Where to start

Start
- Get access: Getting authenticated in the cluster
- Quick start: Basic info, links to external tutorials
- Policies: VERY IMPORTANT section! Please read to avoid issues running in the cluster
- Available resources: Additional resources you can get in the cluster
Running: running various kinds of jobs in the cluster efficiently
- Jupyter&Tensorflow2 example: A comprehensive example on how to run the image we provide, containing most popular python libraries for ML
- Running batch jobs
- Dealing with high I/O
- Running permanent services
- Idle pods: How to run “login” pods
- GPUs: Requesting GPUs
- Client scripts: How to use a script from your laptop and not get blocked
- More computing resources: How to get maximum from the cluster
Storage: accessing persistent storage
- Ceph storage: How to get persistent filesystem attached to your pod
- Ceph S3: Better scalable Object storage for billions of files
- Local: Attaching high-speed local scratch space
- Nextcloud: How to share your data and move data into the cluster
Development: efficient techniques to develop your own workflow
- GitLab: Getting access to unlimited space and CI/CD for your projects through our hosted GitLab
- Private repo: How to keep your project private and work with it in Nautilus