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skypilot-org/skypilot

A unified system to run, manage, and scale AI workloads efficiently across any infrastructure, including Kubernetes, Slurm, and over 20 cloud providers, optimizing cost and resource availability.

Core Features

Unified AI workload management across diverse infrastructure (clouds, Kubernetes, Slurm).

Simplified job execution and environment definition for AI teams.

Cost optimization through autostop, spot instance support, and intelligent scheduling.

Enhanced Kubernetes experience for AI workloads with Slurm-like ease and advanced scheduling.

Flexible provisioning and auto-recovery for GPUs, TPUs, and CPUs.

Quick Start

pip install -U "skypilot[kubernetes,aws,gcp,azure,oci,nebius,lambda,runpod,fluidstack,paperspace,cudo,ibm,scp,seeweb,shadeform,verda]"

Detailed Introduction

SkyPilot is an open-source platform designed to streamline the execution, management, and scaling of AI workloads across a heterogeneous mix of infrastructure. It provides a single, intuitive interface for AI teams to deploy jobs on Kubernetes, Slurm, and over 20 cloud providers, while offering infrastructure teams a unified control plane for advanced scheduling and orchestration. By abstracting away infrastructure complexities, SkyPilot significantly reduces cloud costs through intelligent resource provisioning, spot instance utilization, and automatic cleanup, ensuring maximum GPU availability and operational efficiency for AI development and deployment.