Lambda Labs Gpu Cloud
If you're running ML training jobs that need serious GPU horsepower, this skill gives Claude the knowledge to help you work with Lambda Labs' cloud infrastructure. It covers spinning up on-demand instances with pre-configured Lambda Stack (PyTorch, CUDA, all the usual suspects), managing persistent storage, and setting up multi-node clusters when you need to scale from 16 to 512 GPUs. The big selling point here is simplicity: SSH access, no egress fees, and you're not wrestling with complex cloud abstractions. Good fit for longer training runs where you want dedicated hardware and straightforward pricing, less so for quick experiments or serverless workflows.
- skills.sh installs
- 309
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill lambda-labs-gpu-cloud --agent claude-codeInstalls into .claude/skills of the current project.
Files
If you're running ML training jobs that need serious GPU horsepower, this skill gives Claude the knowledge to help you work with Lambda Labs' cloud infrastructure. It covers spinning up on-demand instances with pre-configured Lambda Stack (PyTorch, CUDA, all the usual suspects), managing persistent storage, and setting up multi-node clusters when you need to scale from 16 to 512 GPUs. The big selling point here is simplicity: SSH access, no egress fees, and you're not wrestling with complex cloud abstractions. Good fit for longer training runs where you want dedicated hardware and straightforward pricing, less so for quick experiments or serverless workflows.
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- Repository
- github.com/davila7/claude-code-templates
- Categories
- Backend & APIs, Data Science & ML, Debugging, Cloud & Infrastructure
- First seen
- Jun 3, 2026
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