Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs ac…
---
name: skypilot-multi-cloud-orchestration
description: Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Infrastructure, Multi-Cloud, Orchestration, GPU, Cost Optimization, SkyPilot]
dependencies: [skypilot>=0.7.0]
---
# SkyPilot Multi-Cloud Orchestration
Comprehensive guide to running ML workloads across clouds with automatic cost optimization using SkyPilot.
## When to use SkyPilot
**Use SkyPilot when:**
- Running ML workloads across multiple clouds (AWS, GCP, Azure, etc.)
- Need cost optimization with automatic cloud/region selection
- Running long jobs on spot instances with auto-recovery
- Managing distributed multi-node training
- Want unified interface for 20+ cloud providers
- Need to avoid vendor lock-in
**Key features:**… load the full skill through Skill Me