SDPA tutorial requires newer CUDA, so host it on an A10G

[janeyx99]

Description

Should fix the fact that I run into tutorial build issues when the sharding algorithm punts the tutorial to a different worker that has too old of a GPU.

RuntimeError: Found Tesla M60 which is too old to be supported by the triton GPU compiler, which is used as the backend. Triton only supports devices of CUDA Capability >= 7.0, but your device is of CUDA capability 5.2

Error logs: https://github.com/pytorch/tutorials/actions/runs/6281857867/job/17060687817

Checklist

• The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
• Only one issue is addressed in this pull request
• Labels from the issue that this PR is fixing are added to this pull request
• No unnecessary issues are included into this pull request.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2571

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As of commit 4af9d49 with merge base 677c1b6 ():
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[malfet]

A bit ugly, but would work...

[janeyx99]

@malfet is there a better solution