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AAU HPC

By CLAAUDIA

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      • Home
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          • Before you begin
          • Launch instance
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          • Shutting down
          • Strato applications
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          • Attaching a volume for additional storage
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          • Transfer volumes on Strato
          • Check ownership of instances and volumes on Strato
          • Delete and restart an instance from the volume
          • Stop, pause & delete instances
          • Create smaller volumes
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          • Before you begin
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      • About AI Cloud
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      • System overview
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      • Fair usage
          • Prerequisites
          • Log in
          • Look around
          • File transfer
          • Container images
          • Run jobs
            • Understanding the Linux CLI
            • Edit text files with Nano
            • Useful commands
          • Directories overview
            • Pulling container images from the internet
            • Building your own container image
            • Creating a virtual environment
            • Multiple GPUs with PyTorch
            • Checkpointing
            • CPU, GPU, and memory allocation
            • Setting a time limit
            • Cancelling jobs
            • Checking the queue
            • Checking the status of compute nodes
            • Checking GPU utilisation
            • Batch LLM Inference
      • About AI-LAB
      • How to access
      • System overview
      • Troubleshooting
      • Terms and Conditions
      • Fair Usage
        • 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
          • 1. Introduction to AI-LAB
          • 2. What is AI-LAB?
          • 3. AI-LAB Under the Hood
          • 4. The AI-LAB Workflow
          • 5. Logging into AI-LAB
          • 6. File Handling on AI-LAB
          • 7. Essential Linux Commands
          • 8. Transferring Files
          • 9. Slurm
          • 10. Two Ways of Running Jobs
          • 11. Exercise 1
          • 12. Creating a job script
          • 13. Exercise 2
          • 14. Allocating Resources
          • 15. Containers
          • 16. Getting Containers
          • 17. Using Containers
          • 18. Exercise 3
          • 19. Final pointers
      • External HPC facilities
      • DeiC HPC resources
      • EuroHPC resources
      • LUMI

    Index

    • Adding Python packages
    • Batch LLM Inference
    • Build your own container
    • Cancelling jobs
    • Checking GPU utilization
    • Checking the queue
    • Checking the status of compute nodes
    • Checkpointing
    • CI/CD with GitHub Actions
    • Creating shared project directories
    • Download containers
    • Essential Linux commands
    • Getting access
    • Login
    • Requeuing jobs
    • Running jobs using sbatch
    • Running jobs using srun
    • Specifying job options
    • Transfer files between your local computer and AI-LAB
    • Using containers
    • Using pre-downloaded containers