All tutorials

Step-by-step guides to common tasks using the CUDO Compute.

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

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.

Bioinformatics

GROMACS

Run GROMACS molecular dynamics simulations on a cluster.

OpenMPI & CUDA

Set up OpenMPI with CUDA support on a cluster.

Parabricks

Deploy Parabricks for accelerated genomics analysis.

Rendering & video editing

Blender Cycles Rendering

Set up Blender for GPU-accelerated rendering on a cluster.

DaVinci Resolve

Run DaVinci Resolve for video editing on a virtual machine.

Thinkbox Deadline

Deploy Thinkbox Deadline for render farm management.

Other

How to generate SSH keys

Generate SSH keys for secure access to your instances.

Kong API Gateway

Set up Kong API Gateway on a virtual machine.

MinIO

Deploy MinIO for S3-compatible object storage.

Windows RDP

Access Windows virtual machines via RDP.

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.