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Head to head · Compute gpu · October 2026 research run

Cerebrium vs Nebius AI Cloud

Nebius AI Cloud scores 67.2 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments & pricing. Both do compute gpu.

CerebriumCerebrium Inc. · Model platform C55.3/100#593 of 841 Nebius AI CloudNebius · HTTP API B67.2/100#240 of 841

Which one, for what

Cerebrium C

Good for Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.

Ahead on

  • Payments & pricing, 30 against 20

Watch for

disable_auth defaults to true, so a deployed endpoint answers without a token unless the owner changes it

Nebius AI Cloud B

Good for Teams that want whole GPU VMs or InfiniBand clusters in Europe, the UK, Israel or the US with IAM, Terraform and an SLA, and are content to manage endpoint lifecycles themselves.

Ahead on

  • Reliability, 57 against 48
  • Schema & documentation, 78 against 70
  • Agent ergonomics, 77 against 49
  • Security & auth, 81 against 60
  • Maintenance & community, 82 against 75
  • Transparency & trust, 77 against 63

Also in its favour

  • Runs on your own machine

Watch for

Status page lists 14 incidents marked major between 14 July and 8 October 2026, including about 21 hours of partial degradation in us-central1 on 19 August

Score by category

CategoryWeight this runCerebriumNebius AI CloudEdge
Reliability16%204857Nebius AI Cloud +9
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27078Nebius AI Cloud +8
Agent ergonomics13%16.24977Nebius AI Cloud +28
Security & auth14%17.56081Nebius AI Cloud +21
Payments & pricing10%12.53020Cerebrium +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87582Nebius AI Cloud +7
Transparency & trust7%8.86377Nebius AI Cloud +14
Negative events≤1500
Total55.3 · C67.2 · B

Facts side by side

FactCerebriumNebius AI Cloud
KindModel platformHTTP API
VendorCerebrium Inc.Nebius
Hosted endpointhttps://rest.cerebrium.aihttps://api.nebius.cloud
TransportsHTTPHTTP, stdio
AuthAPI keyOAuth or key
PricingFreemiumPay per use
Price for compute gpunot published$1.35 per GPU-hour
x402nono
LicenceProprietary service under Cerebrium's terms of service. The CLI is MITProprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-162026-10-07
Terms last updatedno date given2026-09-28
Privacy policy last updatedno date given2026-09-23
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity920 PyPI/wk4.1k npm/wk, 469k PyPI/wk

Verdicts

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.

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.

Before you call either

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

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

Questions

Which is better for AI agents, Cerebrium or Nebius AI Cloud?

Nebius AI Cloud scores 67.2 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments & pricing.

Can an agent call Cerebrium and Nebius AI Cloud without installing anything?

Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Nebius AI Cloud at https://api.nebius.cloud.

Other comparisons with Cerebrium or Nebius AI Cloud

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