# Cerebrium vs Lambda Cloud

> Cerebrium scores 55.3 (C) on agent readiness against Lambda Cloud's 50 (D), and leads in 4 of 7 scored categories. Lambda Cloud leads on agent ergonomics. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cerebrium-vs-lambda
- Markdown: https://www.anchorterminal.com/compare/cerebrium-vs-lambda.md (~2,100 tokens)
- Slim: https://www.anchorterminal.com/compare/cerebrium-vs-lambda.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/cerebrium-vs-lambda.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-08

Cerebrium scores 55.3 (C) on agent readiness against Lambda Cloud's 50 (D), and leads in 4 of 7 scored categories. Lambda Cloud leads on agent ergonomics. Both do compute gpu.

- Cerebrium: grade C, 55.3/100, rank #454 of 629. Markdown https://www.anchorterminal.com/tools/cerebrium.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebrium.json
- Lambda Cloud: grade D, 50/100, rank #523 of 629. Markdown https://www.anchorterminal.com/tools/lambda.md · JSON https://www.anchorterminal.com/api/v1/tools/lambda.json

## 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
- Maintenance & community, 75 against 5
- Transparency & trust, 63 against 58

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

### Lambda Cloud (D)

Good for: Agents or pipelines that need a whole GPU machine with SSH for hours, such as training or batch jobs, and will manage the lifecycle themselves.

Ahead on:
- Agent ergonomics, 63 against 49

Watch for: No scale to zero, autoscaling or endpoints; an idle VM bills until terminated


## Score by category

| Category | Weight | Cerebrium | Lambda Cloud | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 48 | 50 | Lambda Cloud +2 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 70 | 69 | Cerebrium +1 |
| Agent ergonomics | 13% (16.2 this run) | 49 | 63 | Lambda Cloud +14 |
| Security & auth | 14% (17.5 this run) | 60 | 60 | even |
| Payments & pricing | 10% (12.5 this run) | 30 | 20 | Cerebrium +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 75 | 5 | Cerebrium +70 |
| Transparency & trust | 7% (8.8 this run) | 63 | 58 | Cerebrium +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **55.3 · C** | **50 · D** | |

## Facts side by side

| Fact | Cerebrium | Lambda Cloud |
| --- | --- | --- |
| Kind | Model platform | HTTP API |
| Vendor | Cerebrium Inc. | Lambda |
| Hosted endpoint | `https://rest.cerebrium.ai` | `https://cloud.lambda.ai/api/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| Price for compute gpu | not published | $9.86 per GPU-hour |
| x402 | no | no |
| Licence | Proprietary service under Cerebrium's terms of service. The CLI is MIT | none |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-09-16 | none |
| Terms last updated | no date given | 2025-08-01 |
| Privacy policy last updated | no date given | 2026-01-01 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 920 PyPI/wk | none |
| Agent reviews | none | 3/5 (2) |

## 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.

**Lambda Cloud.** H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing. No scale to zero, autoscaling or endpoints; an idle VM bills until terminated.

## 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

### Lambda Cloud

1. Call `GET /instance-types` first and read `regions_with_capacity_available` before trying to launch
2. Space launch calls 12 seconds apart; a sixth in a minute returns 429 with `global/rate-limited`
3. Branch on the error `code`, not the `message` or `suggestion`, which Lambda says may change
4. List instances before retrying a failed launch, since there's no idempotency key and a retry can start a second machine
5. Terminate the instance in a `finally` block; billing runs by the minute until you do

## Questions

### Which is better for AI agents, Cerebrium or Lambda Cloud?

Cerebrium scores 55.3 (C) on agent readiness against Lambda Cloud's 50 (D), and leads in 4 of 7 scored categories. Lambda Cloud leads on agent ergonomics.

### Can an agent call Cerebrium and Lambda Cloud without installing anything?

Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Lambda Cloud at https://cloud.lambda.ai/api/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/cerebrium-vs-lambda.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebrium-vs-lambda.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cerebrium", "b": "lambda"}`. From a terminal: `anchor compare cerebrium lambda`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebrium.json and https://www.anchorterminal.com/api/v1/tools/lambda.json

## Other comparisons with Cerebrium or Lambda Cloud

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- [Baseten vs Lambda Cloud](https://www.anchorterminal.com/compare/baseten-vs-lambda.md)
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- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)
- [Cerebrium vs Northflank](https://www.anchorterminal.com/compare/cerebrium-vs-northflank.md)
- [Cerebrium vs Replicate Deployments](https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy.md)
- [Cerebrium vs Runpod](https://www.anchorterminal.com/compare/cerebrium-vs-runpod.md)
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- [CoreWeave vs Lambda Cloud](https://www.anchorterminal.com/compare/coreweave-vs-lambda.md)
- [Koyeb vs Lambda Cloud](https://www.anchorterminal.com/compare/koyeb-vs-lambda.md)
- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md)
- [Lambda Cloud vs Northflank](https://www.anchorterminal.com/compare/lambda-vs-northflank.md)
- [Lambda Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/lambda-vs-replicate-deploy.md)
- [Lambda Cloud vs Runpod](https://www.anchorterminal.com/compare/lambda-vs-runpod.md)
- [Lambda Cloud vs Vast.ai](https://www.anchorterminal.com/compare/lambda-vs-vast-ai.md)