{ "data": { "a": { "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": 314, "ranked": true, "rankOf": 842, "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": "2026-10-09T10:42:45.525175216Z", "lastOk": true, "lastStatus": 200, "lastMs": 266, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 255, "p95ms24h": 295, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.huggingface.co", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:03.654181492Z" }, "updatedAt": "2026-10-09T10:42:45.525175216Z" } }, "answer": "Nebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability.", "b": { "slug": "nebius-ai-cloud", "name": "Nebius AI Cloud", "vendor": "Nebius", "vendorUrl": "https://nebius.com", "kind": "http-api", "category": "gpu-compute", "summary": "Nebius AI Cloud rents NVIDIA GPU virtual machines and InfiniBand clusters, with managed Kubernetes, Slurm and Serverless AI jobs and endpoints for containers. Resources are managed through REST and gRPC APIs, a CLI, a Terraform provider and SDKs.", "url": "https://www.anchorterminal.com/tools/nebius-ai-cloud", "markdownUrl": "https://www.anchorterminal.com/tools/nebius-ai-cloud.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nebius-ai-cloud.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nebius-ai-cloud.json", "repo": "https://github.com/nebius/api", "license": "Proprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT", "transports": [ "http", "stdio" ], "remoteUrl": "https://api.nebius.cloud", "packages": [ { "registry": "pypi", "name": "nebius" }, { "registry": "npm", "name": "@nebius/js-sdk" }, { "registry": "go", "name": "github.com/nebius/gosdk" } ], "auth": "mixed", "authNotes": "Self-serve. A person signs up in the web console with a Google, GitHub or Microsoft account. Every API call takes `Authorization: Bearer` with an access token valid for 12 hours. A user gets one from `nebius iam get-access-token`. A service account uploads an RSA public key (an authorised key, with optional expiry), signs a five-minute RS256 JWT and exchanges it at `https://auth.eu.nebius.com/oauth2/token/exchange`. Permissions come from group roles (`auditor`, `viewer`, `editor`, `admin` and service roles) granted on a tenant, project or resource. Serverless AI endpoints take their own token set in `spec.authToken`.", "pricing": "usage", "pricingNotes": "Pay as you go, billed by the second, with no free tier or trial found. On-demand per GPU-hour from 1 October 2026, B300 $9.50, B200 $8.50, H200 $5.40, H100 $4.50, RTX PRO 6000 $1.80, and L40S $1.35 plus vCPU and RAM. Preemptible GPUs are spot priced from $0.79. Serverless AI bills at Compute prices and a stopped endpoint bills nothing. Adding a card charges $25 to the balance. Commitment discounts go through sales (https://docs.nebius.com/compute/resources/pricing, https://nebius.com/prices).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI document or the price list (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 4137, "pypiWeekly": 468852, "asOf": "2026-10-08" }, "docsUrl": "https://docs.nebius.com/", "llmsTxt": "https://docs.nebius.com/llms.txt", "openapi": "https://api.nebius.cloud/openapi.json", "capabilities": [ "compute.gpu", "compute.endpoints", "compute.batch", "compute.containers" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "grpc", "terraform", "mcp", "python", "typescript", "go", "status-page", "soc2", "enterprise" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 67.2, "grade": "B", "agentReady": false, "rank": 240, "ranked": true, "rankOf": 842, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 82, "payments": 20, "reliability": 57, "schema": 78, "security": 81, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "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.", "bestFor": "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.", "strengths": [ "OpenAPI 3.0.3 document at `https://api.nebius.cloud/openapi.json` with 602 operations, generated from the same protobuf definitions as the gRPC API, CLI, Terraform provider and SDKs", "`X-Idempotency-Key` header for modifying calls, and a `retry_type` field on errors that says whether to retry the call", "Service accounts sign in with an uploaded RSA key and receive 12-hour tokens, with roles granted per tenant, project or resource", "Per-second billing with public prices, and a 99.5 per cent monthly uptime commitment per virtual machine", "llms.txt, every docs page as Markdown, and a keyless docs MCP server at `https://docs.nebius.com/mcp`" ], "weaknesses": [ "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", "No request rate limits with numbers and no Retry-After guidance found in the reviewed documentation", "Serverless AI endpoints run on one container VM that is started and stopped by hand; no autoscaling or scale to zero found", "No free tier or trial found. Adding a card at signup charges $25 to the balance, and signup is a browser flow through Google, GitHub or Microsoft", "The OpenAPI document has no examples, documents only 200 responses and reports its version as `version not set`" ], "agentNotes": [ "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", "Send `X-Idempotency-Key` with a random UUID on every create, update and delete, since a 504 can follow a call that succeeded", "Poll the returned operation (`/ai/v1/endpoints/operations/{id}`) until `status` is set; concurrent operations on one resource are not supported", "Stop or delete endpoints when idle. A stopped endpoint bills nothing, a stopped Devlab or VM still bills for its disk", "Check region support first. Serverless AI is absent from `eu-south1` and `us-north1`, and each GPU platform exists in one to four regions", "Run the beta `nebius/mcp-server` with safe mode on (the default); `nebius_cli_execute` can run any CLI command when `SAFE_MODE=false`" ], "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": 67.2 } ], "editorialScores": { "ergonomics": 77, "maintenance": 82, "payments": 20, "reliability": 57, "schema": 78, "security": 81, "transparency": 70 }, "provenanceScore": 83 }, "connect": { "install": "curl -sSL https://artifacts.nebius.cloud/cli/install.sh | bash", "http": "curl --request GET --url 'https://api.nebius.cloud/iam/v1/profiles' --header 'Authorization: Bearer \u003caccess_token\u003e'", "config": { "mcpServers": { "Nebius MCP Server": { "args": [ "--refresh-package", "nebius-mcp-server", "nebius-mcp-server@git+https://github.com/nebius/mcp-server@main" ], "command": "uvx", "env": {} } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/nebius-ai-cloud" }, "sameCompany": [ "nebius-token-factory-fine-tuning" ], "area": "models", "unitPrices": [ { "item": "NVIDIA H200 NVLink, on demand", "unit": "gpu-hour", "usd": 5.4, "note": "Billed per second. $4.50 before 1 October 2026" }, { "item": "NVIDIA H100 NVLink, on demand", "unit": "gpu-hour", "usd": 4.5, "note": "$3.85 before 1 October 2026" }, { "item": "NVIDIA B200 NVLink, on demand", "unit": "gpu-hour", "usd": 8.5 }, { "item": "NVIDIA B300 NVLink, on demand", "unit": "gpu-hour", "usd": 9.5 }, { "item": "NVIDIA RTX PRO 6000, on demand", "unit": "gpu-hour", "usd": 1.8 }, { "item": "NVIDIA L40S, GPU only", "unit": "gpu-hour", "usd": 1.35, "note": "vCPU ($0.01 to $0.012 an hour) and RAM ($0.0032 a GiB-hour) are billed separately" }, { "item": "NVIDIA H200 NVLink, preemptible", "unit": "gpu-hour", "usd": 0.79, "note": "Minimum spot price from 8 October 2026. The spot price can change every 15 minutes" }, { "item": "Network SSD disk", "unit": "gb-month", "usd": 0.071, "note": "Per GiB for 730 hours" } ], "provenance": { "legalEntity": "Nebius B.V.", "domain": "nebius.com", "domainRegistered": "2004-06-26", "endpointOnVendorDomain": false, "terms": "https://docs.nebius.com/legal/agreement", "privacy": "https://docs.nebius.com/legal/privacy", "statusPage": "https://status.nebius.com", "changelog": "https://docs.nebius.com/cli/release-notes", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The Services Agreement (published 15 September 2026, effective 28 September 2026) names Nebius B.V. under Dutch law for customers outside the United States and Israel, with other Nebius entities for those two countries. The separate Terms of Use page covers the website.", "The privacy policy (23 September 2026) gives Nebius B.V., Burgerweeshuispad 101, 1076ER Amsterdam, and says data processed for customers as a processor falls under the DPA at https://docs.nebius.com/legal/dpa.", "The API answers at api.nebius.cloud and tokens are exchanged at auth.eu.nebius.com. nebius.cloud is a second domain that Nebius's docs name for the API and the CLI installer.", "security.txt at nebius.com gives security@nebius.com and expires 2027-12-31. It has no Policy field.", "The changelog link is the CLI release notes, which are generated from the API. No separate API changelog was found.", "RDAP for nebius.com gives a registration date of 2004-06-26." ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/nebius-ai-cloud.json", "live": { "slug": "nebius-ai-cloud", "probe": { "target": "https://api.nebius.cloud", "method": "get", "lastAt": "2026-10-09T10:42:50.420638285Z", "lastOk": true, "lastStatus": 404, "lastMs": 228, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 164, "p95ms24h": 237, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.nebius.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:41:49.609986027Z" }, "updatedAt": "2026-10-09T10:42:50.420638285Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Hugging Face, Inc.", "b": "Nebius", "name": "Vendor" }, { "a": "https://api.endpoints.huggingface.cloud", "b": "https://api.nebius.cloud", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, stdio", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$1.35 per GPU-hour", "name": "Price for compute gpu" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0", "b": "Proprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT", "name": "Licence" }, { "a": "19", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-10-07", "name": "Last release" }, { "a": "2022-09-15", "b": "2026-09-28", "name": "Terms last updated" }, { "a": "2023-03-28", "b": "2026-09-23", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "60M PyPI/wk", "b": "4.1k npm/wk, 469k PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Nebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability.", "question": "Which is better for AI agents, Hugging Face Inference Endpoints or Nebius AI Cloud?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Hugging Face Inference Endpoints and Nebius AI Cloud need an API key?" }, { "answer": "Yes. Hugging Face Inference Endpoints has a hosted endpoint at https://api.endpoints.huggingface.cloud and Nebius AI Cloud at https://api.nebius.cloud.", "question": "Can an agent call Hugging Face Inference Endpoints and Nebius AI Cloud without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 63 against 57" ], "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" }, { "aheadOn": [ "Schema \u0026 documentation, 78 against 73", "Agent ergonomics, 77 against 62", "Transparency \u0026 trust, 77 against 68" ], "also": [ "Runs on your own machine" ], "goodFor": "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.", "slug": "nebius-ai-cloud", "watchFor": "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" } ], "job": { "capability": "compute.gpu", "name": "Compute gpu" }, "others": [ { "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/baseten-vs-nebius-ai-cloud.json", "title": "Baseten vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/baseten-vs-nebius-ai-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/beam-vs-nebius-ai-cloud.json", "title": "Beam vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/beam-vs-nebius-ai-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/cerebrium-vs-nebius-ai-cloud.json", "title": "Cerebrium vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-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/coreweave-vs-nebius-ai-cloud.json", "title": "CoreWeave vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/coreweave-vs-nebius-ai-cloud" }, { "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-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-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" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.json", "title": "Hyperbolic vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud.json", "title": "Koyeb vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud.json", "title": "Lambda Cloud vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud.json", "title": "Modal vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank.json", "title": "Nebius AI Cloud vs Northflank", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy.json", "title": "Nebius AI Cloud vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod.json", "title": "Nebius AI Cloud vs Runpod", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.json", "title": "Nebius AI Cloud vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-vast-ai.json", "title": "Nebius AI Cloud vs Vast.ai", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda.json", "title": "Nebius AI Cloud vs Verda", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda" } ], "scores": [ { "by": 6, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 63, "key": "reliability", "name": "Reliability", "nebius-ai-cloud": 57, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "edge": "nebius-ai-cloud", "hugging-face-inference-endpoints": 73, "key": "schema", "name": "Schema \u0026 documentation", "nebius-ai-cloud": 78, "weight": 13 }, { "by": 15, "edge": "nebius-ai-cloud", "hugging-face-inference-endpoints": 62, "key": "ergonomics", "name": "Agent ergonomics", "nebius-ai-cloud": 77, "weight": 13 }, { "by": 2, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 83, "key": "security", "name": "Security \u0026 auth", "nebius-ai-cloud": 81, "weight": 14 }, { "by": 0, "edge": "", "hugging-face-inference-endpoints": 20, "key": "payments", "name": "Payments \u0026 pricing", "nebius-ai-cloud": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "nebius-ai-cloud", "hugging-face-inference-endpoints": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "nebius-ai-cloud": 82, "weight": 7 }, { "by": 9, "edge": "nebius-ai-cloud", "hugging-face-inference-endpoints": 68, "key": "transparency", "name": "Transparency \u0026 trust", "nebius-ai-cloud": 77, "weight": 7 } ], "summary": "Nebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability. Both do compute gpu.", "verdicts": { "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud", "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.md", "slim": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.min.md" }, "markdown": "Nebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability. Both do compute gpu.\n\n- Hugging Face Inference Endpoints: grade B, 64.5/100, rank #314 of 842. 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- Nebius AI Cloud: grade B, 67.2/100, rank #240 of 842. Markdown https://www.anchorterminal.com/tools/nebius-ai-cloud.md · JSON https://www.anchorterminal.com/api/v1/tools/nebius-ai-cloud.json\n\n## Which one, for what\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- Reliability, 63 against 57\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### Nebius AI Cloud (B)\n\nGood 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.\n\nAhead on:\n- Schema \u0026 documentation, 78 against 73\n- Agent ergonomics, 77 against 62\n- Transparency \u0026 trust, 77 against 68\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch 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\n\n\n## Score by category\n\n| Category | Weight | Hugging Face Inference Endpoints | Nebius AI Cloud | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 63 | 57 | Hugging Face Inference Endpoints +6 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 73 | 78 | Nebius AI Cloud +5 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 77 | Nebius AI Cloud +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 83 | 81 | Hugging Face Inference Endpoints +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 82 | Nebius AI Cloud +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 77 | Nebius AI Cloud +9 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.5 · B** | **67.2 · B** | |\n\n## Facts side by side\n\n| Fact | Hugging Face Inference Endpoints | Nebius AI Cloud |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Hugging Face, Inc. | Nebius |\n| Hosted endpoint | `https://api.endpoints.huggingface.cloud` | `https://api.nebius.cloud` |\n| Transports | HTTP | HTTP, stdio |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| Price for compute gpu | not published | $1.35 per GPU-hour |\n| x402 | no | no |\n| Licence | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 | Proprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT |\n| Tools exposed | 19 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-10-07 |\n| Terms last updated | 2022-09-15 | 2026-09-28 |\n| Privacy policy last updated | 2023-03-28 | 2026-09-23 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 60M PyPI/wk | 4.1k npm/wk, 469k PyPI/wk |\n\n## Verdicts\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**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.\n\n## Before you call either\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### Nebius AI Cloud\n\n1. 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\n2. Send `X-Idempotency-Key` with a random UUID on every create, update and delete, since a 504 can follow a call that succeeded\n3. Poll the returned operation (`/ai/v1/endpoints/operations/{id}`) until `status` is set; concurrent operations on one resource are not supported\n4. Stop or delete endpoints when idle. A stopped endpoint bills nothing, a stopped Devlab or VM still bills for its disk\n5. Check region support first. Serverless AI is absent from `eu-south1` and `us-north1`, and each GPU platform exists in one to four regions\n6. Run the beta `nebius/mcp-server` with safe mode on (the default); `nebius_cli_execute` can run any CLI command when `SAFE_MODE=false`\n\n## Questions\n\n### Which is better for AI agents, Hugging Face Inference Endpoints or Nebius AI Cloud?\n\nNebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability.\n\n### Do Hugging Face Inference Endpoints and Nebius AI Cloud need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Hugging Face Inference Endpoints and Nebius AI Cloud without installing anything?\n\nYes. Hugging Face Inference Endpoints has a hosted endpoint at https://api.endpoints.huggingface.cloud and Nebius AI Cloud at https://api.nebius.cloud.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hugging-face-inference-endpoints\", \"b\": \"nebius-ai-cloud\"}`. From a terminal: `anchor compare hugging-face-inference-endpoints nebius-ai-cloud`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json and https://www.anchorterminal.com/api/v1/tools/nebius-ai-cloud.json\n\n## Other comparisons with Hugging Face Inference Endpoints or Nebius AI Cloud\n\n- [Baseten vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.md)\n- [Baseten vs Nebius AI Cloud](https://www.anchorterminal.com/compare/baseten-vs-nebius-ai-cloud.md)\n- [Beam vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.md)\n- [Beam vs Nebius AI Cloud](https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud.md)\n- [Cerebrium vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.md)\n- [Cerebrium vs Nebius AI Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud.md)\n- [CoreWeave vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.md)\n- [CoreWeave vs Nebius AI Cloud](https://www.anchorterminal.com/compare/coreweave-vs-nebius-ai-cloud.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 Modal](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.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- [Hyperbolic vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.md)\n- [Koyeb vs Nebius AI Cloud](https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud.md)\n- [Lambda Cloud vs Nebius AI Cloud](https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud.md)\n- [Modal vs Nebius AI Cloud](https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud.md)\n- [Nebius AI Cloud vs Northflank](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank.md)\n- [Nebius AI Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy.md)\n- [Nebius AI Cloud vs Runpod](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod.md)\n- [Nebius AI Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md)\n- [Nebius AI Cloud vs Vast.ai](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-vast-ai.md)\n- [Nebius AI Cloud vs Verda](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "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": "Hugging Face Inference Endpoints vs Nebius AI Cloud", "url": "" } ], "description": "Nebius AI Cloud scores 67.2 (B) on agent readiness against Hugging Face Inference Endpoints's 64.5 (B), and leads in 4 of 7 scored categories. Hugging Face Inference Endpoints leads on reliability. Both do compute gpu. Category scores, facts, verdicts and agent notes side by…", "facts": [ "Hugging Face Inference Endpoints B 64.5", "Nebius AI Cloud B 67.2", "scores" ], "h1": "Hugging Face Inference Endpoints vs Nebius AI Cloud", "image": "https://www.anchorterminal.com/assets/og/compare-hugging-face-inference-endpoints-vs-nebius-ai-cloud.png", "path": "/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud", "published": "2026-10-01", "section": "tools", "title": "Hugging Face Inference Endpoints vs Nebius AI Cloud for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud" }, "tokens": { "markdown": 3000, "slim": 730 }, "version": 1 }