📖 The AI Tool Bible

Lambda vs Modal

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Lambda
Fine-tuning
Modal
Fine-tuning
TaglineOn-demand NVIDIA GPU cloud built specifically for training, fine-tuning, and serving large AI models.Serverless GPUs and infra for training & serving ML.
CategoryFine-tuningFine-tuning
PricingPaid· Pay-by-the-minute: A100 from $1.29/hr, H100 SXM from $3.99/hr, B200 from $6.69/hr; clusters priced by quoteFreemium· $30/mo free credits; pay-as-you-go GPU rates
Model—Infrastructure (any model you can host)
Editorial score—8.7 / 10
Use cases
llm-trainingfine-tuninggpu-rentalmodel-inferencedistributed-training
serverless GPUfine-tuningbatch inference
Pros
  • Substantially cheaper H100/A100/B200 hours than AWS, GCP or Azure
  • Per-minute billing with no egress fees
  • Pre-installed Lambda Stack means instances are training-ready in minutes
  • Offers both single on-demand GPUs and full multi-thousand-GPU clusters
  • SOC 2 Type II with single-tenant hardware isolation on clusters
  • Zero-ops GPU access
  • Python-native
  • Auto-scaling
  • Honest pay-per-second pricing
Cons
  • Popular GPUs (H100, B200) are frequently sold out
  • No managed fine-tuning-as-a-service API - you run your own training stack
  • Fewer managed services and regions than AWS/GCP/Azure
  • Cold start latency on big models
  • Bills can surprise at scale
Websitelambdalabs.commodal.com
Pick Lambda if
  • ✅ Substantially cheaper H100/A100/B200 hours than AWS, GCP or Azure
  • ✅ Per-minute billing with no egress fees
  • ✅ Pre-installed Lambda Stack means instances are training-ready in minutes
  • ✅ Offers both single on-demand GPUs and full multi-thousand-GPU clusters
Pick Modal if
  • ✅ Zero-ops GPU access
  • ✅ Python-native
  • ✅ Auto-scaling
  • ✅ Honest pay-per-second pricing
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