Examples Catalog
Explore a collection of ready-to-use examples for running jobs on the Nosana Network. These examples demonstrate various use cases, from simple commands to complex AI inference workloads.
Nosana is a fully permissionless network, which means you can run whatever model or workload you want! You can also find more examples and templates on Nosana Templates on GitHub.
Getting Started Examples
Hello World
A simple example demonstrating how to run a basic shell command in an Ubuntu container. Perfect for understanding the fundamentals of Nosana job definitions.
Multi Job
Learn how to run multiple jobs in parallel, coordinating multiple containers to work together.
AI Inference Examples
Jupyter
Run Jupyter Notebooks with GPU support and access them via a web interface. Perfect for data science experiments and research.
Ollama
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models. Communicate with your models via an API endpoint.
vLLM
Create an OpenAI-compatible API endpoint using the VLLM engine with cached resources on the Nosana network.
TinyLlama
Run the TinyLlama language model for fast inference workloads.
LMDeploy
Deploy language models using LMDeploy for efficient inference.
Image Generation
Stable Diffusion WebUI
Run Stable Diffusion WebUI to generate stunning images using advanced AI. Access a full web interface for image creation.
Audio Processing
Whisper
Run OpenAI's Whisper model for speech recognition and transcription tasks.
Web Interfaces
Open WebUI
Deploy Open WebUI to interact with language models through a user-friendly web interface.
Getting Help
If you need help with any of these examples or want to create your own, check out:
- Job Execution Flow - Learn how jobs are executed on the network
- Job Definition - Understand the job definition structure
- Nosana Templates - More examples on GitHub