Docs merging conformance articles 24.3 (#26222)

Author: kblaszczak-intel

docs/articles_en/about-openvino/compatibility-and-support.rst

@@ -7,18 +7,17 @@ Compatibility and Support
    :hidden:
 
    compatibility-and-support/supported-devices
+   compatibility-and-support/supported-operations
    compatibility-and-support/supported-models
-   compatibility-and-support/supported-operations-inference-devices
-   compatibility-and-support/supported-operations-framework-frontend
 
 
-:doc:`Supported Devices <compatibility-and-support/supported-devices>` - compatibility information for supported hardware accelerators.
-
-:doc:`Supported Models <compatibility-and-support/supported-models>` - a list of selected models confirmed to work with given hardware.
-
-:doc:`Supported Operations <compatibility-and-support/supported-operations-inference-devices>` - a listing of framework layers supported by OpenVINO.
-
-:doc:`Supported Operations <compatibility-and-support/supported-operations-framework-frontend>` - a listing of layers supported by OpenVINO inference devices.
+| :doc:`Supported Devices <compatibility-and-support/supported-devices>`:
+|     compatibility information for supported hardware accelerators.
 
+| :doc:`Supported Operations <compatibility-and-support/supported-operations>`:
+|     a listing of operations supported by OpenVINO, based on device and frontend conformance.
 
+| :doc:`AI Models verified for OpenVINO™ <compatibility-and-support/supported-models>`:
+|     a list of selected models confirmed to work with Intel® Core Ultra™ Processors with the
+      OpenVINO™ toolkit.
 

docs/articles_en/about-openvino/compatibility-and-support/supported-devices.rst

@@ -1,12 +1,12 @@
-Supported Inference Devices
-============================
+Supported Devices
+===============================================================================================
 
 .. meta::
    :description: Check the list of devices used by OpenVINO to run inference
                  of deep learning models.
 
 
-The OpenVINO™ runtime enables you to use a selection of devices to run your
+The OpenVINO™ runtime enables you to use the following devices to run your
 deep learning models:
 :doc:`CPU <../../openvino-workflow/running-inference/inference-devices-and-modes/cpu-device>`,
 :doc:`GPU <../../openvino-workflow/running-inference/inference-devices-and-modes/gpu-device>`,
@@ -18,16 +18,20 @@ deep learning models:
 Beside running inference with a specific device,
 OpenVINO offers the option of running automated inference with the following inference modes:
 
-* :doc:`Automatic Device Selection <../../openvino-workflow/running-inference/inference-devices-and-modes/auto-device-selection>` - automatically selects the best device
-  available for the given task. It offers many additional options and optimizations, including inference on
-  multiple devices at the same time.
-* :doc:`Heterogeneous Inference <../../openvino-workflow/running-inference/inference-devices-and-modes/hetero-execution>` - enables splitting inference among several devices
-  automatically, for example, if one device doesn't support certain operations.
-* :doc:`(LEGACY) Multi-device Inference <./../../documentation/legacy-features/multi-device>` - executes inference on multiple devices.
-  Currently, this mode is considered a legacy solution. Using Automatic Device Selection is advised.
-* :doc:`Automatic Batching <../../openvino-workflow/running-inference/inference-devices-and-modes/automatic-batching>` - automatically groups inference requests to improve
-  device utilization.
+| :doc:`Automatic Device Selection <../../openvino-workflow/running-inference/inference-devices-and-modes/auto-device-selection>`:
+|     automatically selects the best device available for the given task. It offers many
+      additional options and optimizations, including inference on multiple devices at the
+      same time.
+| :doc:`Heterogeneous Inference <../../openvino-workflow/running-inference/inference-devices-and-modes/hetero-execution>`:
+|     enables splitting inference among several devices automatically, for example, if one device
+      doesn't support certain operations.
 
+| :doc:`Automatic Batching <../../openvino-workflow/running-inference/inference-devices-and-modes/automatic-batching>`:
+|     automatically groups inference requests to improve device utilization.
+
+| :doc:`(LEGACY) Multi-device Inference <./../../documentation/legacy-features/multi-device>`:
+|     executes inference on multiple devices. Currently, this mode is considered a legacy
+      solution. Using Automatic Device Selection instead is advised.
 
 
 Feature Support and API Coverage
@@ -36,16 +40,17 @@ Feature Support and API Coverage
 ======================================================================================================================================== ======= ========== ===========
  Supported Feature                                                                                                                        CPU     GPU        NPU
 ======================================================================================================================================== ======= ========== ===========
+ :doc:`Automatic Device Selection <../../openvino-workflow/running-inference/inference-devices-and-modes/auto-device-selection>`          Yes     Yes        Partial
  :doc:`Heterogeneous execution <../../openvino-workflow/running-inference/inference-devices-and-modes/hetero-execution>`                  Yes     Yes        No
- :doc:`(LEGACY) Multi-device execution <./../../documentation/legacy-features/multi-device>`                                              Yes     Yes        Partial
  :doc:`Automatic batching <../../openvino-workflow/running-inference/inference-devices-and-modes/automatic-batching>`                     No      Yes        No
  :doc:`Multi-stream execution <../../openvino-workflow/running-inference/optimize-inference/optimizing-throughput>`                       Yes     Yes        No
- :doc:`Models caching <../../openvino-workflow/running-inference/optimize-inference/optimizing-latency/model-caching-overview>`           Yes     Partial    Yes
+ :doc:`Model caching <../../openvino-workflow/running-inference/optimize-inference/optimizing-latency/model-caching-overview>`            Yes     Partial    Yes
  :doc:`Dynamic shapes <../../openvino-workflow/running-inference/dynamic-shapes>`                                                         Yes     Partial    No
  :doc:`Import/Export <../../documentation/openvino-ecosystem>`                                                                            Yes     Yes        Yes
  :doc:`Preprocessing acceleration <../../openvino-workflow/running-inference/optimize-inference/optimize-preprocessing>`                  Yes     Yes        No
  :doc:`Stateful models <../../openvino-workflow/running-inference/stateful-models>`                                                       Yes     Yes        Yes
  :doc:`Extensibility <../../documentation/openvino-extensibility>`                                                                        Yes     Yes        No
+ :doc:`(LEGACY) Multi-device execution <./../../documentation/legacy-features/multi-device>`                                              Yes     Yes        Partial
 ======================================================================================================================================== ======= ========== ===========
 
 
@@ -80,10 +85,10 @@ topic (step 3 "Configure input and output").
 
 .. note::
 
-   With OpenVINO 2024.0 release, support for GNA has been discontinued. To keep using it
+   With the OpenVINO 2024.0 release, support for GNA has been discontinued. To keep using it
    in your solutions, revert to the 2023.3 (LTS) version.
 
-   With OpenVINO™ 2023.0 release, support has been cancelled for:
+   With the OpenVINO™ 2023.0 release, support has been cancelled for:
    - Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X
    - Intel® Vision Accelerator Design with Intel® Movidius™