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remove gpu
Signed-off-by: Craig Osterhout <[email protected]>
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content/manuals/admin/organization/manage-products.md

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@@ -127,19 +127,6 @@ Management](/manuals/enterprise/security/hardened-desktop/settings-management/_i
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visible but locked. Use when Docker Offload is not approved for organizational use.
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- **User defined**: No enforced default. Users choose whether to enable or disable Docker Offload in their
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Docker Desktop settings.
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1. If GPU support is enabled for your organization's subscription, configure the
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**Enable Docker Offload GPU Support** setting to control whether GPU support
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is available in Docker Desktop. You can configure this setting in five
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states:
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- **Always enabled**: GPU support is always enabled and users cannot disable it.
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- **Enabled**: GPU support is enabled by default but users can disable it in Docker Desktop
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settings.
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- **Disabled**: GPU support is disabled by default but users can enable it in Docker Desktop
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settings.
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- **Always disabled**: GPU support is disabled and users cannot enable it. The option is
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visible but locked.
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- **User defined**: No enforced default. Users choose whether to enable or disable GPU support in their
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Docker Desktop settings.
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1. Select **Save**.
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For more details on Settings Management, see the [Settings

content/manuals/enterprise/security/hardened-desktop/settings-management/settings-reference.md

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> This setting is only available when Docker Offload capability is enabled for
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> the organization.
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#### Enable Docker Offload GPU Support
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| Default value | Accepted values | Format |
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|---------------|-----------------|----------|
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| `false` | `true`, `false` | Boolean |
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- **Description:** Enable GPU support for Docker Offload features.
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- **OS:** {{< badge color=blue text="All" >}}
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- **Use case:** Enable GPU-accelerated workloads in Docker Offload.
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- **Configure this setting with:**
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- **Docker Offload** settings in [Docker Desktop GUI](/manuals/desktop/settings-and-maintenance/settings.md)
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- Settings Management: `enableCloudGPUSupport` setting in the [`admin-settings.json` file](/manuals/enterprise/security/hardened-desktop/settings-management/configure-json-file.md)
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- Settings Management: **Enable Docker Offload GPU Support** setting in the [Admin Console](/manuals/enterprise/security/hardened-desktop/settings-management/configure-admin-console.md)
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> [!NOTE]
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>
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> This setting requires Docker Offload to be enabled first and is only available when GPU support capability is enabled
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> for the organization.
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### Enable Wasm
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| Default value | Accepted values | Format |

content/manuals/offload/about.md

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@@ -3,7 +3,7 @@ title: About Docker Offload
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linktitle: About
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weight: 15
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description: Learn about Docker Offload, its features, and how it works.
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keywords: cloud, offload, vdi, on-demand gpu, gpu
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keywords: cloud, offload, vdi
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---
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Docker Offload is a fully managed service for building and running containers in
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in virtual desktop infrastructure (VDI) environments or systems that don't support
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nested virtualization.
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Docker Offload also supports GPU-accelerated instances, allowing you to
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containerize and run compute-intensive workloads such as running models and
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other machine learning or data processing tasks that benefit from GPU.
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## Key features
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Docker Offload includes the following capabilities to support modern container
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workflows:
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- GPU acceleration: Use NVIDIA L4 GPU-backed environments for machine learning,
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media processing, and other compute-intensive workloads.
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- Ephemeral cloud runners: Automatically provision and tear down cloud
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environments for each container session.
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- Hybrid workflows: Seamlessly transition between local and remote execution
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- Offload heavy builds and runs to fast, scalable infrastructure
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- Run containers that require more resources than your local setup can provide
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- Build and run AI apps with instant access to GPU-powered environments
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- Use Docker Compose to manage complex, multi-service apps that need cloud
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resources
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- Maintain consistent environments without managing custom infrastructure
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using environments such as virtual desktops, cloud-hosted development machines,
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or older hardware.
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Docker Offload also supports GPU-accelerated workloads. Containers that require
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GPU access can run on cloud instances provisioned with NVIDIA GPUs for
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efficient AI inferencing, media processing, and general-purpose GPU
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acceleration. This enables compute-heavy workflows such as model evaluation,
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image processing, and hardware-accelerated CI tests to run seamlessly in the
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cloud.
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Despite running remotely, features like bind mounts and port forwarding continue
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to work seamlessly, providing a local-like experience from within Docker Desktop
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and the CLI.

content/manuals/offload/configuration.md

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linktitle: Configure
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description: Learn how to configure build settings for Docker Offload.
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keywords: cloud, configuration, settings, offload, gpu
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keywords: cloud, configuration, settings, offload
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---
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{{< summary-bar feature_name="Docker Offload" >}}
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- Toggle **Enable Docker Offload**. When enabled, you can start Offload sessions.
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- Select **Idle timeout**. This is the duration of time between no activity and Docker Offload entering idle mode.
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For details about idle timeout, see [Understand active and idle states](#understand-active-and-idle-states).
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- Check **Enable GPU support**. When enabled, workloads can use cloud GPU if available.
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### Understand active and idle states
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content/manuals/offload/quickstart.md

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linktitle: Quickstart
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description: Learn how to use Docker Offload to build and run your container images faster, both locally and in CI.
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keywords: cloud, quickstart, Docker Desktop, gpu, offload
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keywords: cloud, quickstart, Docker Desktop, offload
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---
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{{< summary-bar feature_name="Docker Offload" >}}
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[Docker Offload](./about.md) lets you build and run containers in the cloud while using your local Docker Desktop tools
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and workflow. This means faster builds, access to powerful cloud resources like GPUs, and a seamless development
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and workflow. This means faster builds, access to powerful cloud resources, and a seamless development
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experience.
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This quickstart covers the steps developers need to get started with Docker Offload.
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3. If you are a member of multiple organizations that have access to Docker Offload, you have the option to select a
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profile. The selected organization is responsible for any usage.
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4. If GPU-accelerated instances are enabled for your organization, you have the option to select **GPU Supported**, or
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**CPU-only support**.
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When Docker Offload is started, you'll see a cloud icon
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({{< inline-image src="./images/cloud-mode.png" alt="Offload mode icon" >}})
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in the Docker Desktop Dashboard header, and the Docker Desktop Dashboard appears purple. You can run
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$ docker run --rm hello-world
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```
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If you enabled GPU support, you can also run a GPU-enabled container:
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```console
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$ docker run --rm --gpus all hello-world
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```
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If Docker Offload is working, you'll see `Hello from Docker!` in the terminal output.
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## Step 4: Monitor your Offload usage
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## Step 5: Stop Docker Offload
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Docker Offload automatically [idles](./configuration.md#understand-active-and-idle-states) after a period of inactivity. You can stop it at
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any time. To stop Docker Offload:
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Docker Offload automatically
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[idles](./configuration.md#understand-active-and-idle-states) after a period of
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inactivity. You can stop it at any time. To stop Docker Offload:
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```console
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$ docker offload stop

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