{ "data": { "a": { "slug": "coreweave", "name": "CoreWeave", "vendor": "CoreWeave, Inc.", "vendorUrl": "https://www.coreweave.com", "kind": "http-api", "category": "gpu-compute", "summary": "CoreWeave is a GPU cloud that rents NVIDIA GPU nodes through a managed Kubernetes service (CKS), with REST and gRPC platform APIs, a Terraform provider and a hosted MCP server for observability.", "url": "https://www.anchorterminal.com/tools/coreweave", "markdownUrl": "https://www.anchorterminal.com/tools/coreweave.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/coreweave.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/coreweave.json", "repo": "https://github.com/coreweave/terraform-provider-coreweave", "license": "Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT", "transports": [ "http" ], "remoteUrl": "https://api.coreweave.com", "packages": [], "auth": "pat", "authNotes": "Access starts with sales approval. CoreWeave's sales team approves an organisation and emails an activation link, then a user with the Access Token User role creates an API access token at console.coreweave.com/tokens with a name and an expiry. The token is user-scoped, shown once, revocable in the console and sent as `Authorization: Bearer` to api.coreweave.com, to a CKS cluster's Kubernetes API (through a kubeconfig) and to the Mission Control MCP server. What it can do follows the user's IAM roles, which include a Viewer and an Admin role per service. CKS workloads can also use OIDC workload identity federation. Serverless Inference takes a separate Forge API key.", "pricing": "usage", "pricingNotes": "Per instance-hour, published without a login. On demand in North America, HGX H100 (8 GPUs) $49.24, HGX H200 $50.44, HGX B200 $68.80, A100 $21.60, L40S $18.00, L40 $10.00, GB200 NVL72 (4 GPUs) $42.00 and GH200 (1 GPU) $6.50, with spot rates on most. GB300 NVL72 and HGX B300 on demand are quoted by sales. Reserved capacity is discounted by up to 60 per cent through sales. AI Object Storage is $0.06 a GB-month hot, $0.03 warm and $0.015 cold, distributed file storage $0.07, and egress, VPC and the CKS control plane are free. No free tier or self-serve trial was found, and the terms treat any trial as part of the sales-run ARENA programme (https://www.coreweave.com/pricing, https://docs.coreweave.com/policies/terms-of-service).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the API references or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": 38, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.coreweave.com/", "llmsTxt": "https://docs.coreweave.com/llms.txt", "openapi": "https://docs.coreweave.com/products/cks/reference/cks-api", "capabilities": [ "compute.gpu", "compute.containers", "compute.endpoints", "compute.batch" ], "tags": [ "hosted", "usage-priced", "enterprise", "sales-led", "mcp", "openapi", "llms-txt", "terraform", "status-page", "soc2" ], "lastRelease": "2026-10-02", "graded": true, "anchor": { "graded": true, "score": 61.5, "grade": "C", "agentReady": false, "rank": 421, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 50, "schema": 79, "security": 74, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.", "bestFor": "Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.", "strengths": [ "On-demand and spot prices per instance-hour are public, for example HGX H100 at $49.24 on demand and $19.71 spot for 8 GPUs", "Docs are served as Markdown with an llms.txt index, and OpenAPI 3.0 specs for CKS, VPC, storage and inference are embedded in the reference pages", "IAM has Viewer and Admin roles per service, API tokens carry an expiry, and Kubernetes audit logs can be forwarded with Telemetry Relay", "Terms carry a service level objective of 99.9 per cent across multiple regions and 99 per cent in one, with financial credits", "Dated changelog with 18 entries between 10 July and 2 October 2026, and a Terraform provider tagged v0.24.0 on 11 September 2026" ], "weaknesses": [ "No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created", "No request rate limits, 429 guidance or idempotency keys found for api.coreweave.com in the reviewed documentation", "The CKS API is versioned v1beta1 and the Node Pool resource and Dedicated Inference API v1alpha1", "Three incidents between 26 September and 6 October 2026, including a US-CENTRAL-09A network outage of over two hours on 5 October", "The MCP tool `coreweave_kubectl_apply` ignores its `dry_run` parameter and applies the manifest, per the tool reference" ], "agentNotes": [ "Create an API access token at console.coreweave.com/tokens with an expiry and send it as `Authorization: Bearer` to https://api.coreweave.com", "Add GPUs by applying a NodePool resource (`compute.coreweave.com/v1alpha1`) to a CKS cluster with `instanceType` and `targetNodes`. `instanceType` can't be changed afterwards", "Set `targetNodes` to 0 or delete the Node Pool when a job ends. Nodes are whole 8-GPU machines billed by the hour", "Never pass `dry_run` to the MCP tool `coreweave_kubectl_apply` expecting a preview. The reference says the parameter is ignored and the manifest is applied", "Use a separate Forge API key and https://api.inference.wandb.ai/v1 for Serverless Inference. A CoreWeave API access token doesn't work there" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.5 } ], "editorialScores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 50, "schema": 79, "security": 74, "transparency": 71 }, "provenanceScore": 83 }, "connect": { "http": "curl \"https://api.coreweave.com/v1beta1/cks/clusters\" -H \"Authorization: Bearer $COREWEAVE_API_TOKEN\"", "claudeCode": "claude mcp add --transport http mission-control https://mc.coreweave.com/mcp --header \"Authorization: Bearer [YOUR-COREWEAVE-API-TOKEN]\"", "config": { "mcpServers": { "mission-control": { "headers": { "Authorization": "Bearer [YOUR-COREWEAVE-API-TOKEN]" }, "url": "https://mc.coreweave.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/coreweave" }, "area": "models", "unitPrices": [ { "item": "HGX H100 80 GB", "unit": "gpu-hour", "usd": 6.16, "note": "Published single-GPU rate. Sold as an 8-GPU node at $49.24 an hour on demand, $19.71 spot" }, { "item": "HGX H200 141 GB", "unit": "gpu-hour", "usd": 6.31, "note": "8-GPU node at $50.44 an hour on demand, $20.93 spot" }, { "item": "HGX B200 180 GB", "unit": "gpu-hour", "usd": 8.6, "note": "8-GPU node at $68.80 an hour on demand, $34.11 spot" }, { "item": "GB200 NVL72 186 GB", "unit": "gpu-hour", "usd": 10.5, "note": "4-GPU instance at $42.00 an hour on demand" }, { "item": "A100 80 GB", "unit": "gpu-hour", "usd": 2.7, "note": "8-GPU node at $21.60 an hour on demand, $9.65 spot" }, { "item": "L40S 48 GB", "unit": "gpu-hour", "usd": 2.25, "note": "8-GPU node at $18.00 an hour on demand, $7.88 spot" }, { "item": "AI Object Storage, hot tier", "unit": "gb-month", "usd": 0.06, "note": "Warm $0.03, cold $0.015. No egress fee" } ], "provenance": { "legalEntity": "CoreWeave, Inc.", "domain": "coreweave.com", "domainRegistered": "2019-04-01", "endpointOnVendorDomain": true, "terms": "https://docs.coreweave.com/policies/terms-of-service", "privacy": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "statusPage": "https://status.coreweave.com", "changelog": "https://docs.coreweave.com/release-notes/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Terms of Service on docs.coreweave.com govern the CoreWeave Cloud Platform and were last modified on 30 June 2022. They are under New York law. The separate Terms of Use page covers the websites only.", "The privacy policy names CoreWeave, Inc. and its affiliates and was last updated on 24 February 2026.", "www.coreweave.com/.well-known/security.txt and coreweave.com/.well-known/security.txt return 404. A vulnerability disclosure policy is published in the docs.", "The APIs run on api.coreweave.com and mc.coreweave.com. Serverless Inference runs on api.inference.wandb.ai.", "coreweave.com was registered on 2019-04-01 per Verisign RDAP." ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/coreweave.json", "live": { "slug": "coreweave", "probe": { "target": "https://api.coreweave.com", "method": "get", "lastAt": "2026-10-09T11:46:25.91787449Z", "lastOk": true, "lastStatus": 404, "lastMs": 115, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 124, "p95ms24h": 202, "samples24h": 195, "samples30d": 195, "days": [ { "date": "2026-10-08", "probes": 70, "ok": 70 }, { "date": "2026-10-09", "probes": 125, "ok": 125 } ] }, "vendorStatus": { "page": "https://status.coreweave.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:46.397856514Z" }, "pages": [ { "url": "https://docs.coreweave.com/release-notes/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:18:37.275927892Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "526831cd5f7a" }, { "url": "https://www.coreweave.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:27:14.115245132Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b92d2fed4434" }, { "url": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:18:35.381020121Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "92c4d55f1382" }, { "url": "https://docs.coreweave.com/policies/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:18:32.98309125Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6f16ddc8984a" } ], "updatedAt": "2026-10-09T11:46:25.91787449Z" } }, "answer": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against CoreWeave's 61.5 (C), and leads in 3 of 7 scored categories. CoreWeave leads on schema \u0026 documentation 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": 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": "2026-10-09T11:46:30.653783864Z", "lastOk": true, "lastStatus": 200, "lastMs": 257, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 255, "p95ms24h": 300, "samples24h": 44, "samples30d": 44, "days": [ { "date": "2026-10-09", "probes": 44, "ok": 44 } ] }, "vendorStatus": { "page": "https://status.huggingface.co", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:03.654181492Z" }, "updatedAt": "2026-10-09T11:46:30.653783864Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "CoreWeave, Inc.", "b": "Hugging Face, Inc.", "name": "Vendor" }, { "a": "https://api.coreweave.com", "b": "https://api.endpoints.huggingface.cloud", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "Token", "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 CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT", "b": "Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0", "name": "Licence" }, { "a": "38", "b": "19", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-02", "b": "2026-10-08", "name": "Last release" }, { "a": "2022-06-30", "b": "2022-09-15", "name": "Terms last updated" }, { "a": "2026-02-24", "b": "2023-03-28", "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": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "60M PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against CoreWeave's 61.5 (C), and leads in 3 of 7 scored categories. CoreWeave leads on schema \u0026 documentation and transparency \u0026 trust.", "question": "Which is better for AI agents, CoreWeave or Hugging Face Inference Endpoints?" }, { "answer": "CoreWeave needs an access token. Hugging Face Inference Endpoints takes an API key or an OAuth sign-in.", "question": "Do CoreWeave and Hugging Face Inference Endpoints need an API key?" }, { "answer": "Yes. CoreWeave has a hosted endpoint at https://api.coreweave.com and Hugging Face Inference Endpoints at https://api.endpoints.huggingface.cloud.", "question": "Can an agent call CoreWeave and Hugging Face Inference Endpoints without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 79 against 73", "Transparency \u0026 trust, 77 against 68" ], "also": null, "goodFor": "Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.", "slug": "coreweave", "watchFor": "No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created" }, { "aheadOn": [ "Reliability, 63 against 50", "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": "Compute gpu" }, "others": [ { "json": "https://www.anchorterminal.com/compare/baseten-vs-coreweave.json", "title": "Baseten vs CoreWeave", "url": "https://www.anchorterminal.com/compare/baseten-vs-coreweave" }, { "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-coreweave.json", "title": "Beam vs CoreWeave", "url": "https://www.anchorterminal.com/compare/beam-vs-coreweave" }, { "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-coreweave.json", "title": "Cerebrium vs CoreWeave", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-coreweave" }, { "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-hyperbolic.json", "title": "CoreWeave vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-koyeb.json", "title": "CoreWeave vs Koyeb", "url": "https://www.anchorterminal.com/compare/coreweave-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-lambda.json", "title": "CoreWeave vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/coreweave-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-modal.json", "title": "CoreWeave vs Modal", "url": "https://www.anchorterminal.com/compare/coreweave-vs-modal" }, { "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/coreweave-vs-northflank.json", "title": "CoreWeave vs Northflank", "url": "https://www.anchorterminal.com/compare/coreweave-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.json", "title": "CoreWeave vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-runpod.json", "title": "CoreWeave vs Runpod", "url": "https://www.anchorterminal.com/compare/coreweave-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.json", "title": "CoreWeave vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-vast-ai.json", "title": "CoreWeave vs Vast.ai", "url": "https://www.anchorterminal.com/compare/coreweave-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-verda.json", "title": "CoreWeave vs Verda", "url": "https://www.anchorterminal.com/compare/coreweave-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-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": 13, "coreweave": 50, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 63, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 6, "coreweave": 79, "edge": "coreweave", "hugging-face-inference-endpoints": 73, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 4, "coreweave": 58, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 62, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 9, "coreweave": 74, "edge": "hugging-face-inference-endpoints", "hugging-face-inference-endpoints": 83, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "coreweave": 20, "edge": "", "hugging-face-inference-endpoints": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 0, "coreweave": 80, "edge": "", "hugging-face-inference-endpoints": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 9, "coreweave": 77, "edge": "coreweave", "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 CoreWeave's 61.5 (C), and leads in 3 of 7 scored categories. CoreWeave leads on schema \u0026 documentation and transparency \u0026 trust. Both do compute gpu.", "verdicts": { "coreweave": "Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.", "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/coreweave-vs-hugging-face-inference-endpoints", "json": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.md", "slim": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.min.md" }, "markdown": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against CoreWeave's 61.5 (C), and leads in 3 of 7 scored categories. CoreWeave leads on schema \u0026 documentation and transparency \u0026 trust. Both do compute gpu.\n\n- CoreWeave: grade C, 61.5/100, rank #421 of 842. Markdown https://www.anchorterminal.com/tools/coreweave.md · JSON https://www.anchorterminal.com/api/v1/tools/coreweave.json\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\n## Which one, for what\n\n### CoreWeave (C)\n\nGood for: Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.\n\nAhead on:\n- Schema \u0026 documentation, 79 against 73\n- Transparency \u0026 trust, 77 against 68\n\nWatch for: No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created\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 50\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 | CoreWeave | Hugging Face Inference Endpoints | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 63 | Hugging Face Inference Endpoints +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 73 | CoreWeave +6 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 62 | Hugging Face Inference Endpoints +4 |\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) | 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 | 80 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 68 | CoreWeave +9 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **61.5 · C** | **64.5 · B** | |\n\n## Facts side by side\n\n| Fact | CoreWeave | Hugging Face Inference Endpoints |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | CoreWeave, Inc. | Hugging Face, Inc. |\n| Hosted endpoint | `https://api.coreweave.com` | `https://api.endpoints.huggingface.cloud` |\n| Transports | HTTP | HTTP |\n| Auth | Token | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 |\n| Tools exposed | 38 | 19 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-10-08 |\n| Terms last updated | 2022-06-30 | 2022-09-15 |\n| Privacy policy last updated | 2026-02-24 | 2023-03-28 |\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 | not found in the text |\n| Terms or service can change without notice | yes | yes |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | none | 60M PyPI/wk |\n\n## Verdicts\n\n**CoreWeave.** Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.\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### CoreWeave\n\n1. Create an API access token at console.coreweave.com/tokens with an expiry and send it as `Authorization: Bearer` to https://api.coreweave.com\n2. Add GPUs by applying a NodePool resource (`compute.coreweave.com/v1alpha1`) to a CKS cluster with `instanceType` and `targetNodes`. `instanceType` can't be changed afterwards\n3. Set `targetNodes` to 0 or delete the Node Pool when a job ends. Nodes are whole 8-GPU machines billed by the hour\n4. Never pass `dry_run` to the MCP tool `coreweave_kubectl_apply` expecting a preview. The reference says the parameter is ignored and the manifest is applied\n5. Use a separate Forge API key and https://api.inference.wandb.ai/v1 for Serverless Inference. A CoreWeave API access token doesn't work there\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, CoreWeave or Hugging Face Inference Endpoints?\n\nHugging Face Inference Endpoints scores 64.5 (B) on agent readiness against CoreWeave's 61.5 (C), and leads in 3 of 7 scored categories. CoreWeave leads on schema \u0026 documentation and transparency \u0026 trust.\n\n### Do CoreWeave and Hugging Face Inference Endpoints need an API key?\n\nCoreWeave needs an access token. Hugging Face Inference Endpoints takes an API key or an OAuth sign-in.\n\n### Can an agent call CoreWeave and Hugging Face Inference Endpoints without installing anything?\n\nYes. CoreWeave has a hosted endpoint at https://api.coreweave.com 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/coreweave-vs-hugging-face-inference-endpoints.json, and with the fewest tokens: https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"coreweave\", \"b\": \"hugging-face-inference-endpoints\"}`. From a terminal: `anchor compare coreweave hugging-face-inference-endpoints`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/coreweave.json and https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json\n\n## Other comparisons with CoreWeave or Hugging Face Inference Endpoints\n\n- [Baseten vs CoreWeave](https://www.anchorterminal.com/compare/baseten-vs-coreweave.md)\n- [Baseten vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.md)\n- [Beam vs CoreWeave](https://www.anchorterminal.com/compare/beam-vs-coreweave.md)\n- [Beam vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.md)\n- [Cerebrium vs CoreWeave](https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.md)\n- [Cerebrium vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.md)\n- [CoreWeave vs Hyperbolic](https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.md)\n- [CoreWeave vs Koyeb](https://www.anchorterminal.com/compare/coreweave-vs-koyeb.md)\n- [CoreWeave vs Lambda Cloud](https://www.anchorterminal.com/compare/coreweave-vs-lambda.md)\n- [CoreWeave vs Modal](https://www.anchorterminal.com/compare/coreweave-vs-modal.md)\n- [CoreWeave vs Nebius AI Cloud](https://www.anchorterminal.com/compare/coreweave-vs-nebius-ai-cloud.md)\n- [CoreWeave vs Northflank](https://www.anchorterminal.com/compare/coreweave-vs-northflank.md)\n- [CoreWeave vs Replicate Deployments](https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.md)\n- [CoreWeave vs Runpod](https://www.anchorterminal.com/compare/coreweave-vs-runpod.md)\n- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md)\n- [CoreWeave vs Vast.ai](https://www.anchorterminal.com/compare/coreweave-vs-vast-ai.md)\n- [CoreWeave vs Verda](https://www.anchorterminal.com/compare/coreweave-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 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": "2026-10-09", "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": "CoreWeave vs Hugging Face Inference Endpoints", "url": "" } ], "description": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against CoreWeave's 61.5 (C), and leads in 3 of 7 scored categories. CoreWeave leads on schema \u0026 documentation and transparency \u0026 trust. Both do compute gpu. Category scores, facts, verdicts and agent notes side…", "facts": [ "CoreWeave C 61.5", "Hugging Face Inference Endpoints B 64.5", "scores" ], "h1": "CoreWeave vs Hugging Face Inference Endpoints", "image": "https://www.anchorterminal.com/assets/og/compare-coreweave-vs-hugging-face-inference-endpoints.png", "path": "/compare/coreweave-vs-hugging-face-inference-endpoints", "published": "2026-10-01", "section": "tools", "title": "CoreWeave vs Hugging Face Inference Endpoints for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints" }, "tokens": { "markdown": 2850, "slim": 630 }, "version": 1 }