# C3 Docs

> C3 is a GPU compute marketplace for academics. Users configure projects with a .c3 YAML file and run c3 deploy to provision cloud GPUs, run jobs, and return results.

- [C3 Docs](https://docs.cthree.cloud/index.md)

## artifacts

- [Artifact Output](https://docs.cthree.cloud/artifacts.md): The output of a job is its artifacts. These are things like plots produced by your job, trained neural network weights, or saved checkpoints.

## dashboard

- [Web Dashboard](https://docs.cthree.cloud/dashboard.md): The C3 web dashboard at cthree.cloud/dashboard provides a visual interface for managing your GPU compute jobs, billing, and data.

## data-mounting

- [Data Mounting](https://docs.cthree.cloud/data-mounting.md): How C3 stores data

## environment

- [Environment](https://docs.cthree.cloud/environment.md): When you run code locally, you manage your own Python environment. On C3, you declare your dependencies in your .c3 config and C3 builds the environment on the GPU automatically.

## marketplace

- [Marketplace](https://docs.cthree.cloud/marketplace.md): C3 aggregates GPU capacity from multiple data centers. When you submit a job, we find available compute at competitive rates—no need to manage cloud accounts or hunt for capacity yourself.

## submission

- [Project Configuration](https://docs.cthree.cloud/submission.md): C3 projects are configured with a .c3 YAML file at the project root. Run c3 deploy from anywhere in the project to submit a job.

## warm-pool

- [Warm Pool](https://docs.cthree.cloud/warm-pool.md): C3's warm pool is the key to achieving a "mounted-like" GPU development experience. Instead of waiting minutes for a VM to provision, your code starts running in seconds.