{
  "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": "2026-10-09T11:28:57.044718514Z",
          "lastOk": true,
          "lastStatus": 403,
          "lastMs": 252,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 252,
          "p95ms24h": 280,
          "samples24h": 192,
          "samples30d": 192,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 70,
              "ok": 70
            },
            {
              "date": "2026-10-09",
              "probes": 122,
              "ok": 122
            }
          ]
        },
        "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": "2026-10-09T11:28:57.044718514Z"
      }
    },
    "answer": "Thunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security \u0026 auth and payments \u0026 pricing.",
    "b": {
      "slug": "thunder-compute",
      "name": "Thunder Compute",
      "vendor": "Thunder Compute",
      "vendorUrl": "https://www.thundercompute.com",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "Thunder Compute is a US GPU cloud renting RTX A6000, L40, A100 and H100 instances by the minute and GPU sandboxes by the second. Agents use its REST API, a hosted MCP server with OAuth, or the `tnr` CLI.",
      "url": "https://www.anchorterminal.com/tools/thunder-compute",
      "markdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/thunder-compute.json",
      "repo": "https://github.com/Thunder-Compute/thunder-cli",
      "license": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.thundercompute.com:8443/v1",
      "packages": [
        {
          "registry": "go",
          "name": "github.com/Thunder-Compute/thunder-cli"
        },
        {
          "registry": "pypi",
          "name": "thunder-sandbox"
        }
      ],
      "auth": "mixed",
      "authNotes": "Self-serve. The hosted MCP server uses OAuth 2.0 with discovery. The first connection opens a browser to sign in and approve, tokens refresh, and the scopes are `instances:read`, `instances:write`, `snapshots:read`, `snapshots:write`, `sandboxes:read`, `sandboxes:write`, `billing:read` and `org:read`. The REST API takes a named API token as a Bearer header. Tokens are created and revoked one at a time in the console, or with the MCP `create_token` tool, and no token scopes were found. The CLI and the sandbox SDK read `TNR_API_TOKEN` for headless use. Price, specification, availability and template endpoints need no token.",
      "pricing": "usage",
      "pricingNotes": "No general free tier. Instances are billed by the minute while they run, paid by saved card or preloaded credit that is non-refundable. Per GPU an hour on 9 October 2026, RTX A6000 is $0.35, L40 $0.79, A100 80 GB $1.09 and H100 $3.20. Sandboxes are billed by the second and need access enabled by the vendor. Students with a US university email get $20 of credit for A6000 and L40 GPUs. Reserved capacity is by quote (https://www.thundercompute.com/pricing).",
      "priceSummary": "$0.04 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs corpus, the OpenAPI document or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": 28,
      "popularity": {
        "githubStars": 34,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://www.thundercompute.com/docs",
      "llmsTxt": "https://www.thundercompute.com/docs/llms.txt",
      "openapi": "https://api.thundercompute.com:8443/openapi.json",
      "registryName": "io.github.Thunder-Compute/thunder-compute",
      "capabilities": [
        "compute.gpu",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "openapi",
        "llms-txt",
        "mcp",
        "cli",
        "oauth",
        "api-key",
        "python",
        "go",
        "status-page",
        "card-required",
        "closed-source"
      ],
      "lastRelease": "2026-09-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.1,
        "grade": "C",
        "agentReady": false,
        "rank": 576,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 48,
          "maintenance": 79,
          "payments": 20,
          "reliability": 65,
          "schema": 70,
          "security": 51,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.",
        "bestFor": "Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.",
        "strengths": [
          "Hosted MCP server at `https://www.thundercompute.com/mcp` with OAuth and ten scopes that separate read from write for instances, snapshots and sandboxes",
          "Public OpenAPI 3.1 document with 41 operations, plus `llms.txt`, `llms-full.txt` and a Markdown copy of every docs page",
          "`GET /v2/pricing`, `GET /v2/specs` and `GET /v2/status` return prices, configurations and live availability without a token",
          "Section 28 of the terms, dated 28 September 2026, permits access by AI agents, scripts and SDKs through the account holder's own credentials",
          "The status page lists no incidents for July to October 2026 on its Website, API and Instances components"
        ],
        "weaknesses": [
          "No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability",
          "`POST /instances/create` has no idempotency key, so a retried launch can start a second billed instance",
          "Instances cannot be stopped. Pausing means taking a snapshot, deleting the instance and restoring later",
          "No general free tier. The $20 credit is limited to students with a US university email",
          "No security.txt or disclosure policy was found, and the SOC 2 Type II claim in `llms.txt` has no report or trust page linked",
          "The sub-processor list, last updated 27 August 2025, names Firebase for sign-in while the MCP docs name Stytch"
        ],
        "agentNotes": [
          "Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.",
          "List instances before retrying a failed create, because the call has no idempotency key.",
          "Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.",
          "To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.",
          "For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection."
        ],
        "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": 56.1
          }
        ],
        "editorialScores": {
          "ergonomics": 48,
          "maintenance": 79,
          "payments": 20,
          "reliability": 65,
          "schema": 70,
          "security": 51,
          "transparency": 51
        },
        "provenanceScore": 77
      },
      "connect": {
        "install": "curl -fsSL https://raw.githubusercontent.com/Thunder-Compute/thunder-cli/main/scripts/install.sh | bash",
        "http": "curl https://api.thundercompute.com:8443/v2/pricing",
        "claudeCode": "claude mcp add --transport http thunder-compute https://www.thundercompute.com/mcp",
        "config": {
          "mcpServers": {
            "thunder-compute": {
              "url": "https://www.thundercompute.com/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/thunder-compute"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "RTX A6000 48 GB instance",
          "unit": "gpu-hour",
          "usd": 0.35,
          "note": "Billed per minute. One GPU per instance"
        },
        {
          "item": "L40 48 GB instance",
          "unit": "gpu-hour",
          "usd": 0.79,
          "note": "Billed per minute"
        },
        {
          "item": "A100 80 GB instance",
          "unit": "gpu-hour",
          "usd": 1.09,
          "note": "Billed per minute. 4 and 8 GPU shapes cost $1.49 a GPU per the price endpoint"
        },
        {
          "item": "H100 80 GB instance",
          "unit": "gpu-hour",
          "usd": 3.2,
          "note": "Billed per minute"
        },
        {
          "item": "H100 80 GB sandbox",
          "unit": "gpu-hour",
          "usd": 2.95,
          "note": "Billed per second, plus vCPU and memory. Access on request"
        },
        {
          "item": "A100 80 GB sandbox",
          "unit": "gpu-hour",
          "usd": 1.95,
          "note": "Billed per second, plus vCPU and memory. Access on request"
        },
        {
          "item": "Extra instance vCPU",
          "unit": "vcpu-hour",
          "usd": 0.04,
          "note": "Above the vCPUs included with each GPU"
        },
        {
          "item": "Sandbox vCPU",
          "unit": "vcpu-hour",
          "usd": 0.051,
          "note": "Memory is $0.016 per GiB an hour"
        },
        {
          "item": "Instance disk above 100 GB per GPU",
          "unit": "gb-month",
          "usd": 0.219,
          "note": "Billed only while the instance runs"
        },
        {
          "item": "Snapshot storage",
          "unit": "gb-month",
          "usd": 0.05,
          "note": "Kept until deleted"
        }
      ],
      "provenance": {
        "legalEntity": "Thunder GPU, Inc.",
        "domain": "thundercompute.com",
        "domainRegistered": "2024-02-29",
        "endpointOnVendorDomain": true,
        "terms": "https://www.thundercompute.com/terms-and-conditions",
        "privacy": "https://www.thundercompute.com/privacy-policy",
        "statusPage": "https://status.thundercompute.com",
        "changelog": "https://github.com/Thunder-Compute/thunder-cli/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "The Terms and Conditions, last updated 28 September 2026, name Thunder GPU, Inc., doing business as Thunder Compute, a Delaware company, and apply Delaware law. They cover the site and the services, with sections on automated access, usage billing and instance data deletion.",
          "The privacy policy, last updated 28 September 2026, covers the website and the GPU platform, including access by AI agents.",
          "The API answers at api.thundercompute.com on port 8443, and the MCP server at www.thundercompute.com/mcp, both on the vendor domain.",
          "/.well-known/security.txt answers 404.",
          "RDAP for thundercompute.com gives a registration date of 2024-02-29.",
          "The changelog linked is the CLI's. No API changelog was found.",
          "A Data Processing Addendum is published in the docs and a sub-processor list on the site, last updated 27 August 2025."
        ],
        "score": 77
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/thunder-compute.json",
      "live": {
        "slug": "thunder-compute",
        "probe": {
          "target": "https://api.thundercompute.com:8443/v1",
          "method": "get",
          "lastAt": "2026-10-09T11:29:16.504988858Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 669,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 607,
          "p95ms24h": 730,
          "samples24h": 41,
          "samples30d": 41,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 41,
              "ok": 41
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.thundercompute.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-09T11:26:37.721413656Z"
        },
        "updatedAt": "2026-10-09T11:29:16.504988858Z"
      }
    },
    "facts": [
      {
        "a": "Model platform",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Cerebrium Inc.",
        "b": "Thunder Compute",
        "name": "Vendor"
      },
      {
        "a": "https://rest.cerebrium.ai",
        "b": "https://api.thundercompute.com:8443/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "not published",
        "b": "$0.219 per GB per month",
        "name": "Price for compute gpu"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Cerebrium's terms of service. The CLI is MIT",
        "b": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "28",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.github.Thunder-Compute/thunder-compute",
        "name": "MCP registry"
      },
      {
        "a": "2026-09-16",
        "b": "2026-09-16",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "2026-09-28",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "2026-09-28",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "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": "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": "34 stars",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Thunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security \u0026 auth and payments \u0026 pricing.",
        "question": "Which is better for AI agents, Cerebrium or Thunder Compute?"
      },
      {
        "answer": "Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Thunder Compute at https://api.thundercompute.com:8443/v1.",
        "question": "Can an agent call Cerebrium and Thunder Compute without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 60 against 51",
          "Payments \u0026 pricing, 30 against 20"
        ],
        "also": null,
        "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": [
          "Reliability, 65 against 48"
        ],
        "also": null,
        "goodFor": "Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.",
        "slug": "thunder-compute",
        "watchFor": "No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability"
      }
    ],
    "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-thunder-compute.json",
        "title": "Baseten vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-thunder-compute"
      },
      {
        "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-thunder-compute.json",
        "title": "Beam vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute"
      },
      {
        "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-hyperbolic.json",
        "title": "Cerebrium vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic"
      },
      {
        "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-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-thunder-compute.json",
        "title": "CoreWeave vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute"
      },
      {
        "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/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/koyeb-vs-thunder-compute.json",
        "title": "Koyeb vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.json",
        "title": "Lambda Cloud vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute.json",
        "title": "Modal vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute"
      },
      {
        "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/northflank-vs-thunder-compute.json",
        "title": "Northflank vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.json",
        "title": "Replicate Deployments vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.json",
        "title": "Runpod vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.json",
        "title": "Thunder Compute vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda.json",
        "title": "Thunder Compute vs Verda",
        "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda"
      }
    ],
    "scores": [
      {
        "by": 17,
        "cerebrium": 48,
        "edge": "thunder-compute",
        "key": "reliability",
        "name": "Reliability",
        "thunder-compute": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 0,
        "cerebrium": 70,
        "edge": "",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "thunder-compute": 70,
        "weight": 13
      },
      {
        "by": 1,
        "cerebrium": 49,
        "edge": "cerebrium",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "thunder-compute": 48,
        "weight": 13
      },
      {
        "by": 9,
        "cerebrium": 60,
        "edge": "cerebrium",
        "key": "security",
        "name": "Security \u0026 auth",
        "thunder-compute": 51,
        "weight": 14
      },
      {
        "by": 10,
        "cerebrium": 30,
        "edge": "cerebrium",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "thunder-compute": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 4,
        "cerebrium": 75,
        "edge": "thunder-compute",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "thunder-compute": 79,
        "weight": 7
      },
      {
        "by": 1,
        "cerebrium": 63,
        "edge": "thunder-compute",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "thunder-compute": 64,
        "weight": 7
      }
    ],
    "summary": "Thunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security \u0026 auth and payments \u0026 pricing. 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.",
      "thunder-compute": "The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute",
    "json": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md",
    "slim": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.min.md"
  },
  "markdown": "Thunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security \u0026 auth and payments \u0026 pricing. 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- Thunder Compute: grade C, 56.1/100, rank #576 of 842. Markdown https://www.anchorterminal.com/tools/thunder-compute.md · JSON https://www.anchorterminal.com/api/v1/tools/thunder-compute.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 51\n- Payments \u0026 pricing, 30 against 20\n\nWatch for: `disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it\n\n### Thunder Compute (C)\n\nGood for: Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.\n\nAhead on:\n- Reliability, 65 against 48\n\nWatch for: No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability\n\n\n## Score by category\n\n| Category | Weight | Cerebrium | Thunder Compute | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 48 | 65 | Thunder Compute +17 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 70 | even |\n| Agent ergonomics | 13% (16.2 this run) | 49 | 48 | Cerebrium +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 51 | Cerebrium +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Cerebrium +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 79 | Thunder Compute +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 64 | Thunder Compute +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.3 · C** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Cerebrium | Thunder Compute |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Cerebrium Inc. | Thunder Compute |\n| Hosted endpoint | `https://rest.cerebrium.ai` | `https://api.thundercompute.com:8443/v1` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| Price for compute gpu | not published | $0.219 per GB per month |\n| x402 | no | no |\n| Licence | Proprietary service under Cerebrium's terms of service. The CLI is MIT | Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT |\n| Tools exposed | none | 28 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.Thunder-Compute/thunder-compute` |\n| Last release | 2026-09-16 | 2026-09-16 |\n| Terms last updated | no date given | 2026-09-28 |\n| Privacy policy last updated | no date given | 2026-09-28 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\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 | 34 stars |\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**Thunder Compute.** The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.\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### Thunder Compute\n\n1. Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.\n2. List instances before retrying a failed create, because the call has no idempotency key.\n3. Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.\n4. To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.\n5. For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection.\n\n## Questions\n\n### Which is better for AI agents, Cerebrium or Thunder Compute?\n\nThunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security \u0026 auth and payments \u0026 pricing.\n\n### Can an agent call Cerebrium and Thunder Compute without installing anything?\n\nYes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Thunder Compute at https://api.thundercompute.com:8443/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cerebrium\", \"b\": \"thunder-compute\"}`. From a terminal: `anchor compare cerebrium thunder-compute`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebrium.json and https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Other comparisons with Cerebrium or Thunder Compute\n\n- [Baseten vs Cerebrium](https://www.anchorterminal.com/compare/baseten-vs-cerebrium.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Beam vs Cerebrium](https://www.anchorterminal.com/compare/beam-vs-cerebrium.md)\n- [Beam vs Thunder Compute](https://www.anchorterminal.com/compare/beam-vs-thunder-compute.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 Hyperbolic](https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.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 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 Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md)\n- [Hugging Face Inference Endpoints vs Thunder Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Koyeb vs Thunder Compute](https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md)\n- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Nebius AI Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md)\n- [Northflank vs Thunder Compute](https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.md)\n- [Replicate Deployments vs Thunder Compute](https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.md)\n- [Runpod vs Thunder Compute](https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.md)\n- [Thunder Compute vs Vast.ai](https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.md)\n- [Thunder Compute vs Verda](https://www.anchorterminal.com/compare/thunder-compute-vs-verda.md)\n",
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    "description": "Thunder Compute and Cerebrium score within a point of each other on agent readiness, 56.1 (C) and 55.3 (C). Cerebrium leads on security \u0026 auth and payments \u0026 pricing. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Cerebrium vs Thunder Compute for AI agents, C 55.3 vs C 56.1",
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