https://github.com/spheronfdn/awesome-spheron

Collection of ready-to-deploy GPU templates for Spheron
https://github.com/spheronfdn/awesome-spheron

List: awesome-spheron

ai gpu spheron web3

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Collection of ready-to-deploy GPU templates for Spheron

• Host: GitHub
• URL: https://github.com/spheronfdn/awesome-spheron
• Owner: spheronFdn
• License: apache-2.0
• Created: 2024-10-07T06:16:20.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-11-05T10:15:06.000Z (15 days ago)
• Last Synced: 2024-11-05T10:20:54.518Z (15 days ago)
• Topics: ai, gpu, spheron, web3
• Language: Jupyter Notebook
• Homepage: https://spheron.network
• Size: 61.5 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Awesome Spheron

This repository contains a collection of ready-to-deploy GPU application templates for Spheron. These templates are designed to make it easier for users to leverage Spheron's GPU capabilities for various AI and Web3 projects.

## Available Templates

### AI x Web3 Protocols

1. [**Flock Validator**](./flock-validator)

   - Run a validator node for the Flock protocol

   - Requires GPU resources

2. [**Kuzco Worker**](./kuzco-worker)

   - Deploy a worker node for the Kuzco protocol

   - Utilizes Spheron's GPU infrastructure

### AI Development Templates

3. [**Jupyter Notebook with PyTorch**](./jupyter-with-pytorch)

   - Pre-installed PyTorch environment

   - Ready for data science and machine learning tasks

4. [**Ollama with WebUI**](./ollama-webui)

   - Test and interact with various LLMs supported by Ollama

   - User-friendly web interface

5. [**Ollama with Pre-installed Model**](./ollama-with-llama3.2/)

   - Ollama server pre-configured with LLaMA 3.2

   - Easily customizable to use any model from the Ollama registry

6. [**VS Code with Ollama**](./vscode-ollama)

   - Remote development environment with GPU support

   - Ideal for building AI applications using Ollama

   - Can be adapted to host your own AI application

7. [**Unsloth Finetuning**](./unsloth-finetuning)

   - Pre-installed Unsloth Jupyter notebook

   - Helpful for trying out finetuning using the Unsloth library

## Getting Started

To use these templates:

1. Clone this repository

2. Choose the template that fits your needs

3. Use the Spheron YAML configuration file and directly deploy it on the [Spheron Console App](https://console.spheron.network)

   OR

   Follow the guide at [Spheron's Deploy Your App documentation](https://docs.spheron.network/user-guide/deploy-your-app) to deploy using the `sphnctl` CLI

## Contributing

We welcome contributions! If you have a template you'd like to add or improvements to existing ones, please submit a pull request.

## Support

For questions or issues, please open an issue in this repository or contact Spheron support on [Discord](https://sphn.wiki/discord).

## License

This project is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for details.