Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
lambda-labs-gpu-cloud
lambda-labs-gpu-cloud is an open-source devops skill for Claude Code and compatible agents, published by Orchestra-Research. Its author describes it as: “Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-sca…”. The project has 12k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`.
What lambda-labs-gpu-cloud does
Comprehensive guide to running ML workloads on Lambda Labs GPU cloud with on-demand instances and 1-Click Clusters.
Installation
Add lambda-labs-gpu-cloud to your agent with:
/plugin marketplace add Orchestra-Research/AI-Research-SKILLsAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for lambda-labs-gpu-cloud is organised into these sections:
- When to use Lambda Labs
- Quick start
- Account setup
- Launch via console
- Connect via SSH
- GPU instances
- Available GPUs
- Instance configurations
- Launch times
- Lambda Stack
- Verify installation
- Python API
When to use it
Reach for lambda-labs-gpu-cloud when you want devops help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does lambda-labs-gpu-cloud do?
- Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
- How do I install lambda-labs-gpu-cloud?
- Run /plugin marketplace add Orchestra-Research/AI-Research-SKILLs in your agent, then reload your skills. Review the source at https://github.com/Orchestra-Research/AI-Research-SKILLs before installing.
- Is lambda-labs-gpu-cloud free to use?
- Yes. lambda-labs-gpu-cloud is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does lambda-labs-gpu-cloud come from?
- lambda-labs-gpu-cloud ships inside Orchestra-Research/AI-Research-SKILLs, a repository that contains 41 catalogued skills in total. The repository's 11,807 GitHub stars apply to that whole collection, not to this skill on its own.
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