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SKYPILOT

Run AI workloads on any cloud or cluster with one command

Apache-2.0
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ABOUT

AI teams waste enormous time configuring cloud credentials, provisioning GPUs, and managing fragmented infrastructure across AWS, GCP, Azure, Kubernetes, and on-prem clusters. SkyPilot unifies all of this into a single YAML or Python API, automatically handling scheduling, failover, spot preemptions, and binpacking to maximize fleet utilization and minimize costs.

INSTALL
pip install skypilot

INTEGRATION GUIDE

1. Launch distributed AI training jobs across any cloud or cluster with automatic failover and recovery 2. Serve LLMs with vLLM, SGLang, or Ollama on the cheapest available GPUs across providers 3. Run batch inference and hyperparameter tuning at scale with automatic spot-instance preemption handling 4. Interactive development on remote clusters with automatic code sync and IDE integration

TAGS

pythoncloudkubernetesgpudistributed-trainingllm-servingmlopsmulticloudslurmspot-instances
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