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docs: restructure docs for nvidia drivers for v1.4
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Re-structure docs for proprietary NVIDIA docs for Talos v1.4.

Signed-off-by: Noel Georgi <git@frezbo.dev>
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@stereobutter @frezbo
stereobutter authored and frezbo committed Aug 18, 2023
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161 changes: 83 additions & 78 deletions website/content/v1.4/talos-guides/configuration/nvidia-gpu-proprietary.md
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Original file line number Diff line number Diff line change
Expand Up @@ -7,13 +7,12 @@ aliases:

> Enabling NVIDIA GPU support on Talos is bound by [NVIDIA EULA](https://www.nvidia.com/en-us/drivers/nvidia-license/).
These are the steps to enabling NVIDIA support in Talos.
The steps to enable NVIDIA support in Talos in v1.4.8 and later differ from
previous versions:

- Talos pre-installed on a node with NVIDIA GPU installed.
- Building a custom Talos installer image with NVIDIA modules
- Upgrading Talos with the custom installer and enabling NVIDIA modules and the system extension

This requires that the user build and maintain their own Talos installer image.
* For versions prior to v1.4.8 the steps require that the user build and maintain their own Talos installer image.
After the [Prerequisites](#prerequisites) jump to [Building the installer image (Talos prior to v1.4.8)](#building-the-installer-image-talos-prior-to-v148) and after [Upgrading Talos and enabling the NVIDIA modules and the system extension (Talos prior to v1.4.8)](#upgrading-talos-and-enabling-the-nvidia-modules-and-the-system-extension-talos-prior-to-v148) continue from [Verifying the NVIDIA modules and the system extension](#verifying-the-nvidia-modules-and-the-system-extension).
* for v1.4.8 and later versions building a custom Talos installer image is not required anymore and the new, prefered way to enable NVIDIA support is via an extension.

## Prerequisites

Expand All @@ -36,10 +35,14 @@ export REGISTRY=ghcr.io

> The examples below will use the sample variables set above.
> Modify accordingly for your environment.
> If using Talos v1.4.8 or later follow the steps below and directly jump to [Verifying the NVIDIA modules and the system extension](#verifying-the-nvidia-modules-and-the-system-extension)
## Building the NVIDIA extensions

> Instead of building the extensions yourself, you can use the extensions
> published by SideroLabs in the `pkgs` repo
> [here](https://github.com/siderolabs/extensions/pkgs/container/nonfree-kmod-nvidia) and
> [here](https://github.com/siderolabs/extensions/pkgs/container/nvidia-container-toolkit)
Start by cloning the `release-1.5` branch [extensions](https://github.com/siderolabs/extensions) repository.

```bash
Expand All @@ -59,6 +62,8 @@ make nonfree-kmod-nvidia PKGS=<pkgs-version-looked-up-above> PLATFORM=linux/amd6
> Replace the platform with `linux/arm64` if building for ARM64
> Make sure to use `talosctl` version {{< release >}} or later
## Upgrading Talos and enabling the NVIDIA modules and the system extension

First create a patch yaml `gpu-worker-patch.yaml` to update the machine config similar to below:

```yaml
Expand Down Expand Up @@ -93,77 +98,6 @@ Now we can proceed to upgrading Talos to the same version to enable the system e
talosctl upgrade --image=ghcr.io/siderolabs/installer:{{< release >}}
```

## Building the installer image

Start by cloning the [pkgs](https://github.com/siderolabs/pkgs) repository.

Now run the following command to build and push custom Talos kernel image and the NVIDIA image with the NVIDIA kernel modules signed by the kernel built along with it.

```bash
make kernel nonfree-kmod-nvidia PLATFORM=linux/amd64 PUSH=true
```

> Replace the platform with `linux/arm64` if building for ARM64
Now we need to create a custom Talos installer image.

Start by creating a `Dockerfile` with the following content:

```Dockerfile
FROM scratch as customization
COPY --from=ghcr.io/talos-user/nonfree-kmod-nvidia:{{< release >}}-nvidia /lib/modules /lib/modules

FROM ghcr.io/siderolabs/installer:{{< release >}}
COPY --from=ghcr.io/talos-user/kernel:{{< release >}}-nvidia /boot/vmlinuz /usr/install/${TARGETARCH}/vmlinuz
```

Now build the image and push it to the registry.

```bash
DOCKER_BUILDKIT=0 docker build --squash --build-arg RM="/lib/modules" -t ghcr.io/talos-user/installer:{{< release >}}-nvidia .
docker push ghcr.io/talos-user/installer:{{< release >}}-nvidia
```

> Note: buildkit has a bug [#816](https://github.com/moby/buildkit/issues/816), to disable it use DOCKER_BUILDKIT=0
> Replace the platform with `linux/arm64` if building for ARM64
## Upgrading Talos and enabling the NVIDIA modules and the system extension

> Make sure to use `talosctl` version {{< release >}} or later
First create a patch yaml `gpu-worker-patch.yaml` to update the machine config similar to below:

```yaml
- op: add
path: /machine/install/extensions
value:
- image: ghcr.io/siderolabs/nvidia-container-toolkit:{{< nvidia_driver_release >}}-{{< nvidia_container_toolkit_release >}}
- op: add
path: /machine/kernel
value:
modules:
- name: nvidia
- name: nvidia_uvm
- name: nvidia_drm
- name: nvidia_modeset
- op: add
path: /machine/sysctls
value:
net.core.bpf_jit_harden: 1
```

Now apply the patch to all Talos nodes in the cluster having NVIDIA GPU's installed:

```bash
talosctl patch mc --patch @gpu-worker-patch.yaml
```

Now we can proceed to upgrading Talos with the installer built previously:

```bash
talosctl upgrade --image=ghcr.io/talos-user/installer:{{< release >}}-nvidia
```

## Verifying the NVIDIA modules and the system extension

Once the node reboots, the NVIDIA modules should be loaded and the system extension should be installed.
Expand Down Expand Up @@ -268,3 +202,74 @@ kubectl run \
--overrides '{"spec": {"runtimeClassName": "nvidia"}}' \
nvidia-smi
```

## Building the installer image (Talos prior to v1.4.8)

Start by cloning the [pkgs](https://github.com/siderolabs/pkgs) repository.

Now run the following command to build and push custom Talos kernel image and the NVIDIA image with the NVIDIA kernel modules signed by the kernel built along with it.

```bash
make kernel nonfree-kmod-nvidia PLATFORM=linux/amd64 PUSH=true
```

> Replace the platform with `linux/arm64` if building for ARM64
Now we need to create a custom Talos installer image.

Start by creating a `Dockerfile` with the following content:

```Dockerfile
FROM scratch as customization
COPY --from=ghcr.io/talos-user/nonfree-kmod-nvidia:{{< release >}}-nvidia /lib/modules /lib/modules

FROM ghcr.io/siderolabs/installer:{{< release >}}
COPY --from=ghcr.io/talos-user/kernel:{{< release >}}-nvidia /boot/vmlinuz /usr/install/${TARGETARCH}/vmlinuz
```

Now build the image and push it to the registry.

```bash
DOCKER_BUILDKIT=0 docker build --squash --build-arg RM="/lib/modules" -t ghcr.io/talos-user/installer:{{< release >}}-nvidia .
docker push ghcr.io/talos-user/installer:{{< release >}}-nvidia
```

> Note: buildkit has a bug [#816](https://github.com/moby/buildkit/issues/816), to disable it use DOCKER_BUILDKIT=0
> Replace the platform with `linux/arm64` if building for ARM64
## Upgrading Talos and enabling the NVIDIA modules and the system extension (Talos prior to v1.4.8)

> Make sure to use `talosctl` version {{< release >}} or later
First create a patch yaml `gpu-worker-patch.yaml` to update the machine config similar to below:

```yaml
- op: add
path: /machine/install/extensions
value:
- image: ghcr.io/siderolabs/nvidia-container-toolkit:{{< nvidia_driver_release >}}-{{< nvidia_container_toolkit_release >}}
- op: add
path: /machine/kernel
value:
modules:
- name: nvidia
- name: nvidia_uvm
- name: nvidia_drm
- name: nvidia_modeset
- op: add
path: /machine/sysctls
value:
net.core.bpf_jit_harden: 1
```

Now apply the patch to all Talos nodes in the cluster having NVIDIA GPU's installed:

```bash
talosctl patch mc --patch @gpu-worker-patch.yaml
```

Now we can proceed to upgrading Talos with the installer built previously:

```bash
talosctl upgrade --image=ghcr.io/talos-user/installer:{{< release >}}-nvidia
```
24 changes: 23 additions & 1 deletion website/content/v1.5/talos-guides/configuration/nvidia-gpu-proprietary.md
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Expand Up @@ -14,7 +14,7 @@ The published versions of the NVIDIA system extensions can be found here:
- [nonfree-kmod-nvidia](https://github.com/siderolabs/extensions/pkgs/container/nonfree-kmod-nvidia)
- [nvidia-container-toolkit](https://github.com/siderolabs/extensions/pkgs/container/nvidia-container-toolkit)

> To build a NVIDIA driver version not published by SideroLabs follow the instructions [here]({{< relref "../../../v1.4/talos-guides/configuration/nvidia-gpu-proprietary" >}})
> To build a NVIDIA driver version not published by SideroLabs jump to [Building the NVIDIA extensions](#building-the-nvidia-extensions) and then use those in the steps below instead of the ones published by SideroLabs
## Upgrading Talos and enabling the NVIDIA modules and the system extension

Expand Down Expand Up @@ -160,3 +160,25 @@ kubectl run \
--overrides '{"spec": {"runtimeClassName": "nvidia"}}' \
nvidia-smi
```

## Building the NVIDIA extensions

If you want to build the NVIDIA extensions yourself instead of using the extensions
published by SideroLabs start by cloning the `release-1.5` branch [extensions](https://github.com/siderolabs/extensions) repository.

```bash
git clone --depth=1 --branch=release-1.5 https://github.com/siderolabs/extensions.git
```

Lookup the version of [pkgs](https://github.com/siderolabs/pkgs) used for the particular Talos version at `https://github.com/siderolabs/talos/blob/<talos-version>/pkg/machinery/gendata/data/pkgs`.

Now run the following command to build and push custom NVIDIA extension.

```bash
make nonfree-kmod-nvidia PKGS=<pkgs-version-looked-up-above> PLATFORM=linux/amd64 PUSH=true
```

> Replace the platform with `linux/arm64` if building for ARM64.
> To change the NVIDIA driver version modify the build argument in
> `nvidia-gpu/nonfree/kmod-nvidia/vars.yaml` accordingly.
> Make sure to use `talosctl` version {{< release >}} or later

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