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.