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InfraSkyPilot

SkyPilot

Run AI and batch jobs on any cloud or Kubernetes, from one interface.

Category
Infra
Pricing
FREE
Platforms
CLIAPILinuxmacOS
Models
Model-agnostic
Verified
Jun 8, 2026

An open-source framework for running, managing, and scaling AI and batch workloads across Kubernetes, Slurm, and 20+ cloud providers through a single unified interface. It abstracts away per-provider setup, optimizes for cost and GPU availability, and automatically fails over between regions and clouds when capacity is scarce. You run it yourself against your own infrastructure — the software is free and Apache-2.0 licensed; you pay only your own cloud bills.

Capabilities 2

What it actually does — grouped by capability family.

  • Workflow orchestration (primary capability)
  • GPU compute (secondary capability)

Pros & cons

  • One interface across many clouds and Kubernetes
  • Auto cost/availability optimization, spot failover
  • Runs on your own cloud accounts
  • Abstracts away per-provider setup
  • Task-level tool, not a full managed platform
  • You bring and pay for the underlying cloud
  • Less turnkey than hosted GPU providers
  • Requires some cloud/infra comfort

Tags

Further reading

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    Runpod

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    GPU cloud for AI — on-demand instances and serverless inference.

    Runpod is an AI developer cloud for renting GPUs on demand or running auto-scaling serverless inference endpoints. Serverless workers bill by the millisecond, scale to zero when idle, and advertise sub-200ms cold starts; on-demand Pods and multi-node Clusters cover training and long-running jobs. A Community Cloud tier offers cheaper, peer-sourced GPUs alongside the vendor-operated Secure Cloud.

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    Beam

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    On-demand serverless GPU compute for AI, from Python.

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    • gpu
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  • View Lightning AI details
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    Lightning AI

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    Persistent GPU cloud workspaces to build, train, and ship AI.

    A cloud platform built around AI Studios — collaborative, persistent GPU workspaces for coding, training models, running inference, and building agents and AI apps. Pay-as-you-go GPUs with a monthly free credit allowance, plus a Pro tier and bring-your-own-cloud for enterprise. Made by the team behind the open-source PyTorch Lightning framework.

    Pause/resume persistent GPU Studios
    Pay-as-you-go can add up
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