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SKYPILOT
Run, manage, and scale AI workloads on any AI infrastructure
Apache-2.0
ABOUT
Managing AI compute across multiple cloud providers, Kubernetes clusters, and on-prem infrastructure requires learning vendor-specific APIs and dealing with complex configuration. SkyPilot unifies this by providing a single interface to launch and manage jobs across 20+ platforms with automatic failover and cost optimization.
INSTALL
# With uv (recommended):
uv pip install "skypilot[kubernetes,aws,gcp,azure]"
# Or with pip:
# pip install skypilot
INTEGRATION GUIDE
1. Launch LLM training and inference jobs across multiple clouds with one command
2. Automatically find the cheapest available GPU instances across cloud providers
3. Manage spot instance preemptions with automatic checkpointing and recovery
4. Deploy distributed training clusters on Kubernetes or Slurm without manual setup
TAGS
pythoninfrastructurecloudgpukubernetesdistributed