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GPU-accelerated notebook with VESSL AI
Launch a Jupyter Notebook server with an SSH connection
Yong Hee
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1
Under Project → Runs, create a **New run**.
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2
Define the **Name** and **Description** for your interactive run.
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3
Select **Cluster** as [[vessl-gcp-oregon]] **Resource** as [[gpu-l4-small]] .
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Define **Container image** as [quay.io/vessl-ai/torch:2.1.0-cuda12.2-r3](http://quay.io/vessl-ai/torch:2.1.0-cuda12.2-r3).
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5
Enable **Interactive** mode.
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Set the **Max runtime** and **Jupyter idel timeout** as [[24h]] and [[120m]].
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Click **Create** to launch the workload.
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