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Lambda vs Modal

A side-by-side comparison of Lambda and Modal, two Inference tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Lambda

Inference

GPU cloud for AI training — on-demand GPUs, 1-Click Clusters, and superclusters.

View Lambda

Modal

Inference

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

View Modal

At a glance

Feature comparison of Lambda and Modal
AttributeLambdaModal
CategoryInferenceInference
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)Web, APIAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)LambdaModal Labs
Capabilities (differs)
  • GPU compute
  • Sandboxed code execution
  • GPU compute
  • Model inference / serving
  • Fine-tuning / training
  • App / agent deployment

The honest brief

Lambda

1-Click Clusters give self-serve, contract-free access to multi-node B200/H100 training clusters that elsewhere require procurement cycles.

  • Single GPUs up to superclusters
  • Self-serve multi-node clusters
  • No long-term hyperscaler contracts
  • Deep NVIDIA collaboration
  • No free tier
  • In-demand GPUs can sell out
  • Fewer managed services than hyperscalers

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

When to pick which

Across the signals we compare, Lambda and Modal differ on pricing and platforms:

Pricing
PAID · FREEMIUM
Platforms
Web, API · API, CLI

Their capability lists differ in recorded depth — compare the full lists above before deciding.

Lambda detailsModal detailsAll Inference apps