | Python 3.12.3  | 0.13.0+faa43dbf.nv26.1.cu131 | 13.1.1.006 | 590.48.01 | 8.79G |
 | 25.12 | nvcr.io/nvidia/tritonserver:25.12-vllm-python-py3 | Python 3.12.3  | 0.11.1+9114fd76.nv25.12.cu131 | 13.1.0.036 | 590.44.01 | 8.54G |
 | 25.11 | nvcr.io/nvidia/tritonserver:25.11-vllm-python-py3 | Python 3.12.3  | 0.11.0+582e4e37.nv25.11.cu130 | 13.0.2.006 | 580.95.05 | 8.72G |
 | 25.10 | nvcr.io/nvidia/tritonserver:25.10-vllm-python-py3 | Python 3.12.3  | 0.10.2+9dd9ca32.nv25.10.cu130 | 13.0.2.006 | 580.95.05 | 8.34G |
@@ -90,6 +92,7 @@
 
 | Triton release version	 | ONNX Runtime	 |
 | --- | --- |
+| 26.01 | 1.23.2 |
 | 25.12 | 1.23.2 |
 | 25.11 | 1.23.2 |
 | 25.10 | 1.23.1 |
diff --git a/docs/introduction/release_notes.md b/docs/introduction/release_notes.md
index 6c21f2942f..6aa87882eb 100644
--- a/docs/introduction/release_notes.md
+++ b/docs/introduction/release_notes.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2024-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2024-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -25,9 +25,9 @@
 # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 -->
-# [Triton Inference Server Release 25.12](https://docs.nvidia.com/deeplearning/triton-inference-server/release-notes/rel-25-12.html#rel-25-12)
+# [Triton Inference Server Release 26.01](https://docs.nvidia.com/deeplearning/triton-inference-server/release-notes/rel-26-01.html#rel-26-01)
 
-The Triton Inference Server container image, release 25.12, is available
+The Triton Inference Server container image, release 26.01, is available
 on [NGC](https://ngc.nvidia.com/catalog/containers/nvidia:tritonserver) and
 is open source
 on [GitHub](https://github.com/triton-inference-server/server). Release notes can
diff --git a/python/openai/README.md b/python/openai/README.md
index ac0ec5e53b..ed770b4e05 100644
--- a/python/openai/README.md
+++ b/python/openai/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright (c) 2024-2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2024-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -46,7 +46,7 @@
 docker run -it --net=host --gpus all --rm \
   -v ${HOME}/.cache/huggingface:/root/.cache/huggingface \
   -e HF_TOKEN \
-  nvcr.io/nvidia/tritonserver:25.12-vllm-python-py3
+  nvcr.io/nvidia/tritonserver:26.01-vllm-python-py3
 ```
 
 2. Launch the OpenAI-compatible Triton Inference Server:
@@ -355,7 +355,7 @@ Currently, OpenAI-Compatible Frontend supports loading embedding models and embe
 docker run -it --net=host --gpus all --rm \
   -v ${HOME}/.cache/huggingface:/root/.cache/huggingface \
   -e HF_TOKEN \
-  nvcr.io/nvidia/tritonserver:25.12-vllm-python-py3
+  nvcr.io/nvidia/tritonserver:26.01-vllm-python-py3
 ```
 
 2. Launch the OpenAI-compatible Triton Inference Server:
@@ -451,7 +451,7 @@ docker run -it --net=host --gpus all --rm \
   -v ${HOME}/.cache/huggingface:/root/.cache/huggingface \
   -e HF_TOKEN \
   -e TRTLLM_ORCHESTRATOR=1 \
-  nvcr.io/nvidia/tritonserver:25.12-trtllm-python-py3
+  nvcr.io/nvidia/tritonserver:26.01-trtllm-python-py3
 ```
 
 2. Install dependencies inside the container:
diff --git a/python/openai/openai_frontend/engine/triton_engine.py b/python/openai/openai_frontend/engine/triton_engine.py
index 0d735be5c0..d194fc2e1f 100644
--- a/python/openai/openai_frontend/engine/triton_engine.py
+++ b/python/openai/openai_frontend/engine/triton_engine.py
@@ -1,4 +1,4 @@
-# Copyright 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -991,6 +991,11 @@ def _validate_completion_request(
         if not isinstance(request.prompt, str):
             raise ClientError("only single string input is supported")
 
+        if "best_of" in request.model_fields_set and metadata.backend == "vllm":
+            raise ClientError(
+                "best_of is no longer supported in vLLM backend, removed from vLLM V1 engine"
+            )
+
         if request.n and request.n > 1:
             raise ClientError(
                 f"Received n={request.n}, but only single choice (n=1) is currently supported"
diff --git a/python/openai/openai_frontend/engine/utils/triton.py b/python/openai/openai_frontend/engine/utils/triton.py
index 344ad374c9..8dd7663f3a 100644
--- a/python/openai/openai_frontend/engine/utils/triton.py
+++ b/python/openai/openai_frontend/engine/utils/triton.py
@@ -1,4 +1,4 @@
-# Copyright 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -100,6 +100,8 @@ def _create_vllm_generate_request(
         "max_tokens",
         "logprobs",
         "top_logprobs",
+        # not supported for vLLM backend (removed from vLLM V1) but supported for TRT-LLM/Python backend
+        "best_of",
     }
 
     # NOTE: The exclude_none is important, as internals may not support
diff --git a/python/openai/requirements.txt b/python/openai/requirements.txt
index cf63446574..4b4f631f9b 100644
--- a/python/openai/requirements.txt
+++ b/python/openai/requirements.txt
@@ -1,4 +1,4 @@
-# Copyright 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -31,6 +31,9 @@ fastapi==0.121.2
 httpx==0.27.2
 openai==1.107.3
 partial-json-parser # used for parsing partial JSON outputs
+
+# FIXME [TRI-641]: The latest stable version of scipy is 1.17.0 which caused segfault during tests. See TRI-620.
+scipy==1.16.3
 # Minimum starlette version needed to address CVE(s):
 # https://github.com/advisories/GHSA-f96h-pmfr-66vw
 # https://github.com/advisories/GHSA-7f5h-v6xp-fcq8
diff --git a/python/openai/tests/conftest.py b/python/openai/tests/conftest.py
index cff670f3ec..a1195000ed 100644
--- a/python/openai/tests/conftest.py
+++ b/python/openai/tests/conftest.py
@@ -1,4 +1,4 @@
-# Copyright 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -37,6 +37,7 @@ def pytest_configure(config):
     config.addinivalue_line(
         "markers", "openai: mark test to run with OpenAI server (subprocess)"
     )
+    config.addinivalue_line("markers", "asyncio: mark test as an asyncio test")
 
 
 ### TEST ENVIRONMENT SETUP ###
diff --git a/python/openai/tests/test_completions.py b/python/openai/tests/test_completions.py
index 4dcad4c2d2..9d496476e1 100644
--- a/python/openai/tests/test_completions.py
+++ b/python/openai/tests/test_completions.py
@@ -1,4 +1,4 @@
-# Copyright 2024-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2024-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -57,7 +57,6 @@ def test_completions_defaults(self, client, model: str, prompt: str):
             ("top_p", 0.9),
             ("frequency_penalty", 0.5),
             ("presence_penalty", 0.2),
-            ("best_of", 1),
             ("n", 1),
             # logprobs is an integer for completions
             ("logprobs", 5),
@@ -359,7 +358,12 @@ def test_no_prompt(self, client, model: str):
         ],
     )
     def test_completions_multiple_choices(
-        self, client, sampling_parameter_dict: dict, model: str, prompt: str
+        self,
+        client,
+        sampling_parameter_dict: dict,
+        backend: str,
+        model: str,
+        prompt: str,
     ):
         response = client.post(
             "/v1/completions",
@@ -370,7 +374,11 @@ def test_completions_multiple_choices(
         # FIXME: Add support and test for success
         # Expected to fail when n or best_of > 1, only single choice supported for now
         assert response.status_code == 400
-        assert "only single choice" in response.json()["detail"]
+        if backend == "vllm" and "best_of" in sampling_parameter_dict:
+            error_message = "best_of is no longer supported in vLLM backend"
+        else:
+            error_message = "only single choice"
+        assert error_message in response.json()["detail"]
 
     @pytest.mark.skip(reason="Not Implemented Yet")
     def test_lora(self):
diff --git a/qa/common/gen_jetson_trt_models b/qa/common/gen_jetson_trt_models
index edcb3748cf..af4f648e1c 100755
--- a/qa/common/gen_jetson_trt_models
+++ b/qa/common/gen_jetson_trt_models
@@ -34,7 +34,7 @@
 # Make all generated files accessible outside of container
 umask 0000
 # Set the version of the models
-TRITON_VERSION=${TRITON_VERSION:=25.12}
+TRITON_VERSION=${TRITON_VERSION:=26.01}
 # Set the CUDA device to use
 CUDA_DEVICE=${RUNNER_ID:=0}
 # Set TensorRT image
diff --git a/qa/common/gen_qa_model_repository b/qa/common/gen_qa_model_repository
index 501fc2508a..73be3e4c7d 100755
--- a/qa/common/gen_qa_model_repository
+++ b/qa/common/gen_qa_model_repository
@@ -60,7 +60,7 @@ log_message.status "Changing working directory to the script directory to: " "${
 cd ${TRITON_MDLS_BASE_SCRIPT_DIR}
 
 log_message.status "define: default values"
-TRITON_VERSION=${TRITON_VERSION:=25.12}
+TRITON_VERSION=${TRITON_VERSION:=26.01}
 ONNX_VERSION=1.16.1
 ONNX_OPSET=0
 OPENVINO_VERSION=2024.5.0