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AAU HPC

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          • Before you begin
          • Launch instance
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          • Delete and restart an instance from the volume
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          • Before you begin
          • Login
          • File transfer
          • Pulling containers
          • Running jobs
          • Next steps
          • Checkpointing
            • Building your own container image
            • Download container images
            • Adding python packages via virtual environment
            • Creating a conda environment
          • Local scratch space
            • Checking the queue
            • Checking the status of compute nodes
            • Checking GPU usage
            • Run a batch script
            • Multiple GPUs with PyTorch
            • CPU, GPU, and memory allocation
            • Setting a time limit
            • Cancelling jobs
          • Checkpointing
          • Batch LLM Inference
      • About AI-LAB
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      • System overview
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        • Index
        • Video Onboarding Guide
          • 1. Prerequisites
          • 2. Login
          • 3. File Handling
          • 4. Running Jobs
          • 5. Getting Containers
          • 6. Using Containers
          • 7. Monitoring
          • Batch LLM Inference
          • Checkpointing
          • Requeuing jobs
          • CI/CD with GitHub Actions
      • External HPC facilities
      • Overview of HPC facilities
      • How to access

    1. Prerequisites

    To start using AI-LAB, please follow these steps:

    1. Get a user account
    2. Ensure you are connected to the AAU network (including VPN)
    3. Review our Terms and Conditions and Fair Usage Policy

    With these preparations in place, lets get started

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