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Documentation Index

Fetch the complete documentation index at: https://docs.cyberun.cloud/llms.txt

Use this file to discover all available pages before exploring further.

Cyberun Cloud is the dashboard for running AI work on GPU infrastructure you control. Sign in, create a team, connect one or more agents, and dispatch tasks against workflows. The agents run on your hardware; Cloud schedules them and shows you what’s happening.

What you can do here

  • Generate images and video from ComfyUI graphs your team publishes, with your team’s agents picking the work up.
  • Train 3D Gaussian splat scenes with the Nerfstudio wizard (when enabled on your deployment).
  • Run any custom workflow the team has uploaded — text-to-X, enhance, batch, control-net pipelines, anything ComfyUI can do.
  • Drive everything from your AI client — Claude Code, Cursor, Windsurf, Codex CLI, VS Code 1.101+ — through the MCP endpoint using an integration key.
  • Share results with teammates and partners by inviting them into a team and pointing them at the workflow.

Concepts in 60 seconds

  • A team holds your agents, workflows, models, credentials, and members. It’s the access boundary.
  • A workflow is a reusable template (a ComfyUI graph, a Nerfstudio pipeline, …) plus the agent labels that pick where it can run.
  • An agent is a process on a GPU machine your team controls. It dials out to Cyberun and accepts tasks. You bring the hardware.
  • A task is one execution of a workflow. Outputs (images, video, models, etc.) appear on the task’s result page.
  • Credentials come in three flavours — integration (sk-) for scripts and AI clients, agent (ak-) for GPU hosts, device (dk-) for devices paired through the Cyberun CLI.

How it fits together

You sign in through the browser; your AI clients call the same platform through MCP; both end up dispatching tasks to the agents your team runs.

Next steps

Sign up

Create your Cyberun account and verify your email.

Create your first team

Teams are the unit of scoping in Cyberun.

Run your first task

Pick a workflow, supply parameters, watch it execute.

Connect an AI client

Drive workflows from Claude Code, Cursor, or any MCP client.