skypilot-multi-cloud-orchestration

Multi-cloud orchestration allows you to run distributed multi-node training across AWS, GCP, and Azure through a unified interface. It manages workloads seamlessly across over 20 cloud providers without requiring separate configurations for each platform.

To optimize GPU cloud costs, use an orchestration tool that automatically selects the cheapest cloud and region for your machine learning workloads. Leveraging spot instances with automatic recovery can achieve significant cost savings of 3-6x.

Yes, you can use spot instances for long-running managed jobs without losing progress through auto-recovery and checkpointing features. The orchestration layer provides fault tolerance, automatically recovering from spot instance preemptions to ensure tasks complete successfully.

Yes, SkyPilot works with over 20 cloud providers for MLOps infrastructure by providing a unified interface. It orchestrates machine learning workloads across multiple clouds, optimizing for cost and utilizing spot instances with robust recovery mechanisms.

To launch a GPU instance on AWS with a custom command, use the orchestration tool's quick start feature to provision a T4 GPU. You can specify execution commands like 'nvidia-smi' directly during the instance setup to verify the environment.