chore: migrate to a10.2 gpu for gpu e2e

[jaiakash]

What this PR does / why we need it:
This PR migrates the runner for GPU E2E to A10.2 with 2 GPUs. This also updates the Qwen eg to run with 2 GPUs.

Related #3201

Checklist:

• Docs included if any changes are user facing

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[Copilot]

Pull request overview

Migrates the GPU E2E GitHub Actions job to a new A10.2 self-hosted runner configuration with 2 GPUs, and updates example notebooks/test parameters to request 2 GPUs accordingly.

Changes:

• Update GPU E2E workflow to run on the oracle-vm-gpu-a10-2 runner label.
• Increase GPU allocation in the TorchTune Qwen2.5 Alpaca notebook (resources_per_node["gpu"] = 2).
• Run the JAX MNIST notebook in GPU E2E with num_gpu=2.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

File	Description
examples/torchtune/qwen2_5/qwen2.5-1.5B-with-alpaca.ipynb	Requests 2 GPUs for the TorchTune Qwen2.5 training example (plus notebook metadata churn).
.github/workflows/test-e2e-gpu.yaml	Switches GPU E2E runner label to A10.2 and updates JAX notebook execution params to use 2 GPUs.

[Copilot]

The notebook title has a typo: "Qwe2.5" should be "Qwen2.5" to match the actual model name and avoid confusion when searching/reading the example.

Suggested change

	"# Fine-tune Qwe2.5-1.5B with Alpaca Dataset"
	"# Fine-tune Qwen2.5-1.5B with Alpaca Dataset"

[tenzen-y]

Thanks for updating infra.

[tenzen-y]

Why do we need to change this?

[jaiakash]

Now the runner has 2 GPUs. So by default, in the qwen notebook eg itself I have requested GPU as 2.

[tenzen-y]

Sounds good, thank you for describing that!
/lgtm
/approve

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