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Catalogmodels-api

Lambda

situationalSteady momentum

Cloud GPU instances and API inference for training and deploying AI models.

Visit lambda.ai →Add to kitOpen in Noemium

ledger entry · observed by @whysanesanders

Reliable GPU cloud with competitive pricing for training and inference. Good for teams that need dedicated hardware without hyperscaler complexity. The API product is newer and less mature than compute instances.

Strengths

  • Reliable GPU cloud with competitive pricing for training and inference.
  • Dedicated hardware without hyperscaler complexity and lock-in.

Known limitations

  • API service is newer than the GPU cloud.
  • Support and tooling lag AWS/GCP.
  • Pricing for reserved capacity requires planning.

Use it when

  • Teams that need dedicated GPU instances for training or inference.
  • Workloads where predictable hardware beats serverless token pricing.

Skip it when

  • You need a mature managed API rather than raw compute instances.
  • Your team lacks the capacity to plan reserved capacity and ops.
  • AWS/GCP-level support and tooling are non-negotiable.

Buy-check

  • ·Price — paid, pay-as-you-go GPU and API pricing as of 2026-08-19. Open the pricing page, not a screenshot.
  • ·Free tier — No free tier — the trial clock starts at checkout.
  • ·Cancel fallout — What happens to your data/projects on cancel — check the ToS, not the FAQ.
  • ·Seat math — Per-seat pricing multiplies quietly. Count seats before the annual plan.
  • ·Who skips it — Also skipped when: You need a mature managed API rather than raw compute instances.; Your team lacks the capacity to plan reserved capacity and ops..

Price trailchangelog →

No price move in this repo yet.

Facts

pricing
paid1
price note
pay-as-you-go GPU and API pricing
free tier
no
open source
no
api
yes
self-host
no
category
models-api
evidence
source-verified

Sources

  1. 1lambda.ai[snapshot]
  2. 2lambda.ai/pricing[snapshot]

No source, no number.

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