JSPM

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  • License Apache-2.0

Free cloud GPUs for learning CUDA

Package Exports

    This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (cgpu) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

    Readme

    CLI enabling Free Cloud GPU access in your terminal for learning CUDA

    nvcc demo

    # Install cgpu
npm i -g cgpu
# First run will launch an interactive setup wizard
# Connect to a cloud GPU instance quickly without setup any time after that
cgpu connect
# Run a command on a cloud GPU instance without a persistent terminal (but mantaining file system state)
cgpu run nvidia-smi

    Serve Gemini for Free as OpenAI-compatible API

    You can start a local server that proxies requests to Google Gemini using the cgpu serve command. This allows you to use Gemini with tools that expect an OpenAI-compatible API.

    # Start the server on port 8080
cgpu serve

# Specify port and model
cgpu serve --port 3000 --default-model gemini-2.0-flash

    For an example of using this with the OpenAI client, check out python_example. This requires you have the gemini cli installed.

    Vision

    
https://github.com/user-attachments/assets/93158031-24fd-4a63-a4cb-1164bea383c3

### Vision
The primary goal of this project to facilitate a high quality developer experience for those without GPUs who would like to learn CUDA C++
This means 3 main things:
1. Free: Avoid having to pay while learning.
2. Highly Available: Run quickly instead of having to wait in a queue so that users can compile quickly and learn faster.
3. In User Terminal: Allows developers to use their own devtools/IDEs (Neovim, Cursor, etc) so they can be most productive.

### Next Steps
I will continue to add to the CLI as I find more free compute sources and developer experience improvements.
To see what I am currently planning to add check out the Issues tab on Github.
Feel free to create new Issues for suggestions/problems you run into while learning!