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tsavina authored Jun 13, 2024
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@@ -77,14 +77,6 @@ Feature Support and API Coverage
| || as of OpenVINO 2023.3, 08 Jan, 2024. |
+-------------------------+-----------+------------------+-------------------+


Devices similar to the ones used for benchmarking can be accessed using
`Intel® DevCloud for the Edge <https://devcloud.intel.com/edge/>`__,
a remote development environment with access to Intel® hardware and the latest versions
of the Intel® Distribution of OpenVINO™ Toolkit.
`Learn more <https://devcloud.intel.com/edge/../../get-started/devcloud/>`__ or
`Register here <https://inteliot.force.com/DevcloudForEdge/s/>`__.

For setting up a relevant configuration, refer to the
:doc:`Integrate with Customer Application <../../openvino-workflow/running-inference/integrate-openvino-with-your-application>`
topic (step 3 "Configure input and output").
9 changes: 0 additions & 9 deletions docs/articles_en/about-openvino/performance-benchmarks.rst
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@@ -199,15 +199,6 @@ connection is dedicated only to measuring performance.
You can also test performance for your system yourself, following the guide on
:doc:`getting performance numbers <performance-benchmarks/getting-performance-numbers>`.

Performance of a particular application can also be evaluated virtually using
`Intel® DevCloud for the Edge <https://devcloud.intel.com/edge/>`__.
It is a remote development environment with access to Intel® hardware and the latest versions
of the Intel® Distribution of the OpenVINO™ Toolkit. To learn more about it, visit
`the website <https://www.intel.com/content/www/us/en/developer/tools/devcloud/edge/overview.html>`__
or
`create an account <https://www.intel.com/content/www/us/en/secure/forms/devcloud-enrollment/account-provisioning.html>`__.


.. raw:: html

<h2>Disclaimers</h2>
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@@ -117,8 +117,7 @@ Performance Information F.A.Q.
Intel partners with vendors all over the world. For a list of Hardware Manufacturers, see the
`Intel® AI: In Production Partners & Solutions Catalog <https://www.intel.com/content/www/us/en/internet-of-things/ai-in-production/partners-solutions-catalog.html>`__.
For more details, see the :doc:`Supported Devices <../compatibility-and-support/supported-devices>`.
documentation. Before purchasing any hardware, you can test and run
models remotely, using `Intel® DevCloud for the Edge <http://devcloud.intel.com/edge/>`__.
documentation.

.. dropdown:: How can I optimize my models for better performance or accuracy?

8 changes: 0 additions & 8 deletions docs/articles_en/documentation/legacy-features.rst
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@@ -107,14 +107,6 @@ Discontinued:
:language: cpp
:fragment: [export_compiled_model]

.. dropdown:: DL Workbench

| *New solution:* DevCloud version
| *Old solution:* local distribution discontinued in OpenVINO 2022.3
| The stand-alone version of DL Workbench, a GUI tool for previewing and benchmarking
deep learning models, has been discontinued. You can use its cloud version:
| `Intel® Developer Cloud for the Edge <https://www.intel.com/content/www/us/en/developer/tools/devcloud/edge/overview.html>`__.
.. dropdown:: TensorFlow integration (OVTF)

| *New solution:* Direct model support and OpenVINO Converter (OVC)
2 changes: 0 additions & 2 deletions docs/articles_en/get-started.rst
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@@ -59,8 +59,6 @@ See the :doc:`installation overview page <get-started/install-openvino>` for opt

OpenVINO provides a wide array of examples and documentation showing how to work with models, run inference, and deploy applications. Step through the sections below to learn the basics of OpenVINO and explore its advanced optimization features. For further details, visit :doc:`OpenVINO documentation <documentation>`.

OpenVINO users of all experience levels can try `Intel® DevCloud <https://www.intel.com/content/www/us/en/developer/tools/devcloud/edge/overview.html>`__ , a free web-based service for developing, testing, and running OpenVINO applications on an online cluster of the latest Intel® hardware.

.. _openvino-basics:

OpenVINO Basics
28 changes: 14 additions & 14 deletions docs/articles_en/get-started/install-openvino.rst
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@@ -23,34 +23,34 @@ Install OpenVINO™ 2024.2
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<iframe id="selector" src="../_static/selector-tool/selector-1c16038.html" style="width: 100%; border: none" title="Download Intel® Distribution of OpenVINO™ Toolkit"></iframe>

.. dropdown:: Supported OpenVINO Versions
OpenVINO 2024.2, described here, is not a Long-Term-Support version!
All currently supported versions are:

OpenVINO 2024.2, described here, is not a Long-Term-Support version!
All currently supported versions are:
* 2024.2 (development)
* 2023.3 (LTS)
* 2022.3 (LTS)

* 2024.2 (development)
* 2023.3 (LTS)
* 2022.3 (LTS)
.. dropdown:: Distributions and Device Support

Moreover, different OpenVINO distributions may support slightly different sets of features.
Different OpenVINO distributions may support slightly different sets of features.
Read installation guides for particular distributions for more details.
Refer to the :doc:`OpenVINO Release Policy <../../../about-openvino/release-notes-openvino/release-policy>`
to learn more about the release types.

.. dropdown:: Distribution Comparison for OpenVINO 2024.2

=============== ========== ====== =============== ======== ============ ========== ========== ==========
Device Archives PyPI APT/YUM/ZYPPER Conda Homebrew vcpkg Conan npm
Device Archives PyPI APT/YUM/ZYPPER Conda Homebrew vcpkg Conan npm
=============== ========== ====== =============== ======== ============ ========== ========== ==========
CPU V V V V V V V V
GPU V V V V V V V V
NPU V\* V\* V\ * n/a n/a n/a n/a V\*
CPU V V V V V V V V
GPU V V V V V V V V
NPU V\* V\* V\ * n/a n/a n/a n/a V\*
=============== ========== ====== =============== ======== ============ ========== ========== ==========

| \* **Of the Linux systems, versions 22.04 and 24.04 include drivers for NPU.**
| \* **Of the Linux systems, version 22.04 includes drivers for NPU.**
| **For Windows, CPU inference on ARM64 is not supported.**
.. dropdown:: Effortless GenAI integration with OpenVINO GenAI Flavor
.. dropdown:: Effortless GenAI integration with OpenVINO GenAI Flavor**

A new OpenVINO GenAI Flavor streamlines application development by providing
LLM-specific interfaces for easy integration of language models, handling tokenization and
@@ -67,7 +67,7 @@ Install OpenVINO™ 2024.2
The OpenVINO Development Tools is still available for older versions of OpenVINO,
as well as the current one, from the GitHub repository and PyPI. :doc:`Learn more <../documentation/legacy-features/install-dev-tools>`.

.. dropdown:: Building OpenVINO from source
.. dropdown:: Building OpenVINO from Source

OpenVINO Toolkit source files are available on GitHub as open source. If you want to build your own version of OpenVINO for your platform,
follow the `OpenVINO Build Instructions <https://github.com/openvinotoolkit/openvino/blob/master/docs/dev/build.md>`__.
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