Hugging Face Inference Endpoints vs Nebius AI Cloud

Hugging Face Inference Endpoints

OAuth scopes separate reading endpoints from writing them, both OpenAPI documents are public, and the unauthenticated /v2/provider route lists every instance with its hourly price. An account needs a payment method and credits before the first deployment, no rate limits or SLA were found for the management API, and the docs price table disagrees with the live list in places.

Nebius AI Cloud

One API definition generates the REST and gRPC interfaces, the CLI, Terraform provider and three SDKs, with a 602-operation OpenAPI document, X-Idempotency-Key and role-scoped service accounts. The status page lists 14 major incidents between 14 July and 8 October 2026, no request rate limits were found, and signup needs a browser and a card.

Hugging Face Inference Endpoints

1. Call GET https://api.endpoints.huggingface.cloud/v2/provider first and pick an instance whose status is available. The docs table lists types the API marks deprecated or not available
2. Send X-Scale-Up-Timeout: 600 on requests to an endpoint that scales to zero, or handle 503 while the first replica starts
3. Set scaleToZeroTimeout yourself. The docs give a default of 1 hour and the OpenAPI document says 15 minutes
4. Pause or delete an endpoint when the job is done. Billing covers every minute a replica is initialising or running
5. Give the agent a fine-grained token or the read-endpoints scope unless it must deploy. Endpoints are private by default and take the same Hugging Face token as a bearer

Nebius AI Cloud

1. Use a service account with an authorised key, then exchange a five-minute RS256 JWT at https://auth.eu.nebius.com/oauth2/token/exchange for a 12-hour Bearer token
2. Send X-Idempotency-Key with a random UUID on every create, update and delete, since a 504 can follow a call that succeeded
3. Poll the returned operation (/ai/v1/endpoints/operations/{id}) until status is set; concurrent operations on one resource are not supported
4. Stop or delete endpoints when idle. A stopped endpoint bills nothing, a stopped Devlab or VM still bills for its disk
5. Check region support first. Serverless AI is absent from eu-south1 and us-north1, and each GPU platform exists in one to four regions
6. Run the beta nebius/mcp-server with safe mode on (the default); nebius_cli_execute can run any CLI command when SAFE_MODE=false