remote-gpu-trainer

About remote-gpu-trainer

remote-gpu-trainer An Agent Skill for running long GPU jobs on machines you rent but don't own. Deploy, train, monitor, and tear down safely across AutoDL, RunPod, vast.ai, Lambda, Paperspace, the Chinese platforms (恒源云 / 矩池云 / Featurize / 揽睿星舟), bare SSH boxes, Slurm, and Kubernetes. One instance, or a fan-out of many. Disambiguation: "AutoDL" here is the autodl.com GPU-rental platform, not AutoML or NAS. And this is an Agent Skill — a with reference docs and script templates — not a CLI or an SDK.

agent-skills autodl claude-code codex cursor distributed-training experiment-tracking gpu llm-training mlops

Quick Facts

Stars	52
Forks	5
Language	Shell
Category	Codex Skill
License	MIT
Quality Score	66.6514511037527/100
Last Updated	2026-07-08
Created	2026-06-18
Platforms	claude-code, cli, codex
Est. Tokens	~14k

Compatible Skills

These tools work well together with remote-gpu-trainer for enhanced workflows:

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Frequently Asked Questions

What is remote-gpu-trainer?

remote-gpu-trainer is An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.. It is categorized as a Codex Skill with 52 GitHub stars.

What programming language is remote-gpu-trainer written in?

remote-gpu-trainer is primarily written in Shell. It covers topics such as agent-skills, autodl, claude-code.

How do I install or use remote-gpu-trainer?

You can find installation instructions and usage details in the remote-gpu-trainer GitHub repository at github.com/Hanyuyuan6/remote-gpu-trainer. The project has 52 stars and 5 forks, indicating an active community.

What license does remote-gpu-trainer use?

remote-gpu-trainer is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools