Lambda Labs Gpu Cloud
This gives Claude direct control over Lambda Labs GPU instances through their Python API and CLI. You get reserved and on-demand access to everything from V100s to H100s and B200s, with persistent filesystems and pre-installed ML stacks. The skill covers the full workflow: launching instances, SSH setup, attaching storage, and running distributed training jobs. Lambda's appeal is simplicity: no egress fees, straightforward per-minute pricing, and instances that come ready with PyTorch and CUDA. If you need dedicated GPU access without orchestration overhead, this is more straightforward than SkyPilot or Modal, though you'll pay a premium over spot marketplaces like Vast.ai. The 1-Click Clusters feature for multi-node training (16-512 GPUs) is solid for serious distributed work.
- skills.sh installs
- 1K
- GitHub stars
- 14.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add orchestra-research/ai-research-skills --skill lambda-labs-gpu-cloud --agent claude-codeInstalls into .claude/skills of the current project.
Files
Lambda Labs GPU Cloud
Comprehensive guide to running ML workloads on Lambda Labs GPU cloud with on-demand instances and 1-Click Clusters.
When to use Lambda Labs
Use Lambda Labs when:
- Need dedicated GPU instances with full SSH access
- Running long training jobs (hours to days)
- Want simple pricing with no egress fees
- Need persistent storage across sessions
- Require high-performance multi-node clusters (16-512 GPUs)
- Want pre-installed ML stack (Lambda Stack with PyTorch, CUDA, NCCL)
Key features:
- GPU variety: B200, H100, GH200, A100, A10, A6000, V100
- Lambda Stack: Pre-installed PyTorch, TensorFlow, CUDA, cuDNN, NCCL
- Persistent filesystems: Keep data across instance restarts
- 1-Click Clusters: 16-512 GPU Slurm clusters with InfiniBand
- Simple pricing: Pay-per-minute, no egress fees
- Global regions: 12+ regions worldwide
Use alternatives instead:
- Modal: For serverless, auto-scaling workloads
- SkyPilot: For multi-cloud orchestration and cost optimization
- RunPod: For cheaper spot instances and serverless endpoints
- Vast.ai: For GPU marketplace with lowest prices
Quick start
Account setup
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- Repository
- github.com/orchestra-research/ai-research-skills
- Categories
- Backend & APIs, AI & Agent Building, Data Science & ML, Debugging, Cloud & Infrastructure
- First seen
- Jun 3, 2026
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