Cerebrium vs Hyperbolic

Cerebrium

Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless disable_auth = false is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.

Hyperbolic

The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit.

Cerebrium

1. Set disable_auth = false in cerebrium.toml before deploying. The default leaves the endpoint callable by anyone with the URL
2. Authenticate headless with CEREBRIUM_SERVICE_ACCOUNT_TOKEN. cerebrium login opens a browser
3. Raise response_grace_period for long work. It defaults to 15 minutes and async runs stop at 12 hours
4. Send ?async=true to get a run_id with HTTP 202, and add webhookEndpoint because async calls return no result to the caller
5. Check the plan before choosing hardware. A100, H100, H200, B200 and RTX PRO 6000 need Standard, and protected compute bills at twice the listed rate

Hyperbolic

1. Read GET /v2/on-demand/rental-options first. It needs no key and lists what can be rented now, with costPerHourCents per GPU configuration.
2. Send rentalType and gpuCount to POST /v2/on-demand/rentals. Region defaults to us-central-1 and GPU type to h100, so set both from the options list.
3. List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly.
4. Save an SSH public key with POST /v2/ssh-keys before renting. Without sshPublicKeyIds the newest saved key is attached.
5. Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early.