## Install from Source

[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for
[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
$ pip install tensorflow
```

1. By running as a node-level daemonset that:

- listens for these UDS events from the CNI plugin (which fire when new pods are spawned in an ambient-enabled namespace), and adds those pods to the ambient mesh.
- watches k8s resource for existing pods, so that pods that have already been started can be moved in or out of the ambient mesh.

cycle     (duration)  time duration between scanner cycles
```

Example: the following setting will decrease the scanner speed by a factor of 3, reducing the system resource use, but increasing the latency of updates being reflected.

```sh
~ mc admin config set alias/ scanner delay=30.0
```

Once set the scanner settings are automatically applied without the need for server restarts.

#### Basic default manifest

The following command generates a manifest with the compiled-in `default` profile and charts:

```bash
istioctl manifest generate
```

You can see these sources for the compiled-in profiles and charts in the repo under `manifests/`. These profiles and charts are also included in the Istio release tar.

#### Output to dirs

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