Scale your AI across clouds

SkyPilot is a system to run, manage, and scale AI workloads across any infrastructure.

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Introducing SkyPilot

One system to run, manage, and scale AI workloads anywhere

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SkyPilot unifies your infrastructure into a single control plane. Launch jobs on K8s, slurm, cloud VMs, or reserved hardware. All through one simple, AI-native interface.

Unified system for all AI compute

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Bring any AI compute

Bring any cluster, any cloud, any Kubernetes, or Slurm—under one interface.

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AI-native

From simple CLI to intelligent scheduler and quotas, SkyPilot is designed for fast-moving AI teams.

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Trusted by leading cloud providers

kubernetes
aws
GCP
Azure
CoreWeave
Nebius
Lambda
Together AI
OCI
Paperspace
Vast
Fluidstack
Cudo
RunPod
IBM
SCP
vSphere
Cloudflare
Prime Intellect
Seeweb

Built for AI

SkyPilot gives AI teams a simple interface to run jobs on any infrastructure — and gives infra teams observability, scheduling, and control across all clusters and clouds.

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Development

Spin up instantly. Connect with SSH or IDE of choice.

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Training

Simplified distributed training that scales with just one flag.

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Batch inference

Run cost-efficient, fault-tolerant workloads.

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Deploy,
bring any framework

From training to serving - works with your favorite framework

Scale your AI infra

Easily access massive compute.

Add a new cluster or neocloud in minutes, not days.

Scale with your team.

Users onboard in seconds, enforce admin policies at scale

AI on Kubernetes made easy.

SkyPilot makes K8s simple for AI and infra teams, with Slurm-like ease of use and advanced scheduling.

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Built for teams and enterprises

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Secure, in your premises

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Increase utilization, reduce AI spend

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Team-ready

“This is how we imagined the cloud to work: you define an ML job, it will find the cheapest places to run it and then does the work for you.”
tobi
Tobi Lütke
CEO, Shopify