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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.

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.

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Something missing?

If you need a tutorial for an application or framework that we haven’t covered, please open a support ticket. We’re always looking to expand our tutorials based on user feedback.