{ "data": { "a": { "slug": "crusoe-cloud", "name": "Crusoe Cloud", "vendor": "Crusoe", "vendorUrl": "https://www.crusoe.ai", "kind": "http-api", "category": "gpu-compute", "summary": "Crusoe Cloud rents NVIDIA and AMD GPU virtual machines with managed Kubernetes and Slurm, and runs hosted model inference, dedicated deployments and LoRA fine-tuning. Resources are managed through a REST API, a CLI, a Terraform provider and a Go client.", "url": "https://www.anchorterminal.com/tools/crusoe-cloud", "markdownUrl": "https://www.anchorterminal.com/tools/crusoe-cloud.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/crusoe-cloud.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/crusoe-cloud.json", "repo": "https://github.com/crusoecloud/client-go", "license": "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", "transports": [ "http", "stdio" ], "remoteUrl": "https://api.cloud.crusoe.ai/v1", "packages": [ { "registry": "go", "name": "github.com/crusoecloud/client-go" }, { "registry": "npm", "name": "@crusoeai/cloud-mcp" } ], "auth": "api-key", "authNotes": "Self-serve. A person signs up in the console with Google, GitHub or an email code, then creates an access key ID and secret key under Security, with an optional alias and expiry. Each request carries `X-Crusoe-Timestamp` and `Authorization: Bearer 1.0:\u003caccess_key_id\u003e:\u003csignature\u003e`, where the signature is an HMAC-SHA256 of the path, sorted query string, verb and timestamp. Keys inherit the roles of the user who made them (`org-admin`, `org-editor`, `org-reader`, `project-editor`, `project-reader`). Managed AI uses separate Intelligence API keys sent as a Bearer token. Service accounts appear in the API description and the Terraform provider 1.6.0, with no docs page found.", "pricing": "usage", "pricingNotes": "Pay as you go, billed per second for on-demand VMs. Per GPU-hour, H200 $4.29, H100 $3.90, MI300X $3.45, A100 $2.00 to $2.30 and L40S $1.50. GB200, B200, MI355X and all spot prices are contact sales. Compute needs a non-prepaid credit card. $5 of introductory credits cover Serverless Inference and Fine-Tuning without a card. Ingress and egress are free (https://www.crusoe.ai/cloud/pricing).", "priceSummary": "$0.04 / vCPU-hr", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the API description or the pricing page (checked 2026-10-09).", "endpoints": [] }, "toolCount": 41, "popularity": { "githubStars": null, "npmWeekly": 7, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.crusoecloud.com/", "llmsTxt": "https://docs.crusoecloud.com/llms.txt", "openapi": "https://api.crusoecloud.com/v1/openapi.json", "capabilities": [ "compute.gpu", "compute.containers", "compute.batch", "compute.endpoints" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "mcp", "cli", "terraform", "go", "status-page", "soc2", "enterprise" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 63.4, "grade": "B", "agentReady": false, "rank": 396, "ranked": true, "rankOf": 950, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 45, "maintenance": 76, "payments": 30, "reliability": 66, "schema": 79, "security": 74, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "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.", "bestFor": "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.", "strengths": [ "Requests are signed with HMAC-SHA256 over the path, query, verb and timestamp, so the secret key never travels with a request.", "The API description is published for `/v1` and `/v1alpha5`, with 1,231 examples, and the docs serve `llms.txt` and a Markdown twin of each page.", "On-demand prices are public and billed per second. H100 is $3.90 and H200 $4.29 a GPU-hour, with no charge for ingress or egress.", "Organisation and project roles include read-only `org-reader` and `project-reader`, and the audit log keeps 90 days of control-plane actions readable through the API.", "The Terms of Service promise 90 days' notice before a service is discontinued or a customer-facing API changes in a backwards-incompatible way." ], "weaknesses": [ "No idempotency key or safe-retry guidance was found for create and delete calls, which return asynchronous operations to poll.", "No request rate limits were found for the infrastructure API. Numbers are published only for Serverless Inference.", "Spot prices and on-demand prices for GB200, B200 and MI355X are listed as contact sales, and provisioning compute needs a non-prepaid credit card.", "The status page shows a critical storage incident in eu-norway1 on 29 September 2026 (about 3 hours 54 minutes) and a 7.5-hour VM and cluster creation fault in us-east2 on 2 September.", "The Service Specific Terms let customers publish benchmark results only with Crusoe's written consent, and the Intelligence Foundry terms bar competitive analysis or benchmarking. Recorded as a fact, and it matters before any probe is run." ], "agentNotes": [ "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:\u003caccess_key_id\u003e:\u003csignature\u003e`.", "Use `https://api.cloud.crusoe.ai/v1`. Some docs pages and the MCP server still name `api.crusoecloud.com` and `/v1alpha5`.", "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.", "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.", "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." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.4 } ], "editorialScores": { "ergonomics": 45, "maintenance": 76, "payments": 30, "reliability": 66, "schema": 79, "security": 74, "transparency": 64 }, "provenanceScore": 90 }, "connect": { "install": "brew install crusoecloud/cli/crusoe", "http": "curl https://api.cloud.crusoe.ai/v1/capacities -H \"X-Crusoe-Timestamp: \u003cRFC3339 timestamp\u003e\" -H \"Authorization: Bearer \u003cversion:access_key_id:base64_encoded_signature\u003e\"", "claudeCode": "claude mcp add crusoe-cloud -- npx -y @crusoeai/cloud-mcp", "config": { "mcpServers": { "crusoe-cloud": { "args": [ "-y", "@crusoeai/cloud-mcp" ], "command": "npx" } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/crusoe-cloud" }, "area": "models", "unitPrices": [ { "item": "NVIDIA H100 80 GB HGX, on demand", "unit": "gpu-hour", "usd": 3.9, "note": "Billed per second while running. Spot is contact sales" }, { "item": "NVIDIA H200 141 GB HGX, on demand", "unit": "gpu-hour", "usd": 4.29 }, { "item": "NVIDIA A100 80 GB SXM, on demand", "unit": "gpu-hour", "usd": 2.3 }, { "item": "NVIDIA A100 80 GB PCIe, on demand", "unit": "gpu-hour", "usd": 2 }, { "item": "NVIDIA L40S 48 GB, on demand", "unit": "gpu-hour", "usd": 1.5 }, { "item": "AMD MI300X 192 GB, on demand", "unit": "gpu-hour", "usd": 3.45 }, { "item": "NVIDIA H100, Self-Serve Deployment", "unit": "gpu-hour", "usd": 5.5, "note": "Dedicated inference endpoint, billed until deleted. H200 $6.00, B200 $9.65, MI355X $7.40" }, { "item": "General-purpose CPU instance", "unit": "vcpu-hour", "usd": 0.04, "note": "Storage-optimised $0.09" }, { "item": "Persistent disk", "unit": "gb-month", "usd": 0.08, "note": "Per GiB. Shared disks $0.07, Object Storage $0.06" } ], "provenance": { "legalEntity": "Crusoe Technologies LLC", "domain": "crusoe.ai", "domainRegistered": "2019-01-28", "endpointOnVendorDomain": true, "terms": "https://legal.crusoe.ai/#terms-of-service", "privacy": "https://legal.crusoe.ai/#cloud-privacy-policy", "statusPage": "https://status.crusoecloud.com", "changelog": "https://docs.crusoecloud.com/updates", "securityTxt": "valid", "checked": "2026-10-09", "notes": [ "The Crusoe Cloud Platform Terms of Service, version 1.10, effective 10 August 2026, are a contract with Crusoe Technologies LLC and its affiliates. Ten earlier versions are kept on the same page.", "legal.crusoe.ai is one page that holds every legal document and its earlier versions, reached by anchor. The terms and privacy links point at the anchors for the platform terms and the Crusoe Cloud Platform Privacy Notice, not at the separate website terms and website privacy notice.", "The Crusoe Cloud Platform Privacy Notice, version 1.3, effective 12 March 2026, covers Service Data only. Customer Data falls under the Data Processing and Security Terms, version 1.3, effective 14 July 2026.", "The API reference gives `https://api.cloud.crusoe.ai/v1`, under the vendor domain. Other docs pages and the MCP server name `api.crusoecloud.com`, and Managed AI answers at `api.inference.crusoecloud.com` and `api.intelligence.crusoecloud.com`. crusoecloud.com was registered on 14 April 2020 per RDAP and redirects to www.crusoe.ai.", "security.txt at www.crusoe.ai gives security@crusoe.ai and expires on 1 March 2027. It has no Policy field.", "RDAP for crusoe.ai gives a registration date of 2019-01-28. The website footer reads Crusoe, Inc, and the licence files in the CLI and Go client repositories name Crusoe Energy Systems LLC." ], "score": 90 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/crusoe-cloud.json", "live": { "slug": "crusoe-cloud", "probe": { "target": "https://api.cloud.crusoe.ai/v1", "method": "get", "lastAt": "2026-10-10T03:53:24.770820028Z", "lastOk": true, "lastStatus": 200, "lastMs": 241, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 190, "p95ms24h": 304, "samples24h": 125, "samples30d": 125, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.crusoecloud.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T03:58:13.179768576Z" }, "versions": [ { "registry": "npm", "name": "@crusoeai/cloud-mcp", "version": "0.1.6", "seenAt": "2026-10-09T16:48:11.482960233Z" } ], "githubStars": 4, "npmWeekly": 7, "pages": [ { "url": "https://docs.crusoecloud.com/updates", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:05.621891732Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "49f564f8d6cc" }, { "url": "https://www.crusoe.ai/cloud/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:49:22.174984932Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c8964d1b8c97" }, { "url": "https://legal.crusoe.ai/", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:41:07.513334155Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "60dd879bf821" } ], "updatedAt": "2026-10-10T03:58:13.179768576Z" } }, "answer": "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 \u0026 documentation, payments \u0026 pricing and transparency \u0026 trust.", "b": { "slug": "hugging-face-inference-endpoints", "name": "Hugging Face Inference Endpoints", "vendor": "Hugging Face, Inc.", "vendorUrl": "https://huggingface.co", "kind": "http-api", "category": "gpu-compute", "summary": "Managed Hugging Face service that deploys a Hub model as a dedicated, autoscaling HTTPS endpoint on AWS, Azure or Google Cloud, using vLLM, TGI, SGLang, llama.cpp, TEI or a custom container. Managed by REST API, Python client, CLI or MCP.", "url": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints", "markdownUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json", "repo": "https://github.com/huggingface/hf-endpoints-documentation", "license": "Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://api.endpoints.huggingface.cloud", "packages": [ { "registry": "pypi", "name": "huggingface_hub" } ], "auth": "mixed", "authNotes": "Hugging Face access token sent as `Authorization: Bearer $HF_TOKEN` to the management API and to each endpoint. Tokens are created in the account settings in a browser and can be fine-grained, read or write. The MCP server uses OAuth through huggingface.co (authorisation code with PKCE, device code, dynamic client registration) with `read-endpoints` and `write-endpoints` scopes. `GET /v2/provider` and the catalogue list need no token. Access is self-serve, with quota requests for larger instances.", "pricing": "usage", "pricingNotes": "Usage priced by instance hour, billed per minute while a replica is initialising or running. GPUs run from $0.50 an hour (T4) to $10 (H100 on GCP), CPUs from $0.033. No free tier or trial was found. The docs require a payment method and credits before deploying, and the pricing page says an active subscription. Paused endpoints and endpoints at zero replicas aren't billed for compute (https://huggingface.co/docs/inference-endpoints/support/pricing).", "priceSummary": "$0.033 / vCPU-hr", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Inference Endpoints docs, the two OpenAPI documents or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": 19, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": 60014944, "asOf": "2026-10-08" }, "docsUrl": "https://huggingface.co/docs/inference-endpoints/index", "llmsTxt": "https://huggingface.co/docs/inference-endpoints/llms.txt", "openapi": "https://api.endpoints.huggingface.cloud/openapi.json", "capabilities": [ "compute.gpu", "compute.endpoints", "compute.containers" ], "tags": [ "hosted", "usage-priced", "python", "cli", "mcp", "oauth", "openapi", "llms-txt", "status-page", "soc2", "enterprise" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 64.5, "grade": "B", "agentReady": false, "rank": 349, "ranked": true, "rankOf": 950, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 62, "maintenance": 80, "payments": 20, "reliability": 63, "schema": 73, "security": 83, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "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.", "bestFor": "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.", "strengths": [ "Public OpenAPI 3.1 documents for the management API (46 operations) and the catalogue API (3), plus llms.txt and a Markdown twin of every docs page", "The MCP server at endpoints.huggingface.co/mcp uses OAuth with `read-endpoints` and `write-endpoints` scopes, PKCE and dynamic client registration", "`GET /v2/provider` needs no token and returns each instance type by cloud and region with status and price per hour", "The MCP `delete_endpoint` tool returns a preview and deletes only on a second call with `confirm: true`", "The Inference Endpoints API component on status.huggingface.co shows 100 per cent uptime over the 90 days to 8 October 2026" ], "weaknesses": [ "No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running", "No rate limits, SLA or idempotency keys were found for the management API, and its OpenAPI document lists only 200 responses on 43 of 46 operations", "The docs price table and the live provider list disagree. Inferentia2 x1 is $0.75 in the docs and $1.95 in the API, and AWS H200 is listed in the docs and marked deprecated in the API", "A start from zero replicas takes minutes by the docs' own account, and the proxy answers 503 until a replica is ready", "The Hub outage of 16 July 2026 took the Inference Endpoints UI down for 1 hour 37 minutes" ], "agentNotes": [ "Call `GET https://api.endpoints.huggingface.cloud/v2/provider` first and pick an instance whose `status` is `available`. The docs table lists types the API marks deprecated or not available", "Send `X-Scale-Up-Timeout: 600` on requests to an endpoint that scales to zero, or handle 503 while the first replica starts", "Set `scaleToZeroTimeout` yourself. The docs give a default of 1 hour and the OpenAPI document says 15 minutes", "Pause or delete an endpoint when the job is done. Billing covers every minute a replica is initialising or running", "Give the agent a fine-grained token or the `read-endpoints` scope unless it must deploy. Endpoints are private by default and take the same Hugging Face token as a bearer" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.5 } ], "editorialScores": { "ergonomics": 62, "maintenance": 80, "payments": 20, "reliability": 63, "schema": 73, "security": 83, "transparency": 68 }, "provenanceScore": 67 }, "connect": { "install": "pip install huggingface_hub", "http": "curl \"https://api.endpoints.huggingface.cloud/v2/endpoint/$NAMESPACE\" \\\n -H \"Authorization: Bearer $HF_TOKEN\"" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/hugging-face-inference-endpoints" }, "area": "models", "unitPrices": [ { "item": "NVIDIA T4 16 GB x1 (AWS, GCP)", "unit": "gpu-hour", "usd": 0.5, "note": "Billed per minute while initialising or running" }, { "item": "NVIDIA L4 24 GB x1 (AWS)", "unit": "gpu-hour", "usd": 0.8, "note": "$0.70 on GCP us-east4" }, { "item": "NVIDIA A10G 24 GB x1 (AWS)", "unit": "gpu-hour", "usd": 1, "note": "us-east-1 and eu-west-1" }, { "item": "NVIDIA L40S 48 GB x1 (AWS)", "unit": "gpu-hour", "usd": 1.8, "note": "us-east-1" }, { "item": "NVIDIA A100 80 GB x1 (AWS)", "unit": "gpu-hour", "usd": 2.5, "note": "$3.60 on GCP us-east4" }, { "item": "NVIDIA RTX PRO 6000 Blackwell 96 GB x1 (AWS)", "unit": "gpu-hour", "usd": 2.75, "note": "us-east-2, in the live provider list and absent from the docs table" }, { "item": "NVIDIA H200 141 GB x1 (GCP)", "unit": "gpu-hour", "usd": 5, "note": "us-south1. The AWS H200 in us-west-2 is marked deprecated in the API" }, { "item": "NVIDIA H100 80 GB x1 (GCP)", "unit": "gpu-hour", "usd": 10, "note": "us-east4. The AWS H100 at $4.50 is deprecated from December 2025" }, { "item": "Intel Sapphire Rapids x1, 1 vCPU and 2 GB (AWS)", "unit": "vcpu-hour", "usd": 0.033, "note": "$0.050 on GCP and $0.060 on Azure Intel Xeon" } ], "provenance": { "legalEntity": "Hugging Face, Inc.", "domain": "huggingface.co", "domainRegistered": "", "endpointOnVendorDomain": false, "terms": "https://huggingface.co/terms-of-service", "privacy": "https://huggingface.co/privacy", "statusPage": "https://status.huggingface.co", "changelog": "https://huggingface.co/changelog", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The Terms of Service (effective 15 September 2022) name Hugging Face, Inc., a Delaware corporation, list Inference Endpoints among the services they cover and are governed by New York law. They link Supplemental Terms (effective 28 April 2025) as a PDF, of which our reader extracted only the first page.", "The privacy policy (effective 28 March 2023) names Hugging Face, Inc. and its EU establishment Hugging Face, SAS, 9 rue des Colonnes, 75002 Paris, and lists 11 subprocessors with countries. The Inference Endpoints security page points to it.", "The management API answers at api.endpoints.huggingface.cloud and deployed endpoints at subdomains of endpoints.huggingface.cloud, a second domain of the vendor's. The catalogue API and the MCP server are on endpoints.huggingface.co.", "huggingface.co/.well-known/security.txt gives security@huggingface.co and expires on 1 July 2030. endpoints.huggingface.co/.well-known/security.txt returns 404.", "status.huggingface.co is a Better Stack page with separate components for the Inference Endpoints UI and API.", "The changelog at huggingface.co/changelog covers the whole Hub. Inference Endpoints has no changelog of its own. Dated changes are in the docs repository's commit history.", "rdap.org returned 404 for huggingface.co, so the registration date is unrecorded." ], "score": 67 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.json", "live": { "slug": "hugging-face-inference-endpoints", "probe": { "target": "https://api.endpoints.huggingface.cloud", "method": "get", "lastAt": "2026-10-10T03:53:30.316008072Z", "lastOk": true, "lastStatus": 200, "lastMs": 252, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 255, "p95ms24h": 321, "samples24h": 209, "samples30d": 209, "days": [ { "date": "2026-10-09", "probes": 169, "ok": 169 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.huggingface.co", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:41.53884912Z" }, "versions": [ { "registry": "pypi", "name": "huggingface_hub", "version": "2.2.0", "released": "2026-10-08", "seenAt": "2026-10-09T16:58:14.645195375Z" } ], "githubStars": 27, "pypiWeekly": 59965969, "securityTxt": { "url": "https://huggingface.co/.well-known/security.txt", "state": "valid", "expires": "2030-07-01T08:42:00.000Z", "checkedAt": "2026-10-09T15:39:14.256871095Z" }, "llmsTxt": { "url": "https://huggingface.co/docs/inference-endpoints/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:08.794740773Z" }, "pages": [ { "url": "https://huggingface.co/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:40:14.422489638Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "32d7960b5be2" }, { "url": "https://huggingface.co/docs/inference-endpoints/support/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:40:16.589495024Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c01bd565eb56" }, { "url": "https://huggingface.co/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:40:18.579985408Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b905cd71bf3c" }, { "url": "https://huggingface.co/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:40:20.536865147Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "53766473827f" } ], "updatedAt": "2026-10-10T03:53:30.316008072Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Crusoe", "b": "Hugging Face, Inc.", "name": "Vendor" }, { "a": "https://api.cloud.crusoe.ai/v1", "b": "https://api.endpoints.huggingface.cloud", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "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", "b": "Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0", "name": "Licence" }, { "a": "41", "b": "19", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-10-08", "name": "Last release" }, { "a": "couldn't be read", "b": "2022-09-15", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "2023-03-28", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "7 npm/wk", "b": "60M PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "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 \u0026 documentation, payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, Crusoe Cloud or Hugging Face Inference Endpoints?" }, { "answer": "Crusoe Cloud needs an API key. Hugging Face Inference Endpoints takes an API key or an OAuth sign-in.", "question": "Do Crusoe Cloud and Hugging Face Inference Endpoints need an API key?" }, { "answer": "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.", "question": "Can an agent call Crusoe Cloud and Hugging Face Inference Endpoints without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 79 against 73", "Payments \u0026 pricing, 30 against 20", "Transparency \u0026 trust, 77 against 68" ], "also": [ "Runs on your own machine" ], "goodFor": "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.", "slug": "crusoe-cloud", "watchFor": "No idempotency key or safe-retry guidance was found for create and delete calls, which return asynchronous operations to poll." }, { "aheadOn": [ "Agent ergonomics, 62 against 45", "Security \u0026 auth, 83 against 74" ], "also": null, "goodFor": "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.", "slug": "hugging-face-inference-endpoints", "watchFor": "No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running" } ], "job": { "capability": "compute.gpu", "name": "GPU compute" }, "others": [ { "json": "https://www.anchorterminal.com/compare/baseten-vs-crusoe-cloud.json", "title": "Baseten vs Crusoe Cloud", "url": "https://www.anchorterminal.com/compare/baseten-vs-crusoe-cloud" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.json", "title": "Baseten vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-crusoe-cloud.json", "title": "Beam vs Crusoe Cloud", "url": "https://www.anchorterminal.com/compare/beam-vs-crusoe-cloud" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.json", "title": "Beam vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-crusoe-cloud.json", "title": "Cerebrium vs Crusoe Cloud", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-crusoe-cloud" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.json", "title": "Cerebrium vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-crusoe-cloud.json", "title": "CoreWeave vs Crusoe Cloud", "url": "https://www.anchorterminal.com/compare/coreweave-vs-crusoe-cloud" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.json", "title": "CoreWeave vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-hyperbolic.json", "title": "Crusoe Cloud vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-koyeb.json", "title": "Crusoe Cloud vs Koyeb", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-lambda.json", "title": "Crusoe Cloud vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-massed-compute.json", "title": "Crusoe Cloud vs Massed Compute", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-massed-compute" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-modal.json", "title": "Crusoe Cloud vs Modal", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-nebius-ai-cloud.json", "title": "Crusoe Cloud vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-northflank.json", "title": "Crusoe Cloud vs Northflank", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-replicate-deploy.json", "title": "Crusoe Cloud vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-runpod.json", "title": "Crusoe Cloud vs Runpod", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-thunder-compute.json", "title": "Crusoe Cloud vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-vast-ai.json", "title": "Crusoe Cloud vs Vast.ai", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-verda.json", "title": "Crusoe Cloud vs Verda", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.json", "title": "Hugging Face Inference Endpoints vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb.json", "title": "Hugging Face Inference Endpoints vs Koyeb", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda.json", "title": "Hugging Face Inference Endpoints vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-massed-compute.json", "title": "Hugging Face Inference Endpoints vs Massed Compute", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-massed-compute" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.json", "title": "Hugging Face Inference Endpoints vs Modal", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.json", "title": "Hugging Face Inference Endpoints vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.json", "title": "Hugging Face Inference Endpoints vs Northflank", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy.json", "title": "Hugging Face Inference Endpoints vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod.json", "title": "Hugging Face Inference Endpoints vs Runpod", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.json", "title": "Hugging Face Inference Endpoints vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-vast-ai.json", "title": "Hugging Face Inference Endpoints vs Vast.ai", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda.json", "title": "Hugging Face Inference Endpoints vs Verda", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda" } ], "scores": [ { "by": 3, "crusoe-cloud": 66, "edge": "crusoe-cloud", "hugging-face-inference-endpoints": 63, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 6, "crusoe-cloud": 79, "edge": "crusoe-cloud", "hugging-face-inference-endpoints": 73, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 17, "crusoe-cloud": 45, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 62, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 9, "crusoe-cloud": 74, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 83, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "crusoe-cloud": 30, "edge": "crusoe-cloud", "hugging-face-inference-endpoints": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 4, "crusoe-cloud": 76, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 9, "crusoe-cloud": 77, "edge": "crusoe-cloud", "hugging-face-inference-endpoints": 68, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "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 \u0026 documentation, payments \u0026 pricing and transparency \u0026 trust. Both do gpu compute.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-hugging-face-inference-endpoints", "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-hugging-face-inference-endpoints.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-hugging-face-inference-endpoints.md", "slim": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-hugging-face-inference-endpoints.min.md" }, "markdown": "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 \u0026 documentation, payments \u0026 pricing and transparency \u0026 trust. Both do gpu compute.\n\n- 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\n- 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\n- Best GPU and serverless compute for AI workloads: https://www.anchorterminal.com/best/gpu-compute/index.md\n- All 167 gpu compute comparisons: https://www.anchorterminal.com/compare/gpu-compute/index.md\n\n## Which one, for what\n\n### Crusoe Cloud (B)\n\nGood 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.\n\nAhead on:\n- Schema \u0026 documentation, 79 against 73\n- Payments \u0026 pricing, 30 against 20\n- Transparency \u0026 trust, 77 against 68\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: No idempotency key or safe-retry guidance was found for create and delete calls, which return asynchronous operations to poll.\n\n### Hugging Face Inference Endpoints (B)\n\nGood 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.\n\nAhead on:\n- Agent ergonomics, 62 against 45\n- Security \u0026 auth, 83 against 74\n\nWatch for: No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running\n\n\n## Score by category\n\n| Category | Weight | Crusoe Cloud | Hugging Face Inference Endpoints | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 66 | 63 | Crusoe Cloud +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 73 | Crusoe Cloud +6 |\n| Agent ergonomics | 13% (16.2 this run) | 45 | 62 | Hugging Face Inference Endpoints +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 83 | Hugging Face Inference Endpoints +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Crusoe Cloud +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 76 | 80 | Hugging Face Inference Endpoints +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 68 | Crusoe Cloud +9 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.4 · B** | **64.5 · B** | |\n\n## Facts side by side\n\n| Fact | Crusoe Cloud | Hugging Face Inference Endpoints |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Crusoe | Hugging Face, Inc. |\n| Hosted endpoint | `https://api.cloud.crusoe.ai/v1` | `https://api.endpoints.huggingface.cloud` |\n| Transports | HTTP, stdio | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| 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 |\n| Tools exposed | 41 | 19 |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-10-08 |\n| Terms last updated | couldn't be read | 2022-09-15 |\n| Privacy policy last updated | couldn't be read | 2023-03-28 |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | not found in the text |\n| Terms or service can change without notice | couldn't be read | yes |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | 7 npm/wk | 60M PyPI/wk |\n\n## Verdicts\n\n**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.\n\n**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.\n\n## Before you call either\n\n### Crusoe Cloud\n\n1. 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:\u003caccess_key_id\u003e:\u003csignature\u003e`.\n2. Use `https://api.cloud.crusoe.ai/v1`. Some docs pages and the MCP server still name `api.crusoecloud.com` and `/v1alpha5`.\n3. 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.\n4. 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.\n5. 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.\n\n### Hugging Face Inference Endpoints\n\n1. 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\n2. Send `X-Scale-Up-Timeout: 600` on requests to an endpoint that scales to zero, or handle 503 while the first replica starts\n3. Set `scaleToZeroTimeout` yourself. The docs give a default of 1 hour and the OpenAPI document says 15 minutes\n4. Pause or delete an endpoint when the job is done. Billing covers every minute a replica is initialising or running\n5. 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\n\n## Questions\n\n### Which is better for AI agents, Crusoe Cloud or Hugging Face Inference Endpoints?\n\nHugging 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 \u0026 documentation, payments \u0026 pricing and transparency \u0026 trust.\n\n### Do Crusoe Cloud and Hugging Face Inference Endpoints need an API key?\n\nCrusoe Cloud needs an API key. Hugging Face Inference Endpoints takes an API key or an OAuth sign-in.\n\n### Can an agent call Crusoe Cloud and Hugging Face Inference Endpoints without installing anything?\n\nYes. Crusoe Cloud has a hosted endpoint at https://api.cloud.crusoe.ai/v1 and Hugging Face Inference Endpoints at https://api.endpoints.huggingface.cloud.\n\n\n## For agents\n\n- 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\n- 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`\n- 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\n\n## Other comparisons with Crusoe Cloud or Hugging Face Inference Endpoints\n\n- [Baseten vs Crusoe Cloud](https://www.anchorterminal.com/compare/baseten-vs-crusoe-cloud.md)\n- [Baseten vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.md)\n- [Beam vs Crusoe Cloud](https://www.anchorterminal.com/compare/beam-vs-crusoe-cloud.md)\n- [Beam vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.md)\n- [Cerebrium vs Crusoe Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-crusoe-cloud.md)\n- [Cerebrium vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.md)\n- [CoreWeave vs Crusoe Cloud](https://www.anchorterminal.com/compare/coreweave-vs-crusoe-cloud.md)\n- [CoreWeave vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.md)\n- [Crusoe Cloud vs Hyperbolic](https://www.anchorterminal.com/compare/crusoe-cloud-vs-hyperbolic.md)\n- [Crusoe Cloud vs Koyeb](https://www.anchorterminal.com/compare/crusoe-cloud-vs-koyeb.md)\n- [Crusoe Cloud vs Lambda Cloud](https://www.anchorterminal.com/compare/crusoe-cloud-vs-lambda.md)\n- [Crusoe Cloud vs Massed Compute](https://www.anchorterminal.com/compare/crusoe-cloud-vs-massed-compute.md)\n- [Crusoe Cloud vs Modal](https://www.anchorterminal.com/compare/crusoe-cloud-vs-modal.md)\n- [Crusoe Cloud vs Nebius AI Cloud](https://www.anchorterminal.com/compare/crusoe-cloud-vs-nebius-ai-cloud.md)\n- [Crusoe Cloud vs Northflank](https://www.anchorterminal.com/compare/crusoe-cloud-vs-northflank.md)\n- [Crusoe Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/crusoe-cloud-vs-replicate-deploy.md)\n- [Crusoe Cloud vs Runpod](https://www.anchorterminal.com/compare/crusoe-cloud-vs-runpod.md)\n- [Crusoe Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/crusoe-cloud-vs-thunder-compute.md)\n- [Crusoe Cloud vs Vast.ai](https://www.anchorterminal.com/compare/crusoe-cloud-vs-vast-ai.md)\n- [Crusoe Cloud vs Verda](https://www.anchorterminal.com/compare/crusoe-cloud-vs-verda.md)\n- [Hugging Face Inference Endpoints vs Hyperbolic](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.md)\n- [Hugging Face Inference Endpoints vs Koyeb](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb.md)\n- [Hugging Face Inference Endpoints vs Lambda Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda.md)\n- [Hugging Face Inference Endpoints vs Massed Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-massed-compute.md)\n- [Hugging Face Inference Endpoints vs Modal](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.md)\n- [Hugging Face Inference Endpoints vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.md)\n- [Hugging Face Inference Endpoints vs Northflank](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.md)\n- [Hugging Face Inference Endpoints vs Replicate Deployments](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy.md)\n- [Hugging Face Inference Endpoints vs Runpod](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod.md)\n- [Hugging Face Inference Endpoints vs Thunder Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md)\n- [Hugging Face Inference Endpoints vs Vast.ai](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-vast-ai.md)\n- [Hugging Face Inference Endpoints vs Verda](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Crusoe Cloud vs Hugging Face Inference Endpoints", "url": "" } ], "description": "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.", "facts": [ "Crusoe Cloud B 63.4", "Hugging Face Inference Endpoints B 64.5", "scores" ], "h1": "Crusoe Cloud vs Hugging Face Inference Endpoints", "image": "https://www.anchorterminal.com/assets/og/compare-crusoe-cloud-vs-hugging-face-inference-endpoints.png", "path": "/compare/crusoe-cloud-vs-hugging-face-inference-endpoints", "published": "2026-10-01", "section": "tools", "title": "Crusoe Cloud vs Hugging Face Inference Endpoints for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-hugging-face-inference-endpoints" }, "tokens": { "markdown": 3200, "slim": 830 }, "version": 1 }