{ "data": { "a": { "slug": "cerebrium", "name": "Cerebrium", "vendor": "Cerebrium Inc.", "vendorUrl": "https://www.cerebrium.ai", "kind": "platform", "category": "gpu-compute", "summary": "Cerebrium is a serverless platform for running your own models and code on GPUs and CPUs. A CLI packages code into containers served as REST, streaming and WebSocket endpoints, managed through a REST API.", "url": "https://www.anchorterminal.com/tools/cerebrium", "markdownUrl": "https://www.anchorterminal.com/tools/cerebrium.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cerebrium.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cerebrium.json", "repo": "https://github.com/CerebriumAI/cerebrium", "license": "Proprietary service under Cerebrium's terms of service. The CLI is MIT", "transports": [ "http" ], "remoteUrl": "https://rest.cerebrium.ai", "packages": [ { "registry": "pypi", "name": "cerebrium" } ], "auth": "api-key", "authNotes": "Two credentials. A service account token, created in the dashboard or over the API with an expiry of up to one year and a list of granted projects, authenticates the CLI (`CEREBRIUM_SERVICE_ACCOUNT_TOKEN`) and the management API at rest.cerebrium.ai as `Authorization: Bearer`. A project API key (a JWT) authenticates calls to deployed endpoints, and only when `cerebrium.toml` sets `disable_auth = false`. Signup and `cerebrium login` are browser flows.", "pricing": "freemium", "pricingNotes": "Hobby plan is $0 a month plus compute, Standard $100 a month plus compute, Enterprise on request. GPU, CPU and memory bill per second, from T4 at $0.000164 a second ($0.59 an hour) to H100 at $0.000944 ($3.40) and B200 at $0.00167 ($6.01). CPU $0.00000655 a vCPU-second, memory $0.00000222 a GB-second, storage $0.05 a GB-month after 100 GB free. Listed rates are for the default interruptible tier, and `protected` compute costs twice as much. Cold-start time is free, builds and model initialisation are billed. An account can start on Hobby without a contract. The pricing page does not say whether a card is needed or state a free compute allowance (https://www.cerebrium.ai/pricing, https://cerebrium.ai/docs/calculating-cost).", "priceSummary": "$0.0236 / vCPU-hr", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI spec or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": 920, "asOf": "2026-10-08" }, "docsUrl": "https://cerebrium.ai/docs", "llmsTxt": "https://cerebrium.ai/docs/llms.txt", "openapi": "https://s3.eu-west-1.amazonaws.com/www.cerebrium.ai/openapi_spec.json", "capabilities": [ "compute.gpu", "compute.serverless", "compute.endpoints", "compute.batch", "compute.containers" ], "tags": [ "hosted", "freemium", "serverless", "gpu", "cli", "openapi", "llms-txt", "python", "async-jobs", "multi-region", "status-page", "soc2", "hipaa" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 55.3, "grade": "C", "agentReady": false, "rank": 593, "ranked": true, "rankOf": 842, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 49, "maintenance": 75, "payments": 30, "reliability": 48, "schema": 70, "security": 60, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless `disable_auth = false` is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.", "bestFor": "Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.", "strengths": [ "Per-second prices for ten GPU types published without a login, from T4 at $0.59 an hour to B200 at $6.01", "Public OpenAPI 3.0 spec for the management API at rest.cerebrium.ai, with 94 operations, plus llms.txt and Markdown docs", "Service account tokens carry an expiry of up to one year and a list of 1 to 50 granted projects", "Audit log of 22 actions with actor, IP address and outcome, readable over the API on Standard and Enterprise", "Status page with 11 components and 90 days of incident history, and five CLI releases between 7 August and 16 September 2026" ], "weaknesses": [ "`disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it", "No request rate limits, 429 guidance, idempotency keys or SLA found in the reviewed documentation", "Several multi-hour degradations of the Inference API between 15 July and 2 September 2026, and a 10-minute outage on 21 July", "No deprecation policy, platform changelog or public subprocessor list found", "The CLI stores tokens in plaintext in `~/.cerebrium/config.yaml` with mode 0644, per its own SECURITY.md" ], "agentNotes": [ "Set `disable_auth = false` in `cerebrium.toml` before deploying. The default leaves the endpoint callable by anyone with the URL", "Authenticate headless with `CEREBRIUM_SERVICE_ACCOUNT_TOKEN`. `cerebrium login` opens a browser", "Raise `response_grace_period` for long work. It defaults to 15 minutes and async runs stop at 12 hours", "Send `?async=true` to get a `run_id` with HTTP 202, and add `webhookEndpoint` because async calls return no result to the caller", "Check the plan before choosing hardware. A100, H100, H200, B200 and RTX PRO 6000 need Standard, and `protected` compute bills at twice the listed rate" ], "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": 55.3 } ], "editorialScores": { "ergonomics": 49, "maintenance": 75, "payments": 30, "reliability": 48, "schema": 70, "security": 60, "transparency": 45 }, "provenanceScore": 80 }, "connect": { "install": "pip install cerebrium \u0026\u0026 cerebrium login", "http": "curl --location --request POST 'https://api.cerebrium.ai/v4/p-xxxxxxxx/{app-name}/{function}' \\\n --header 'Authorization: Bearer \u003cJWT_TOKEN\u003e' \\\n --header 'Content-Type: application/json' \\\n --data '{\"function_param\": \"data\"}'" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/cerebrium" }, "area": "models", "unitPrices": [ { "item": "B200 180 GB", "unit": "gpu-hour", "usd": 6.01, "note": "$0.00167 a second, interruptible tier" }, { "item": "H200 141 GB", "unit": "gpu-hour", "usd": 4.2, "note": "$0.001166 a second, interruptible tier" }, { "item": "H100 80 GB", "unit": "gpu-hour", "usd": 3.4, "note": "$0.000944 a second, interruptible tier" }, { "item": "RTX PRO 6000 96 GB", "unit": "gpu-hour", "usd": 2.5, "note": "$0.000694 a second, interruptible tier" }, { "item": "A100 80 GB", "unit": "gpu-hour", "usd": 2.1, "note": "$0.000583 a second, interruptible tier" }, { "item": "A100 40 GB", "unit": "gpu-hour", "usd": 2, "note": "$0.000555 a second, interruptible tier" }, { "item": "L40s 48 GB", "unit": "gpu-hour", "usd": 1.95, "note": "$0.000542 a second, interruptible tier" }, { "item": "A10 24 GB", "unit": "gpu-hour", "usd": 1.1, "note": "$0.000306 a second, interruptible tier" }, { "item": "L4 24 GB", "unit": "gpu-hour", "usd": 0.8, "note": "$0.000222 a second, interruptible tier" }, { "item": "T4 16 GB", "unit": "gpu-hour", "usd": 0.59, "note": "$0.000164 a second, interruptible tier" }, { "item": "CPU-only compute", "unit": "vcpu-hour", "usd": 0.0236, "note": "$0.00000655 a vCPU-second, memory extra at $0.00000222 a GB-second" }, { "item": "Persistent storage", "unit": "gb-month", "usd": 0.05, "note": "First 100 GB free" }, { "item": "Standard plan", "unit": "month", "usd": 100, "note": "Plus compute" } ], "provenance": { "legalEntity": "Cerebrium Inc.", "domain": "cerebrium.ai", "domainRegistered": "2021-06-11", "endpointOnVendorDomain": true, "terms": "https://www.cerebrium.ai/terms-of-service", "privacy": "https://www.cerebrium.ai/privacy", "statusPage": "https://status.cerebrium.ai", "changelog": "https://github.com/CerebriumAI/cerebrium/releases", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms of service name Cerebrium Inc and say they are governed by the laws of the United Kingdom. The privacy policy names Cerebrium Inc. as data controller at 251 Little Falls Drive, Wilmington, Delaware.", "The terms of service are the only terms Cerebrium publishes. They cover accounts, subscriptions and the Service, and the OpenAPI spec names them as the API's licence. Neither document states a date.", "Deployed endpoints answer at api.cerebrium.ai and the management API at rest.cerebrium.ai. The OpenAPI file is served from an AWS S3 bucket.", "cerebrium.ai/.well-known/security.txt and cerebrium.ai/security.txt returned 404 on 8 October 2026. The CLI repository's SECURITY.md and the docs give security@cerebrium.ai.", "The changelog link is the CLI's GitHub releases. No platform changelog was found. Domain registration date from RDAP." ], "score": 80 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cerebrium.json", "live": { "slug": "cerebrium", "probe": { "target": "https://rest.cerebrium.ai", "method": "get", "lastAt": "2026-10-09T10:42:39.32547788Z", "lastOk": true, "lastStatus": 403, "lastMs": 254, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 252, "p95ms24h": 274, "samples24h": 184, "samples30d": 184, "days": [ { "date": "2026-10-08", "probes": 70, "ok": 70 }, { "date": "2026-10-09", "probes": 114, "ok": 114 } ] }, "vendorStatus": { "page": "https://status.cerebrium.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:41.246107011Z" }, "pages": [ { "url": "https://www.cerebrium.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:26:57.20274404Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "be1ada48db42" }, { "url": "https://www.cerebrium.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:26:59.281048683Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "017a8d228768" }, { "url": "https://www.cerebrium.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:27:01.554163635Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a99804810a11" } ], "updatedAt": "2026-10-09T10:42:39.32547788Z" } }, "answer": "Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and agent ergonomics.", "b": { "slug": "hyperbolic", "name": "Hyperbolic", "vendor": "Hyperbolic Labs, Inc.", "vendorUrl": "https://www.hyperbolic.ai", "kind": "http-api", "category": "gpu-compute", "summary": "Hyperbolic is a GPU cloud from Hyperbolic Labs that rents H100, H200 and B200 virtual machines and bare-metal nodes by the hour, with reserved terms and private clusters. Agents use its REST API with an API key.", "url": "https://www.anchorterminal.com/tools/hyperbolic", "markdownUrl": "https://www.anchorterminal.com/tools/hyperbolic.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hyperbolic.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hyperbolic.json", "license": "Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT", "transports": [ "http" ], "remoteUrl": "https://api.hyperbolic.ai", "packages": [], "auth": "api-key", "authNotes": "Self-serve. A signed-in user creates an API key in the console's settings, and the secret is shown once. Requests send it as `Authorization: Bearer \u003capi-key\u003e`. An account can hold any number of keys and revoke any of them. Keys created inside an Organisation belong to it and are attributed to the member who made them. Members revoke their own keys and admins revoke any. No scopes, read-only keys or expiry were found in the reviewed documentation. `GET /v2/openapi.json`, `GET /v2/on-demand/rental-options` and `GET /v2/on-demand/reserve-options` need no key.", "pricing": "usage", "pricingNotes": "Prepaid credits, minimum purchase $5 through Stripe, 1 to 1 with dollars and with no expiry. A new account is on the free tier and cannot rent GPUs or storage until it has deposited $5 once. No trial was found, apart from credit codes handed out at events. On-demand rentals bill hourly from the moment an instance is ready, and the balance must cover one hour of all running instances. On 8 October 2026 the open price list showed one H100 virtual machine at $3.19 an hour. Reserved terms of 7, 14 and 30 days take 1, 3 and 5 per cent off and are paid up front. Private Cloud is by contract (https://www.hyperbolic.ai/docs/on-demand/pricing).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs corpus or the OpenAPI document for the GPU API. The archived HyperbolicLabs/hyperbolic-x402 repository covered chat completions on a separate host, not GPU rentals (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://www.hyperbolic.ai/docs/overview/overview", "llmsTxt": "https://www.hyperbolic.ai/docs/llms.txt", "openapi": "https://api.hyperbolic.ai/v2/openapi.json", "capabilities": [ "compute.gpu" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "api-key", "bare-metal", "status-page", "prepaid" ], "lastRelease": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 48, "grade": "D", "agentReady": false, "rank": 730, "ranked": true, "rankOf": 842, "categoryRank": 15, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 42, "payments": 15, "reliability": 52, "schema": 77, "security": 47, "transparency": 61 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "2026-10-05, removing the `roles` list from the `GET /v2/users/me` response and changing timestamps to RFC 3339 on the v2 API. Both are recorded in the changelog entry for the week they shipped, and no advance notice was found. Documented, so 3 points (https://www.hyperbolic.ai/docs/changelog)." ], "verdict": "The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit.", "bestFor": "Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.", "strengths": [ "OpenAPI 3.1 document with 65 operations and 53 schemas, served by the API at `GET /v2/openapi.json` with no key", "`GET /v2/on-demand/rental-options` returns live GPU configurations and hourly prices in cents with no key", "Deprecated paths answer with a `Sunset` header and a stated end date of 1 March 2027, and each names its replacement", "Docs index at `/docs/llms.txt`, every page as Markdown and the whole corpus in `llms-full.txt` (188 KB)", "Billing starts only when an instance is ready, and instances that fail to provision within about 3 hours are not charged, per the pricing docs" ], "weaknesses": [ "API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`", "`POST /v2/on-demand/rentals` has no idempotency key, so a retried call can start a second billed rental", "No 429 response, `Retry-After` header or backoff guidance was found in the spec or the docs", "A free-tier account cannot rent GPUs or storage. Renting needs a one-time deposit of at least $5 through Stripe", "The Terms of Service describe a marketplace in which uptime is between buyer and supplier, while the docs state a 99.5 per cent uptime SLA", "No official SDK or CLI for the v2 API was found. The vendor's MCP repository last changed in May 2025 and calls the legacy v1 marketplace paths" ], "agentNotes": [ "Read `GET /v2/on-demand/rental-options` first. It needs no key and lists what can be rented now, with `costPerHourCents` per GPU configuration.", "Send `rentalType` and `gpuCount` to `POST /v2/on-demand/rentals`. Region defaults to `us-central-1` and GPU type to `h100`, so set both from the options list.", "List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly.", "Save an SSH public key with `POST /v2/ssh-keys` before renting. Without `sshPublicKeyIds` the newest saved key is attached.", "Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48 } ], "editorialScores": { "ergonomics": 55, "maintenance": 42, "payments": 15, "reliability": 52, "schema": 77, "security": 47, "transparency": 45 }, "provenanceScore": 76 }, "connect": { "http": "curl -X POST https://api.hyperbolic.ai/v2/ssh-keys -H \"Authorization: Bearer $HYPERBOLIC_API_KEY\" -H \"Content-Type: application/json\" -d \"{\\\"publicKey\\\": \\\"$(cat ~/.ssh/id_ed25519.pub)\\\", \\\"name\\\": \\\"Work laptop\\\"}\"" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/hyperbolic" }, "area": "models", "unitPrices": [ { "item": "H100 SXM5 80 GB virtual machine, on-demand", "unit": "gpu-hour", "usd": 3.19, "note": "The one configuration on the open price list on 8 October 2026 (us-east-1). Reserved terms take 1 to 5 per cent off" } ], "provenance": { "legalEntity": "Hyperbolic Labs, Inc.", "domain": "hyperbolic.ai", "domainRegistered": "2021-10-11", "endpointOnVendorDomain": true, "terms": "https://www.hyperbolic.ai/terms", "privacy": "https://www.hyperbolic.ai/privacy", "statusPage": "https://status.hyperbolic.ai", "changelog": "https://www.hyperbolic.ai/docs/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Terms of Service, last updated 24 March 2025, name Hyperbolic Labs, Inc. as owner and operator of the platform, apply California law and set AAA arbitration. They cover the website and all services, and no separate API or cloud agreement was found.", "The Privacy Policy is effective 3 June 2024 and names Hyperbolic Labs, Inc. One clause on business transfers names Babylon three times where the company's own name would be expected.", "The API answers at api.hyperbolic.ai, a subdomain of the vendor domain, and on the legacy host api.hyperbolic.xyz.", "https://www.hyperbolic.ai/.well-known/security.txt answered 404. The docs ask for vulnerability reports by email to support@hyperbolic.ai.", "RDAP for hyperbolic.ai gives a registration date of 2021-10-11." ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/hyperbolic.json", "live": { "slug": "hyperbolic", "probe": { "target": "https://api.hyperbolic.ai", "method": "get", "lastAt": "2026-10-09T10:42:45.784915838Z", "lastOk": true, "lastStatus": 200, "lastMs": 668, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 666, "p95ms24h": 763, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.hyperbolic.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:58:04.049851546Z" }, "updatedAt": "2026-10-09T10:42:45.784915838Z" } }, "facts": [ { "a": "Model platform", "b": "HTTP API", "name": "Kind" }, { "a": "Cerebrium Inc.", "b": "Hyperbolic Labs, Inc.", "name": "Vendor" }, { "a": "https://rest.cerebrium.ai", "b": "https://api.hyperbolic.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under Cerebrium's terms of service. The CLI is MIT", "b": "Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-16", "b": "2026-10-05", "name": "Last release" }, { "a": "no date given", "b": "2025-03-24", "name": "Terms last updated" }, { "a": "no date given", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "yes", "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": "yes", "name": "Arbitration or class-action waiver" }, { "a": "920 PyPI/wk", "b": "none", "name": "Popularity" } ], "faq": [ { "answer": "Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and agent ergonomics.", "question": "Which is better for AI agents, Cerebrium or Hyperbolic?" }, { "answer": "Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Hyperbolic at https://api.hyperbolic.ai.", "question": "Can an agent call Cerebrium and Hyperbolic without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 60 against 47", "Payments \u0026 pricing, 30 against 15", "Maintenance \u0026 community, 75 against 42" ], "also": [ "No incidents deducted, where Hyperbolic loses 3 points for them" ], "goodFor": "Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.", "slug": "cerebrium", "watchFor": "`disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it" }, { "aheadOn": [ "Schema \u0026 documentation, 77 against 70", "Agent ergonomics, 55 against 49" ], "also": null, "goodFor": "Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.", "slug": "hyperbolic", "watchFor": "API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`" } ], "job": { "capability": "compute.gpu", "name": "Compute gpu" }, "others": [ { "json": "https://www.anchorterminal.com/compare/baseten-vs-cerebrium.json", "title": "Baseten vs Cerebrium", "url": "https://www.anchorterminal.com/compare/baseten-vs-cerebrium" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.json", "title": "Baseten vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-cerebrium.json", "title": "Beam vs Cerebrium", "url": "https://www.anchorterminal.com/compare/beam-vs-cerebrium" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic.json", "title": "Beam vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic" }, { "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/cerebrium-vs-koyeb.json", "title": "Cerebrium vs Koyeb", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-lambda.json", "title": "Cerebrium vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-modal.json", "title": "Cerebrium vs Modal", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-modal" }, { "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/cerebrium-vs-northflank.json", "title": "Cerebrium vs Northflank", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy.json", "title": "Cerebrium vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-runpod.json", "title": "Cerebrium vs Runpod", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.json", "title": "Cerebrium vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-vast-ai.json", "title": "Cerebrium vs Vast.ai", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-verda.json", "title": "Cerebrium vs Verda", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-verda" }, { "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/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/hyperbolic-vs-koyeb.json", "title": "Hyperbolic vs Koyeb", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.json", "title": "Hyperbolic vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal.json", "title": "Hyperbolic vs Modal", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal" }, { "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/hyperbolic-vs-northflank.json", "title": "Hyperbolic vs Northflank", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.json", "title": "Hyperbolic vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.json", "title": "Hyperbolic vs Runpod", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.json", "title": "Hyperbolic vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai.json", "title": "Hyperbolic vs Vast.ai", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-verda.json", "title": "Hyperbolic vs Verda", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-verda" } ], "scores": [ { "by": 4, "cerebrium": 48, "edge": "hyperbolic", "hyperbolic": 52, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 7, "cerebrium": 70, "edge": "hyperbolic", "hyperbolic": 77, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 6, "cerebrium": 49, "edge": "hyperbolic", "hyperbolic": 55, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 13, "cerebrium": 60, "edge": "cerebrium", "hyperbolic": 47, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 15, "cerebrium": 30, "edge": "cerebrium", "hyperbolic": 15, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 33, "cerebrium": 75, "edge": "cerebrium", "hyperbolic": 42, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 2, "cerebrium": 63, "edge": "cerebrium", "hyperbolic": 61, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and agent ergonomics. Both do compute gpu.", "verdicts": { "cerebrium": "Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless `disable_auth = false` is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.", "hyperbolic": "The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic", "json": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.md", "slim": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.min.md" }, "markdown": "Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and agent ergonomics. Both do compute gpu.\n\n- Cerebrium: grade C, 55.3/100, rank #593 of 842. Markdown https://www.anchorterminal.com/tools/cerebrium.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebrium.json\n- Hyperbolic: grade D, 48/100, rank #730 of 842. Markdown https://www.anchorterminal.com/tools/hyperbolic.md · JSON https://www.anchorterminal.com/api/v1/tools/hyperbolic.json\n\n## Which one, for what\n\n### Cerebrium (C)\n\nGood for: Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.\n\nAhead on:\n- Security \u0026 auth, 60 against 47\n- Payments \u0026 pricing, 30 against 15\n- Maintenance \u0026 community, 75 against 42\n\nAlso in its favour:\n- No incidents deducted, where Hyperbolic loses 3 points for them\n\nWatch for: `disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it\n\n### Hyperbolic (D)\n\nGood for: Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.\n\nAhead on:\n- Schema \u0026 documentation, 77 against 70\n- Agent ergonomics, 55 against 49\n\nWatch for: API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`\n\n\n## Score by category\n\n| Category | Weight | Cerebrium | Hyperbolic | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 48 | 52 | Hyperbolic +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 77 | Hyperbolic +7 |\n| Agent ergonomics | 13% (16.2 this run) | 49 | 55 | Hyperbolic +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 47 | Cerebrium +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 15 | Cerebrium +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 42 | Cerebrium +33 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 61 | Cerebrium +2 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **55.3 · C** | **48 · D** | |\n\n## Facts side by side\n\n| Fact | Cerebrium | Hyperbolic |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Cerebrium Inc. | Hyperbolic Labs, Inc. |\n| Hosted endpoint | `https://rest.cerebrium.ai` | `https://api.hyperbolic.ai` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under Cerebrium's terms of service. The CLI is MIT | Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-16 | 2026-10-05 |\n| Terms last updated | no date given | 2025-03-24 |\n| Privacy policy last updated | no date given | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | yes | yes |\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 | yes |\n| Popularity | 920 PyPI/wk | none |\n\n## Verdicts\n\n**Cerebrium.** Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless `disable_auth = false` is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.\n\n**Hyperbolic.** The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit.\n\n## Before you call either\n\n### Cerebrium\n\n1. Set `disable_auth = false` in `cerebrium.toml` before deploying. The default leaves the endpoint callable by anyone with the URL\n2. Authenticate headless with `CEREBRIUM_SERVICE_ACCOUNT_TOKEN`. `cerebrium login` opens a browser\n3. Raise `response_grace_period` for long work. It defaults to 15 minutes and async runs stop at 12 hours\n4. Send `?async=true` to get a `run_id` with HTTP 202, and add `webhookEndpoint` because async calls return no result to the caller\n5. Check the plan before choosing hardware. A100, H100, H200, B200 and RTX PRO 6000 need Standard, and `protected` compute bills at twice the listed rate\n\n### Hyperbolic\n\n1. Read `GET /v2/on-demand/rental-options` first. It needs no key and lists what can be rented now, with `costPerHourCents` per GPU configuration.\n2. Send `rentalType` and `gpuCount` to `POST /v2/on-demand/rentals`. Region defaults to `us-central-1` and GPU type to `h100`, so set both from the options list.\n3. List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly.\n4. Save an SSH public key with `POST /v2/ssh-keys` before renting. Without `sshPublicKeyIds` the newest saved key is attached.\n5. Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early.\n\n## Questions\n\n### Which is better for AI agents, Cerebrium or Hyperbolic?\n\nCerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and agent ergonomics.\n\n### Can an agent call Cerebrium and Hyperbolic without installing anything?\n\nYes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Hyperbolic at https://api.hyperbolic.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cerebrium\", \"b\": \"hyperbolic\"}`. From a terminal: `anchor compare cerebrium hyperbolic`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebrium.json and https://www.anchorterminal.com/api/v1/tools/hyperbolic.json\n\n## Other comparisons with Cerebrium or Hyperbolic\n\n- [Baseten vs Cerebrium](https://www.anchorterminal.com/compare/baseten-vs-cerebrium.md)\n- [Baseten vs Hyperbolic](https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.md)\n- [Beam vs Cerebrium](https://www.anchorterminal.com/compare/beam-vs-cerebrium.md)\n- [Beam vs Hyperbolic](https://www.anchorterminal.com/compare/beam-vs-hyperbolic.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- [Cerebrium vs Koyeb](https://www.anchorterminal.com/compare/cerebrium-vs-koyeb.md)\n- [Cerebrium vs Lambda Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-lambda.md)\n- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)\n- [Cerebrium vs Nebius AI Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud.md)\n- [Cerebrium vs Northflank](https://www.anchorterminal.com/compare/cerebrium-vs-northflank.md)\n- [Cerebrium vs Replicate Deployments](https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy.md)\n- [Cerebrium vs Runpod](https://www.anchorterminal.com/compare/cerebrium-vs-runpod.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)\n- [Cerebrium vs Vast.ai](https://www.anchorterminal.com/compare/cerebrium-vs-vast-ai.md)\n- [Cerebrium vs Verda](https://www.anchorterminal.com/compare/cerebrium-vs-verda.md)\n- [CoreWeave vs Hyperbolic](https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.md)\n- [Hugging Face Inference Endpoints vs Hyperbolic](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.md)\n- [Hyperbolic vs Koyeb](https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.md)\n- [Hyperbolic vs Lambda Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.md)\n- [Hyperbolic vs Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md)\n- [Hyperbolic vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.md)\n- [Hyperbolic vs Northflank](https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.md)\n- [Hyperbolic vs Replicate Deployments](https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.md)\n- [Hyperbolic vs Runpod](https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Hyperbolic vs Vast.ai](https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai.md)\n- [Hyperbolic vs Verda](https://www.anchorterminal.com/compare/hyperbolic-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": "Cerebrium vs Hyperbolic", "url": "" } ], "description": "Cerebrium scores 55.3 (C) on agent readiness against Hyperbolic's 48 (D), and leads in 4 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and agent ergonomics. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Cerebrium C 55.3", "Hyperbolic D 48", "scores" ], "h1": "Cerebrium vs Hyperbolic", "image": "https://www.anchorterminal.com/assets/og/compare-cerebrium-vs-hyperbolic.png", "path": "/compare/cerebrium-vs-hyperbolic", "published": "2026-10-01", "section": "tools", "title": "Cerebrium vs Hyperbolic for AI agents, C 55.3 vs D 48", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic" }, "tokens": { "markdown": 2500, "slim": 630 }, "version": 1 }