These tutorials are designed to get you started with common applications and workloads on CUDO Compute. For detail on CUDO Compute resource specifics, refer to the Guides section.
- AI & machine learning
- Bioinformatics
- Rendering & video editing
- Other
MLflow
Set up MLflow tracking server on CUDO Compute.
PyTorch
Run distributed PyTorch training on a cluster.
Stable Diffusion
Deploy Stable Diffusion for image generation.
Jupyter
Host Jupyter notebooks on a virtual machine.
Ollama and Google Gemma
Run local LLMs with Ollama and Google Gemma.
TensorFlow
Run distributed TensorFlow training on a cluster.
Need help?
If you have a specific use case or application you’d like to see covered, please let us know! We’re always looking to expand our tutorials based on user feedback. You can reach out to us via the support chat in the CUDO Compute web console or email us at support@cudocompute.com.