AIArsenal/Compare/Lightning AI vs Modal

Lightning AI vs Modal

Side-by-side comparison of free tiers, features, privacy, and company background. Updated for 2026.

Lightning AI

~35 hrs/month T4 + 24/7 CPU studio + 100GB storage

Lightning AI Studios provide a full cloud IDE with 35 hours of T4 GPU per month, a 24/7 CPU workspace, and 100GB persistent storage. Built by the PyTorch Lightning team, it offers a more complete development environment than notebooks alone. Ideal for developers who want a persistent cloud workspace with GPU access.

QUICK START

Sign up at lightning.ai → Launch a new Studio (CPU runs 24/7 for free) → Switch to GPU when you need T4 compute for training or inference

Try Lightning AI →View full listing →

Modal

Serverless GPU — $30/month ongoing credits, T4–H100

Modal is a serverless GPU platform with sub-second cold starts and $30/month in ongoing free credits, covering everything from T4 to H100 GPUs. You write Python functions and Modal handles containers, scaling, and GPU allocation automatically. Perfect for production AI workloads, batch jobs, and API endpoints.

QUICK START

Sign up at modal.com to get $30/month free credits → Install with 'pip install modal' and authenticate → Deploy a GPU function with the @modal.gpu decorator

Try Modal →View full listing →
SIDE-BY-SIDE

Feature comparison

Lightning AIModal
FREE TIER~35 hrs/month T4; 100GB storage$30/month free; T4–H100
COMPANYLightning AIModal Labs
OPEN SOURCENoNo
PRIVACYPyTorch Lightning teamSub-second cold starts
CATEGORYInfrastructureInfrastructure
SUBCATEGORYFree Compute & GPUsFree Compute & GPUs
DECISION GUIDE

Which should you pick?

Pick Lightning AI if…
  • ▸Developers needing a persistent cloud IDE with free T4 GPU for ML projects.
  • ▸PyTorch users seeking a robust, free cloud development environment and storage.
  • ▸Those who prefer a full IDE over notebooks for their machine learning workflow.
Skip it if…
  • ✕Users who only need simple, ephemeral Jupyter notebooks for quick tests.
  • ✕Teams requiring advanced collaboration or extensive enterprise-level features.
Pick Modal if…
  • ▸Python developers deploying AI models, APIs, or batch jobs without ops overhead.
  • ▸Teams needing serverless T4–H100 GPUs with sub-second cold starts on a budget.
  • ▸Researchers or startups prototyping and scaling production AI workloads easily.
Skip it if…
  • ✕Users requiring deep control over GPU hardware, OS, or container environments.
  • ✕Projects outside the Python ecosystem or needing a fully open-source stack.
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