[release branch] [DOC] Links, typos and public package (#2506)

Fix links /nightly/ -> /2024/
Fix some of the links from /main/ to /releases/2024/2
Fix typos CVS-144337
Public OpenVINO link

Makefile

@@ -154,11 +154,11 @@ ifeq ($(findstring ubuntu,$(BASE_OS)),ubuntu)
   ifeq ($(BASE_OS_TAG),20.04)
         OS=ubuntu20
 	INSTALL_DRIVER_VERSION ?= "22.43.24595"
-	DLDT_PACKAGE_URL ?= http://s3.toolbox.iotg.sclab.intel.com/ov-packages/l_openvino_toolkit_ubuntu20_2024.2.0.15519.5c0f38f83f6_x86_64.tgz
+	DLDT_PACKAGE_URL ?= https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.2/linux/l_openvino_toolkit_ubuntu20_2024.2.0.15519.5c0f38f83f6_x86_64.tgz
   else ifeq  ($(BASE_OS_TAG),22.04)
         OS=ubuntu22
 	INSTALL_DRIVER_VERSION ?= "23.22.26516"
-	DLDT_PACKAGE_URL ?= http://s3.toolbox.iotg.sclab.intel.com/ov-packages/l_openvino_toolkit_ubuntu22_2024.2.0.15519.5c0f38f83f6_x86_64.tgz
+	DLDT_PACKAGE_URL ?= https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.2/linux/l_openvino_toolkit_ubuntu22_2024.2.0.15519.5c0f38f83f6_x86_64.tgz
   endif
 endif
 ifeq ($(BASE_OS),redhat)
@@ -173,7 +173,7 @@ ifeq ($(BASE_OS),redhat)
   endif	
   DIST_OS=redhat
   INSTALL_DRIVER_VERSION ?= "23.22.26516"
-  DLDT_PACKAGE_URL ?= http://s3.toolbox.iotg.sclab.intel.com/ov-packages/l_openvino_toolkit_rhel8_2024.2.0.15519.5c0f38f83f6_x86_64.tgz
+  DLDT_PACKAGE_URL ?= https://storage.openvinotoolkit.org/repositories/openvino/packages/2024.2/linux/l_openvino_toolkit_rhel8_2024.2.0.15519.5c0f38f83f6_x86_64.tgz
 endif
 
 OVMS_CPP_DOCKER_IMAGE ?= openvino/model_server

README.md

@@ -15,22 +15,22 @@ OpenVINO™ Model Server (OVMS) is a high-performance system for serving mod
 
 ![OVMS picture](docs/ovms_high_level.png)
 
-The models used by the server need to be stored locally or hosted remotely by object storage services. For more details, refer to [Preparing Model Repository](https://docs.openvino.ai/nightly/ovms_docs_models_repository.html) documentation. Model server works inside [Docker containers](https://docs.openvino.ai/nightly/ovms_docs_deploying_server.html#deploying-model-server-in-docker-container), on [Bare Metal](https://docs.openvino.ai/nightly/ovms_docs_deploying_server.html#deploying-model-server-on-baremetal-without-container), and in [Kubernetes environment](https://docs.openvino.ai/nightly/ovms_docs_deploying_server.html#deploying-model-server-in-kubernetes).
-Start using OpenVINO Model Server with a fast-forward serving example from the [Quickstart guide](https://docs.openvino.ai/nightly/ovms_docs_quick_start_guide.html) or explore [Model Server features](https://docs.openvino.ai/nightly/ovms_docs_features.html).
+The models used by the server need to be stored locally or hosted remotely by object storage services. For more details, refer to [Preparing Model Repository](https://docs.openvino.ai/2024/ovms_docs_models_repository.html) documentation. Model server works inside [Docker containers](https://docs.openvino.ai/2024/ovms_docs_deploying_server.html#deploying-model-server-in-docker-container), on [Bare Metal](https://docs.openvino.ai/2024/ovms_docs_deploying_server.html#deploying-model-server-on-baremetal-without-container), and in [Kubernetes environment](https://docs.openvino.ai/2024/ovms_docs_deploying_server.html#deploying-model-server-in-kubernetes).
+Start using OpenVINO Model Server with a fast-forward serving example from the [Quickstart guide](https://docs.openvino.ai/2024/ovms_docs_quick_start_guide.html) or explore [Model Server features](https://docs.openvino.ai/2024/ovms_docs_features.html).
 
 Read [release notes](https://github.com/openvinotoolkit/model_server/releases) to find out what’s new.
 
 ### Key features:
-- **[NEW]** [Efficient Text Generation via OpenAI API - preview](https://docs.openvino.ai/nightly/ovms_docs_llm_reference.html)
-- [Python code execution](https://docs.openvino.ai/nightly/ovms_docs_python_support_reference.html)
-- [gRPC streaming](https://docs.openvino.ai/nightly/ovms_docs_streaming_endpoints.html)
-- [MediaPipe graphs serving](https://docs.openvino.ai/nightly/ovms_docs_mediapipe.html) 
-- Model management - including [model versioning](https://docs.openvino.ai/nightly/ovms_docs_model_version_policy.html) and [model updates in runtime](https://docs.openvino.ai/nightly/ovms_docs_online_config_changes.html)
-- [Dynamic model inputs](https://docs.openvino.ai/nightly/ovms_docs_shape_batch_layout.html)
-- [Directed Acyclic Graph Scheduler](https://docs.openvino.ai/nightly/ovms_docs_dag.html) along with [custom nodes in DAG pipelines](https://docs.openvino.ai/nightly/ovms_docs_custom_node_development.html)
-- [Metrics](https://docs.openvino.ai/nightly/ovms_docs_metrics.html) - metrics compatible with Prometheus standard
+- **[NEW]** [Efficient Text Generation via OpenAI API - preview](https://docs.openvino.ai/2024/ovms_docs_llm_reference.html)
+- [Python code execution](https://docs.openvino.ai/2024/ovms_docs_python_support_reference.html)
+- [gRPC streaming](https://docs.openvino.ai/2024/ovms_docs_streaming_endpoints.html)
+- [MediaPipe graphs serving](https://docs.openvino.ai/2024/ovms_docs_mediapipe.html) 
+- Model management - including [model versioning](https://docs.openvino.ai/2024/ovms_docs_model_version_policy.html) and [model updates in runtime](https://docs.openvino.ai/2024/ovms_docs_online_config_changes.html)
+- [Dynamic model inputs](https://docs.openvino.ai/2024/ovms_docs_shape_batch_layout.html)
+- [Directed Acyclic Graph Scheduler](https://docs.openvino.ai/2024/ovms_docs_dag.html) along with [custom nodes in DAG pipelines](https://docs.openvino.ai/2024/ovms_docs_custom_node_development.html)
+- [Metrics](https://docs.openvino.ai/2024/ovms_docs_metrics.html) - metrics compatible with Prometheus standard
 - Support for multiple frameworks, such as TensorFlow, PaddlePaddle and ONNX
-- Support for [AI accelerators](https://docs.openvino.ai/nightly/about-openvino/compatibility-and-support/supported-devices.html)
+- Support for [AI accelerators](https://docs.openvino.ai/2024/about-openvino/compatibility-and-support/supported-devices.html)
 
 **Note:** OVMS has been tested on RedHat, and Ubuntu. The latest publicly released docker images are based on Ubuntu and UBI.
 They are stored in:
@@ -40,26 +40,26 @@ They are stored in:
 
 ## Run OpenVINO Model Server
 
-A demonstration on how to use OpenVINO Model Server can be found in [our quick-start guide](https://docs.openvino.ai/nightly/ovms_docs_quick_start_guide.html). 
+A demonstration on how to use OpenVINO Model Server can be found in [our quick-start guide](https://docs.openvino.ai/2024/ovms_docs_quick_start_guide.html). 
 For more information on using Model Server in various scenarios you can check the following guides:
 
-* [Model repository configuration](https://docs.openvino.ai/nightly/ovms_docs_models_repository.html)
+* [Model repository configuration](https://docs.openvino.ai/2024/ovms_docs_models_repository.html)
 
-* [Deployment options](https://docs.openvino.ai/nightly/ovms_docs_deploying_server.html)
+* [Deployment options](https://docs.openvino.ai/2024/ovms_docs_deploying_server.html)
 
-* [Performance tuning](https://docs.openvino.ai/nightly/ovms_docs_performance_tuning.html)
+* [Performance tuning](https://docs.openvino.ai/2024/ovms_docs_performance_tuning.html)
 
-* [Directed Acyclic Graph Scheduler](https://docs.openvino.ai/nightly/ovms_docs_dag.html)
+* [Directed Acyclic Graph Scheduler](https://docs.openvino.ai/2024/ovms_docs_dag.html)
 
-* [Custom nodes development](https://docs.openvino.ai/nightly/ovms_docs_custom_node_development.html)
+* [Custom nodes development](https://docs.openvino.ai/2024/ovms_docs_custom_node_development.html)
 
-* [Serving stateful models](https://docs.openvino.ai/nightly/ovms_docs_stateful_models.html)
+* [Serving stateful models](https://docs.openvino.ai/2024/ovms_docs_stateful_models.html)
 
 * [Deploy using a Kubernetes Helm Chart](https://github.com/openvinotoolkit/operator/tree/main/helm-charts/ovms)
 
 * [Deployment using Kubernetes Operator](https://operatorhub.io/operator/ovms-operator)
 
-* [Using binary input data](https://docs.openvino.ai/nightly/ovms_docs_binary_input.html)
+* [Using binary input data](https://docs.openvino.ai/2024/ovms_docs_binary_input.html)
 
 
 
@@ -73,7 +73,7 @@ For more information on using Model Server in various scenarios you can check th
 
 * [RESTful API](https://restfulapi.net/)
 
-* [Benchmarking results](https://docs.openvino.ai/nightly/openvino_docs_performance_benchmarks.html)
+* [Benchmarking results](https://docs.openvino.ai/2024/openvino_docs_performance_benchmarks.html)
 
 * [Speed and Scale AI Inference Operations Across Multiple Architectures](https://techdecoded.intel.io/essentials/speed-and-scale-ai-inference-operations-across-multiple-architectures/?elq_cid=3646480_ts1607680426276&erpm_id=6470692_ts1607680426276) - webinar recording
 

client/go/kserve-api/Dockerfile

@@ -26,7 +26,7 @@ RUN go install google.golang.org/protobuf/cmd/[email protected]
 RUN go install google.golang.org/grpc/cmd/[email protected]
 
 # Compile API
-RUN wget https://raw.githubusercontent.com/openvinotoolkit/model_server/main/src/kfserving_api/grpc_predict_v2.proto
+RUN wget https://raw.githubusercontent.com/openvinotoolkit/model_server/releases/2024/2/src/kfserving_api/grpc_predict_v2.proto
 RUN echo 'option go_package = "./grpc-client";' >> grpc_predict_v2.proto
 RUN protoc --go_out="./" --go-grpc_out="./" ./grpc_predict_v2.proto
 

client/java/kserve-api/pom.xml

@@ -64,7 +64,7 @@
             </goals>
             <configuration>
               <url>
-                https://raw.githubusercontent.com/openvinotoolkit/model_server/main/src/kfserving_api/grpc_predict_v2.proto</url>
+                https://raw.githubusercontent.com/openvinotoolkit/model_server/releases/2024/2/src/kfserving_api/grpc_predict_v2.proto</url>
               <outputFileName>grpc_predict_v2.proto</outputFileName>
               <outputDirectory>src/main/proto</outputDirectory>
             </configuration>

client/python/ovmsclient/lib/README.md

@@ -6,7 +6,7 @@ OVMS client library contains only the necessary dependencies, so the whole packa
 
 As OpenVINO Model Server API is compatible with TensorFlow Serving, it's possible to use `ovmsclient` with TensorFlow Serving instances on: Predict, GetModelMetadata and GetModelStatus endpoints.
 
-See [API documentation](https://github.com/openvinotoolkit/model_server/blob/main/client/python/ovmsclient/lib/docs/README.md) for details on what the library provides.
+See [API documentation](https://github.com/openvinotoolkit/model_server/blob/releases/2024/2/client/python/ovmsclient/lib/docs/README.md) for details on what the library provides.
 
 ```bash
 git clone https://github.com/openvinotoolkit/model_server.git
@@ -136,4 +136,4 @@ results = client.predict(inputs=inputs, model_name="model")
 #
 ```
 
-For more details on `ovmsclient` see [API reference](https://github.com/openvinotoolkit/model_server/blob/main/client/python/ovmsclient/lib/docs/README.md)
+For more details on `ovmsclient` see [API reference](https://github.com/openvinotoolkit/model_server/blob/releases/2024/2/client/python/ovmsclient/lib/docs/README.md)

client/python/ovmsclient/lib/docs/pypi_overview.md

@@ -9,7 +9,7 @@ The `ovmsclient` package works both with OpenVINO™ Model Server and Tensor
 The `ovmsclient` can replace `tensorflow-serving-api` package with reduced footprint and simplified interface.
 
 
-See [API reference](https://github.com/openvinotoolkit/model_server/blob/main/client/python/ovmsclient/lib/docs/README.md) for usage details.
+See [API reference](https://github.com/openvinotoolkit/model_server/blob/releases/2024/2/client/python/ovmsclient/lib/docs/README.md) for usage details.
 
 
 ## Usage example
@@ -38,4 +38,4 @@ results = client.predict(inputs=inputs, model_name="model")
 
 ```
 
-Learn more on `ovmsclient` [documentation site](https://github.com/openvinotoolkit/model_server/tree/main/client/python/ovmsclient/lib).
+Learn more on `ovmsclient` [documentation site](https://github.com/openvinotoolkit/model_server/tree/releases/2024/2/client/python/ovmsclient/lib).

client/python/ovmsclient/lib/ovmsclient/custom/management_client.py

@@ -26,7 +26,7 @@ def reload_servables(self):
             ConfigStatusResponse object with all models and their versions statuses
 
         Raises:
-            Exceptions for different serving reponses...
+            Exceptions for different serving responses...
 
         Examples:
 
@@ -50,7 +50,7 @@ def get_servables(self):
             ConfigStatusResponse object with all models and their versions statuses
 
         Raises:
-            Exceptions for different serving reponses...
+            Exceptions for different serving responses...
 
         Examples: