SkyPilot gives you a unified interface to run ML workloads across 20+ cloud providers with automatic cost optimization and spot instance management. The real value is in the multi-cloud orchestration: it picks the cheapest GPU across AWS, GCP, Azure, or smaller providers, handles spot preemption with auto-recovery, and lets you run distributed training without vendor lock-in. The YAML-based task definitions are straightforward, with built-in support for checkpointing to cloud storage and managed job queues. It's overkill if you're happy with a single cloud provider, but if you're burning through GPU budgets or need resilience across providers, this is the tool that actually delivers on the multi-cloud promise without adding kubernetes-level complexity.
npx skills add https://github.com/orchestra-research/ai-research-skills --skill skypilot-multi-cloud-orchestration