SkyPilot is a framework designed to run large language models, AI workloads, and other batch jobs across cloud platforms. It abstracts infrastructure complexities, maximizes GPU availability through autoscaling groups across regions/zones, and aggressively pursues cost optimization with managed spot instances. SkyPilot aims to require no code changes to existing applications
What is SkyPilot? ☁️
Cloud-Agnostic ML Platform
- Multi-cloud support – AWS, Google Cloud, Azure, Lambda Labs
- Unified interface – Same commands work across all clouds
- Cost optimization – Automatically finds cheapest resources
- Easy scaling – From single GPUs to large clusters
Key Features:
🚀 Simple Execution
💰 Cost Optimization
- Spot instance management – Automatic preemption handling
- Cross-cloud pricing – Finds cheapest resources across clouds
- Resource right-sizing – Matches workload to optimal instance types
📊 Auto-scaling & Management
- Cluster management – Automatic setup and teardown
- Job queuing – Handles multiple tasks efficiently
- Fault tolerance – Automatic recovery from spot interruptions.
- Key Points
- Simplifies launching distributed jobs on clouds with YAML configs
- Automatically provisions transient resources using aggressive spot bidding
- Supports model serving from Docker containers over HTTP
- Currently focused on AWS but expanding multi-cloud support
- Emergingacademic project with goal of making large models accessible
Notes from San Francisco 