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Fix links and content authored by Pramod Ramarao's avatar Pramod Ramarao
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......@@ -29,10 +29,10 @@ Yes - beta support of the NVIDIA Container Runtime is now available on Jetson pl
No, we do not support macOS (regardless of the version), however you can use the native macOS Docker client to deploy your containers remotely (refer to the [dockerd documentation](https://docs.docker.com/engine/reference/commandline/dockerd/#description)).
#### Is Microsoft Windows supported?
No, we do not support Microsoft Windows (regardless of the version), however you can use the native Microsoft Windows Docker client to deploy your containers remotely (refer to the [dockerd documentation](https://docs.docker.com/engine/reference/commandline/dockerd/#description)).
No, we do not support Microsoft Windows (regardless of the version), however you can use the native Microsoft Windows Docker client to deploy your containers remotely (refer to the [dockerd documentation](https://docs.docker.com/engine/reference/commandline/dockerd/#description)). We also support running Linux containers in Microsoft Windows Subsystem for Linux (WSL 2). Visit the [user guide](https://docs.nvidia.com/cuda/wsl-user-guide/index.html) for getting started with WSL 2.
#### Do you support Microsoft native container technologies (e.g. Windows server, Hyper-v)?
No, we do not support native Microsoft container technologies.
#### Do you support Microsoft native container technologies (e.g. Windows Server, Hyper-v)?
No, we do not yet support native Microsoft container technologies.
#### Do you support Optimus (i.e. NVIDIA dGPU + Intel iGPU)?
Yes, from the CUDA perspective there is no difference as long as your dGPU is powered-on and you are following the official driver instructions.
......@@ -77,7 +77,7 @@ No, MPS is not supported at the moment. However we plan on supporting this featu
No, running a X server inside the container is not supported at the moment and there is no plan to support it in the near future (see also [OpenGL support](#is-opengl-supported)).
#### I have multiple GPU devices, how can I isolate them between my containers?
GPU isolation is achieved through the CLI option `--gpus`. Devices can be referenced by index (following the PCI bus order) or by UUID.
GPU isolation is achieved through the CLI option `--gpus`. Devices can be referenced by index (following the PCI bus order) or by UUID. See the [user guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html) for more information on these options.
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