# Crusoe Cloud vs Hugging Face Inference Endpoints

> Hugging Face Inference Endpoints scores 64.5 (B) to Crusoe Cloud's 63.4 (B) for gpu compute. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/crusoe-cloud-vs-hugging-face-inference-endpoints
- Markdown: https://www.anchorterminal.com/compare/crusoe-cloud-vs-hugging-face-inference-endpoints.md (~3,200 tokens)
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- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Crusoe Cloud's 63.4 (B), and leads in 3 of 7 scored categories. Crusoe Cloud leads on schema & documentation, payments & pricing and transparency & trust. Both do gpu compute.

- Crusoe Cloud: grade B, 63.4/100, rank #396 of 950. Markdown https://www.anchorterminal.com/tools/crusoe-cloud.md · JSON https://www.anchorterminal.com/api/v1/tools/crusoe-cloud.json
- Hugging Face Inference Endpoints: grade B, 64.5/100, rank #349 of 950. Markdown https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.md · JSON https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json
- Best GPU and serverless compute for AI workloads: https://www.anchorterminal.com/best/gpu-compute/index.md
- All 167 gpu compute comparisons: https://www.anchorterminal.com/compare/gpu-compute/index.md

## Which one, for what

### Crusoe Cloud (B)

Good for: Teams that want whole GPU machines or clusters with managed Kubernetes or Slurm in the US, Iceland or Norway, under an SLA, and are content to manage lifecycles themselves.

Ahead on:
- Schema & documentation, 79 against 73
- Payments & pricing, 30 against 20
- Transparency & trust, 77 against 68

Also in its favour:
- Runs on your own machine

Watch for: No idempotency key or safe-retry guidance was found for create and delete calls, which return asynchronous operations to poll.

### Hugging Face Inference Endpoints (B)

Good for: Teams whose models already live on the Hugging Face Hub and who want a dedicated endpoint on a named cloud and region with standard open-source engines.

Ahead on:
- Agent ergonomics, 62 against 45
- Security & auth, 83 against 74

Watch for: No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running


## Score by category

| Category | Weight | Crusoe Cloud | Hugging Face Inference Endpoints | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 66 | 63 | Crusoe Cloud +3 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 79 | 73 | Crusoe Cloud +6 |
| Agent ergonomics | 13% (16.2 this run) | 45 | 62 | Hugging Face Inference Endpoints +17 |
| Security & auth | 14% (17.5 this run) | 74 | 83 | Hugging Face Inference Endpoints +9 |
| Payments & pricing | 10% (12.5 this run) | 30 | 20 | Crusoe Cloud +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 76 | 80 | Hugging Face Inference Endpoints +4 |
| Transparency & trust | 7% (8.8 this run) | 77 | 68 | Crusoe Cloud +9 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **63.4 · B** | **64.5 · B** | |

## Facts side by side

| Fact | Crusoe Cloud | Hugging Face Inference Endpoints |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Crusoe | Hugging Face, Inc. |
| Hosted endpoint | `https://api.cloud.crusoe.ai/v1` | `https://api.endpoints.huggingface.cloud` |
| Transports | HTTP, stdio | HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Proprietary service under the Crusoe Cloud Platform Terms of Service. The Go client and the MCP server package are MIT. The CLI ships as binaries, and no licence file was found in the Terraform provider repository | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 |
| Tools exposed | 41 | 19 |
| Read-only variant documented | yes | no |
| llms.txt | yes | yes |
| Last release | 2026-10-08 | 2026-10-08 |
| Terms last updated | couldn't be read | 2022-09-15 |
| Privacy policy last updated | couldn't be read | 2023-03-28 |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | not found in the text |
| Terms or service can change without notice | couldn't be read | yes |
| Arbitration or class-action waiver | couldn't be read | not found in the text |
| Popularity | 7 npm/wk | 60M PyPI/wk |

## Verdicts

**Crusoe Cloud.** The v1 REST API has a published OpenAPI description, Markdown docs, HMAC-signed keys, reader roles and a 90-day audit log, with on-demand GPU prices public. No idempotency keys or control-plane rate limits were found, spot and B200 prices go through sales, and a storage outage in eu-norway1 lasted about four hours on 29 September 2026.

**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.

## Before you call either

### Crusoe Cloud

1. Sign every request. Build the payload from path, sorted query string, verb and `X-Crusoe-Timestamp`, HMAC-SHA256 it with the base64url-decoded secret, and send `Authorization: Bearer 1.0:<access_key_id>:<signature>`.
2. Use `https://api.cloud.crusoe.ai/v1`. Some docs pages and the MCP server still name `api.crusoecloud.com` and `/v1alpha5`.
3. Creates, updates and deletes return an operation. Poll the matching operations endpoint for `state`, and list existing resources by name before retrying a create, because no idempotency key was found.
4. Managed AI uses separate Intelligence API keys and hosts, `api.inference.crusoecloud.com` for OpenAI-compatible calls and `api.intelligence.crusoecloud.com` for files and fine-tuning jobs.
5. Delete a VM and its disks to stop charges. A stopped on-demand VM is not billed for compute, but its 128 GB OS disk still bills at $0.08 a GiB-month.

### 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

## Questions

### Which is better for AI agents, Crusoe Cloud or Hugging Face Inference Endpoints?

Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Crusoe Cloud's 63.4 (B), and leads in 3 of 7 scored categories. Crusoe Cloud leads on schema & documentation, payments & pricing and transparency & trust.

### Do Crusoe Cloud and Hugging Face Inference Endpoints need an API key?

Crusoe Cloud needs an API key. Hugging Face Inference Endpoints takes an API key or an OAuth sign-in.

### Can an agent call Crusoe Cloud and Hugging Face Inference Endpoints without installing anything?

Yes. Crusoe Cloud has a hosted endpoint at https://api.cloud.crusoe.ai/v1 and Hugging Face Inference Endpoints at https://api.endpoints.huggingface.cloud.


## For agents

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

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