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un-def merged 2 commits into from
Oct 7, 2024
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[Docs] Add AMD GPU info to ssh fleets section #1779

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[Docs] Add AMD GPU info to ssh fleets section
un-def Oct 3, 2024
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- [Docs] Minor edits
peterschmidt85 Oct 7, 2024
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14 changes: 11 additions & 3 deletions docs/docs/concepts/fleets.md
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Expand Up @@ -91,9 +91,17 @@ are both acceptable).

!!! info "Requirements"
Hosts should be pre-installed with Docker.
Systems with NVIDIA GPUs should also be pre-installed with CUDA 12.1 and
[NVIDIA Container Toolkit :material-arrow-top-right-thin:{ .external }](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
The user should have `sudo` access.

=== "NVIDIA"
Systems with NVIDIA GPUs should also be pre-installed with CUDA 12.1 and
[NVIDIA Container Toolkit :material-arrow-top-right-thin:{ .external }](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).

=== "AMD"
Systems with AMD GPUs should also be pre-installed with AMDGPU-DKMS kernel driver (e.g. via
[native package manager :material-arrow-top-right-thin:{ .external }](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/native-install/index.html)
or [AMDGPU installer :material-arrow-top-right-thin:{ .external }](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/amdgpu-install.html).)

The user should have passwordless `sudo` access.

??? info "Environment variables"
For SSH fleets, it's possible to pre-configure environment variables.
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6 changes: 2 additions & 4 deletions examples/accelerators/amd/README.md
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@@ -1,9 +1,7 @@
# AMD

Since [0.18.11 :material-arrow-top-right-thin:{ .external }](https://github.com/dstackai/dstack/releases/0.18.11rc1){:target="_blank"},
you can specify an AMD GPU under `resources`. Below are a few examples.

> AMD accelerators are currently supported only with the [`runpod`](https://dstack.ai/docs/reference/server/config.yml/#runpod) backend.
If you're using the `runpod` backend or have set up an [SSH fleets](https://dstack.ai/docs/concepts/fleets#ssh-fleets)
with on-prem AMD GPUs, you can use AMD GPUs.

## Deployment

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