---
title: "cloudgpu"
description: "Rent a per-minute GPU from your agent, run a job, download results, shut it down."
canonical: https://agentpluginsdirectory.com/plugins/cloudgpu
last-updated: 2026-11-13
---

# cloudgpu
Rent a per-minute GPU from your agent, run a job, download results, shut it down.
- Slug: cloudgpu
- Publisher: CloudGPU
- Repository: https://github.com/hashgraph-online/awesome-codex-plugins
- Manifest: plugins/mrhy7176/cloudgpu-mcp/plugin.json
- Version: 0.12.1
- License: MIT
- Category (editorial): other
- Skills: 2 (cloudgpu-model-api, cloudgpu)
- MCP servers: 1 (cloudgpu)
- Stars: 1568
- Repository created: 2026-03-28
- Repository last pushed: 2026-11-13
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/cloudgpu
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What cloudgpu does, in the publisher's words

CloudGPU MCP server: let an AI agent compare GPU compute costs, approve source-specific billing, run a job, bring the results back and shut the GPU down. The same API key and balance also cover CloudGPU's OpenAI-compatible model API, so an agent can call a hosted model without renting anything.

> "Fine-tune a 7B base model with LoRA on data/train.jsonl and put the adapter in./outputs."

The agent checks live prices and quotes you, rents the GPU once you say yes, uploads your code and data, starts training in the background, watches the logs, downloads the adapter and destroys the instance. You get the files and the final cost.

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/hashgraph-online/awesome-codex-plugins/HEAD/plugins/mrhy7176/cloudgpu-mcp/README.md