remove deprecated reference to nvidia plugin (#3267)

Author: dtrawins

docs/build_from_source.md

@@ -82,23 +82,6 @@ Use this parameter together with `OV_USE_BINARY=1`.
 
 <hr />
 
-### `NVIDIA`
-
-By default set to `0`. When set to `1`, there will be additional docker image prepared: `openvino/model_server:latest-cuda` which contains environment required to run inference on NVIDIA GPUs. Please note that such image is significantly larger than the base one.
-
-Hint: optionally use `OV_SOURCE_BRANCH` parameter to specify which branch from [OpenVINO repository](https://github.com/openvinotoolkit/openvino) should be used
-and `OV_CONTRIB_BRANCH` to choose the branch from [OpenVINO contrib](https://github.com/openvinotoolkit/openvino_contrib) repository for NVIDIA plugin.
-
-Example:
-```bash
-make release_image NVIDIA=1 OV_USE_BINARY=0
-```
-
- > **Note**: In order to build the image with redhat UBI8.8 as the base os, it is required to use a host with RedHat subscription and entitlements in `/etc/pki/entitlement` and `/etc/rhsm`.
-That is required to install several building dependencies.
-
-<hr />
-
 ### `OV_USE_BINARY`
 
 By default set to `0`. With that setting, OpenVINO backend will be built from sources and `DLDT_PACKAGE_URL` will be omitted.

docs/performance_tuning.md

@@ -193,7 +193,7 @@ Recommended steps to investigate achievable performance and discover bottlenecks
 
 ## Analyzing accuracy issues
 
-Please note that the target devices GPU and NVIDIA usually change the default model execution precision from FP32 to FP16.
+Please note that the target devices GPU and CPU with AMX feature usually change the default model execution precision from FP32 to BF16.
 It is recommended to compare accuracy results versus OpenVINO benchmark app.
 
 It is possible to enforce a specific runtime precision by using a plugin config parameter `INFERENCE_PRECISION_HINT`. For example: