Background

Major cloud platforms have long offered new-user free trials, usually as a credit amount valid for 30 to 90 days. These credits aren't tokens themselves, but they can pay for managed LLM services in the cloud or rent GPUs to self-deploy open models, effectively yielding free tokens.

Steps

  1. Pick a target cloud: prefer platforms offering managed LLM APIs so credits convert directly into token calls.
  2. Register a new account and verify identity: most require phone or ID verification, and some require a payment method for verification.
  3. Confirm credits landed: check the Billing or Credits page for amount and expiration.
  4. Enable managed model services: activate the models you need from the cloud's AI marketplace. Billing is per token and draws down trial credits.
  5. Or self-deploy inference: rent a GPU instance and serve open models with vLLM or TGI, billed hourly against credits. Better for high-frequency calls.
  6. Set budget alerts: configure alerts and hard caps on the billing page to avoid auto-charges after the trial.

Caveats

  • Trial credits are usually new-user only, and the same verified identity typically qualifies once.
  • Self-deployment may have lower unit cost but requires ops skills, and GPU instances may be excluded from trial credits. Confirm first.
  • Some platforms exclude certain high-value services (like high-end GPUs) from trial credits. Read the terms.
  • Unused credits generally expire and don't roll over.
  • Services don't stop automatically when the trial ends. Always set caps.

When to use

  • Teams validating AI apps in a real cloud environment
  • Short bursts of high-concurrency testing (self-hosting wins)
  • Learning cloud AI deployment and ops

Summary

Cloud trial credits are valuable because they're fungible: you can buy tokens directly or buy compute to produce them. Which to choose depends on call frequency and ops capability.