Skip to content

Modal vs SkyPilot

A side-by-side comparison of Modal and SkyPilot, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Modal

Inference

Serverless GPUs. Run training, inference, batch jobs from Python.

View Modal

SkyPilot

Infra

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

View SkyPilot

At a glance

Feature comparison of Modal and SkyPilot
AttributeModalSkyPilot
Category (differs)InferenceInfra
Pricing (differs)FREEMIUMFREE
License (differs)ProprietaryOpen source
Deployment (differs)Cloud
Platforms (differs)API, CLICLI, API, Linux, macOS
Model supportModel-agnosticModel-agnostic
Vendor (differs)Modal LabsSkyPilot

The honest brief

Modal

Define GPU infra in Python decorators with 2-4s cold starts — no YAML, Dockerfiles, or managed-stack lock-in.

  • Python-decorator infra, no YAML/Dockerfiles
  • Scale-to-zero, pay only when running
  • Scales to hundreds of GPUs
  • Free monthly starter credits
  • SDK lock-in; migrating means rewriting
  • No managed vLLM/TensorRT setup
  • Costs climb under heavy usage
  • Billing hard to predict

SkyPilot

Declarative task-level orchestration that fails over across 20+ clouds and Kubernetes chasing the cheapest available GPUs.

  • 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