{
  "data": {
    "a": {
      "slug": "massed-compute",
      "name": "Massed Compute",
      "vendor": "Massed Compute",
      "vendorUrl": "https://massedcompute.com",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "Massed Compute is a US GPU cloud that rents NVIDIA GPU virtual machines by the hour from hardware it owns, with bare metal and clusters by quote. Agents use its REST API or a hosted MCP server.",
      "url": "https://www.anchorterminal.com/tools/massed-compute",
      "markdownUrl": "https://www.anchorterminal.com/tools/massed-compute.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/massed-compute.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/massed-compute.json",
      "repo": "https://github.com/Massed-Compute/massed-compute-mcp",
      "license": "Proprietary service under Massed Compute's Terms \u0026 Conditions and End User Licence Agreement. The `massed-compute-mcp` wrapper on GitHub is MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://vm.massedcompute.com/api/v1",
      "packages": [
        {
          "registry": "npm",
          "name": "massed-compute-mcp"
        },
        {
          "registry": "pypi",
          "name": "massed-compute-mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "Self-serve. The owner signs up in a browser, verifies an email address and creates a named API token at vm.massedcompute.com/settings/api, choosing Full access or Read only. The token is shown once, travels as a Bearer header and is revoked from the token table. The same token works for the REST API and the MCP server. MCP clients that send no token get a 401 with an OAuth challenge, and the owner signs in and approves full or read-only access. Grants are listed and revoked under Connected Apps. The older marketplace API on `api.massedcompute.com` issues keys only through support.",
      "pricing": "usage",
      "pricingNotes": "No free tier or trial credit was found. The owner adds a card or pays in crypto, makes a first deposit and sets an auto-recharge threshold of at least $5 before any launch. Running VMs are debited every minute at a published hourly rate. On 9 October 2026 a single A30 was $0.35 an hour, an RTX A6000 $0.57, an L40S $0.97, an A100 80 GB $1.35 and an H100 80 GB $2.73. No bandwidth charge per the pricing page. Bare metal, clusters and the marketplace API are by quote (https://vm.massedcompute.com/pricing).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the two OpenAPI files, the MCP server card or the pricing page. The billing docs describe crypto top-ups made by the account owner, which is not a machine payment protocol (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": 17,
      "popularity": {
        "githubStars": 1,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://vm-docs.massedcompute.com",
      "llmsTxt": "https://massedcompute.com/llms.txt",
      "openapi": "https://vm-docs.massedcompute.com/redocusaurus/plugin-redoc-0.yaml",
      "registryName": "io.github.Massed-Compute/mcp",
      "capabilities": [
        "compute.gpu"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "openapi",
        "mcp",
        "oauth",
        "api-key",
        "read-only-keys",
        "node",
        "python",
        "card-required",
        "crypto-payments",
        "closed-source"
      ],
      "lastRelease": "2026-07-24",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 42.3,
        "grade": "E",
        "agentReady": false,
        "rank": 896,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 18,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 56,
          "maintenance": 51,
          "payments": 20,
          "reliability": 20,
          "schema": 69,
          "security": 61,
          "transparency": 61
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": -5,
        "negativeNotes": [
          "8 June 2026. The `instances_list` and `instances_get` MCP tools returned the cleartext VM password although their descriptions said it was redacted. Fixed in `massed-compute-mcp` 1.0.3 and later moved server-side, with rotation advice in the changelog. No GitHub advisory is published. Fixed and documented, so 3 points (https://github.com/Massed-Compute/massed-compute-mcp/blob/main/CHANGELOG.md).",
          "9 October 2026. The product page lists SDKs for Go and a Terraform provider, webhooks and per-project quotas. None appears in the docs, the OpenAPI file or the vendor's public GitHub organisation. 2 points (https://massedcompute.com/products/inventory-api/)."
        ],
        "verdict": "The hosted MCP server and REST API accept OAuth grants or API tokens in read-only and full-access tiers, and all 17 tools carry typed schemas and safety annotations in a public server card. No status page, rate limit figures or API changelog were found, a launch has no idempotency key, and the governing terms could not be read.",
        "bestFor": "Agents that rent whole GPU VMs by the hour for training, fine-tuning or a model server and want a small MCP tool set with a read-only mode.",
        "strengths": [
          "API tokens and OAuth grants come in read-only and full-access tiers, and tokens are revoked one at a time in the console",
          "A public server card lists all 17 MCP tools with JSON Schema inputs and `readOnlyHint`, `destructiveHint` and `idempotentHint` annotations",
          "Hourly prices for 23 GPU configurations, from $0.35 for an A30 to $52.80 for eight B300s, are public without a login",
          "A public OpenAPI 3.0 file covers the 14 REST operations at `https://vm.massedcompute.com/api/v1`",
          "The sub-processor list names 23 processors with locations, was updated on 10 September 2026 and has an RSS feed for changes"
        ],
        "weaknesses": [
          "No status page, incident history or security.txt was found on any of the vendor's hosts",
          "A 429 answer exists but no rate limit figures are published, and the OpenAPI file documents no error response",
          "`POST /instance/launch` has no idempotency key, so a retried launch can start a second billed VM",
          "Until a fix dated 8 June 2026, `instances_list` and `instances_get` returned the cleartext VM password although their descriptions said it was redacted",
          "The product page lists Go and Terraform SDKs and webhooks that the docs, the OpenAPI file and the public GitHub organisation do not show",
          "A stopped instance is billed at the full hourly rate. Only termination ends billing, and it deletes the data"
        ],
        "agentNotes": [
          "Use `https://vm.massedcompute.com/api/v1`. The older docs at api-docs.massedcompute.com describe a separate marketplace API on `api.massedcompute.com` whose keys come from support.",
          "Ask the owner for a read-only token unless the task must launch or terminate. Read-only credentials cannot call launch, restart, terminate or SSH key changes.",
          "Call `gpu_inventory_list` and `images_list` before `instances_launch`. Product names and image IDs are free values, and SXM-only images do not run on PCIe cards.",
          "Expect 402 on launch until the owner has added credit and set a recharge amount and threshold. List instances before retrying a launch.",
          "Terminate to end billing. Stopping keeps the full hourly charge, and termination deletes the instance data."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 42.3
          }
        ],
        "editorialScores": {
          "ergonomics": 56,
          "maintenance": 51,
          "payments": 20,
          "reliability": 20,
          "schema": 69,
          "security": 61,
          "transparency": 53
        },
        "provenanceScore": 68
      },
      "connect": {
        "install": "npm install -g massed-compute-mcp",
        "claudeCode": "claude mcp add --transport http massed-compute https://vm.massedcompute.com/api/mcp --header \"Authorization: Bearer MC_TOKEN\"",
        "config": {
          "mcpServers": {
            "massed-compute": {
              "headers": {
                "Authorization": "Bearer MC_TOKEN"
              },
              "type": "http",
              "url": "https://vm.massedcompute.com/api/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/massed-compute"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "A30 24 GB VM",
          "unit": "gpu-hour",
          "usd": 0.35,
          "note": "Billed per minute"
        },
        {
          "item": "RTX A5000 24 GB VM",
          "unit": "gpu-hour",
          "usd": 0.44,
          "note": "Billed per minute"
        },
        {
          "item": "RTX A6000 48 GB VM",
          "unit": "gpu-hour",
          "usd": 0.57,
          "note": "Billed per minute. An alternative configuration is $0.55"
        },
        {
          "item": "RTX 6000 Ada 48 GB VM",
          "unit": "gpu-hour",
          "usd": 0.79,
          "note": "Billed per minute"
        },
        {
          "item": "L40 48 GB VM",
          "unit": "gpu-hour",
          "usd": 0.86,
          "note": "Billed per minute"
        },
        {
          "item": "RTX PRO 4500 Blackwell 32 GB VM",
          "unit": "gpu-hour",
          "usd": 0.92,
          "note": "Billed per minute"
        },
        {
          "item": "L40S 48 GB VM",
          "unit": "gpu-hour",
          "usd": 0.97,
          "note": "Billed per minute"
        },
        {
          "item": "A100 80 GB VM",
          "unit": "gpu-hour",
          "usd": 1.35,
          "note": "Billed per minute. SXM4 and DGX variants are $1.38"
        },
        {
          "item": "RTX PRO 6000 Blackwell 96 GB VM",
          "unit": "gpu-hour",
          "usd": 2.19,
          "note": "Billed per minute"
        },
        {
          "item": "H100 80 GB VM",
          "unit": "gpu-hour",
          "usd": 2.73,
          "note": "Billed per minute. H100 NVL is $3.11 and H100 SXM5 $3.14"
        },
        {
          "item": "H200 NVL 141 GB VM",
          "unit": "gpu-hour",
          "usd": 3.62,
          "note": "Billed per minute"
        },
        {
          "item": "B200 SXM6 VM, 8 GPUs",
          "unit": "gpu-hour",
          "usd": 5.43,
          "note": "Sold only as eight GPUs at $43.46 an hour. Our division, rounded"
        },
        {
          "item": "B300 SXM6 VM, 8 GPUs",
          "unit": "gpu-hour",
          "usd": 6.6,
          "note": "Sold only as eight GPUs at $52.80 an hour. Our division"
        }
      ],
      "provenance": {
        "legalEntity": "Massed Compute, Inc.",
        "domain": "massedcompute.com",
        "domainRegistered": "2021-10-28",
        "endpointOnVendorDomain": true,
        "terms": "https://massedcompute.com/legal/terms-conditions/",
        "privacy": "https://massedcompute.com/legal/privacy-policy/",
        "statusPage": "",
        "changelog": "https://github.com/Massed-Compute/massed-compute-mcp/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "The Terms \u0026 Conditions page is the document the DPA calls the Principal Agreement. Its body is an embedded Termly viewer drawn by script, and we could not read it.",
          "The End User Licence Agreement, last updated 15 September 2026, names Massed Compute, Inc. of Las Vegas, Nevada, and applies Nevada law. The older docs site's footer says Massed Compute LLC.",
          "The privacy policy, last updated 22 July 2026, covers the website, a mobile application and the Services in general.",
          "The REST API and the MCP server answer at vm.massedcompute.com, on the vendor domain.",
          "/.well-known/security.txt answers 404 on massedcompute.com and on vm.massedcompute.com.",
          "RDAP for massedcompute.com gives a registration date of 2021-10-28.",
          "No status page was found on the site, the docs or the pricing page.",
          "The changelog linked is the MCP wrapper's. No API changelog was found.",
          "A Data Processing Agreement, last modified 27 March 2026, and a sub-processor list, last updated 10 September 2026, are published."
        ],
        "score": 68
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/massed-compute.json",
      "live": {
        "slug": "massed-compute",
        "probe": {
          "target": "https://vm.massedcompute.com/api/v1",
          "method": "get",
          "lastAt": "2026-10-10T02:07:15.43079726Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 559,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 563,
          "p95ms24h": 1577,
          "samples24h": 107,
          "samples30d": 107,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 85,
              "ok": 85
            },
            {
              "date": "2026-10-10",
              "probes": 22,
              "ok": 22
            }
          ]
        },
        "versions": [
          {
            "registry": "github",
            "name": "Massed-Compute/massed-compute-mcp",
            "version": "v1.1.0",
            "released": "2026-07-24",
            "seenAt": "2026-10-09T17:04:15.605664679Z"
          },
          {
            "registry": "npm",
            "name": "massed-compute-mcp",
            "version": "1.1.0",
            "seenAt": "2026-10-09T17:04:14.528689429Z"
          },
          {
            "registry": "pypi",
            "name": "massed-compute-mcp",
            "version": "1.1.0",
            "released": "2026-07-24",
            "seenAt": "2026-10-09T17:04:15.405015566Z"
          }
        ],
        "githubStars": 1,
        "npmWeekly": 37,
        "pypiWeekly": 20,
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/Massed-Compute/massed-compute-mcp/main/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:44:33.145231849Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "7fa22cb79429"
          },
          {
            "url": "https://vm.massedcompute.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:47:14.582656601Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "fb389d9be37c"
          },
          {
            "url": "https://massedcompute.com/legal/privacy-policy/",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:41:48.306296743Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "71fd70e07907"
          },
          {
            "url": "https://massedcompute.com/legal/terms-conditions/",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:41:50.386665594Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "0a8bdfcc06c0"
          }
        ],
        "updatedAt": "2026-10-10T02:07:15.43079726Z"
      }
    },
    "answer": "Modal scores 63.6 (B) on agent readiness against Massed Compute's 42.3 (E), and leads in every scored category.",
    "b": {
      "slug": "modal",
      "name": "Modal",
      "vendor": "Modal",
      "vendorUrl": "https://modal.com",
      "kind": "platform",
      "category": "gpu-compute",
      "summary": "Serverless functions, web endpoints, servers and GPU jobs from a Python decorator, with JavaScript and Go SDKs.",
      "url": "https://www.anchorterminal.com/tools/modal",
      "markdownUrl": "https://www.anchorterminal.com/tools/modal.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/modal.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/modal.json",
      "repo": "https://github.com/modal-labs/modal-client",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "modal"
        },
        {
          "registry": "npm",
          "name": "modal"
        }
      ],
      "auth": "api-key",
      "authNotes": "No public REST API for deploying. The SDKs and CLI authenticate with a token ID and secret from `modal token new`, read from `MODAL_TOKEN_ID` and `MODAL_TOKEN_SECRET` or `~/.modal.toml`; tokens can carry a TTL. Deployed web endpoints are open by default and can be locked with proxy tokens sent as `Modal-Key` and `Modal-Secret` headers. Servers and Endpoints require a proxy token by default, sent as `Authorization: Bearer \u003cid\u003e.\u003csecret\u003e`.",
      "pricing": "freemium",
      "pricingNotes": "Starter is $0 a month with $30 of compute included every month, 3 seats, 100 containers and 10 concurrent GPUs. Team is $250 a month plus compute with $100 included, unlimited seats, 5,000 containers and 50 concurrent GPUs. Enterprise is custom. GPUs bill per second with nothing charged at zero containers. T4 $0.000164, L4 $0.000222, A10 $0.000306, L40S $0.000542, A100 40 GB $0.000583, A100 80 GB $0.000694, RTX PRO 6000 $0.000842, H100 $0.001097, H200 $0.001261, B200 $0.001736 and B300 $0.001972 a second. The pricing page lists CPU at $0.0000131 a core-second (0.125 core minimum per container) and memory at $0.00000222 a GiB-second, and volumes at $0.09 a GiB-month after 1 TiB free (https://modal.com/pricing).",
      "priceSummary": "$250 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 514,
        "npmWeekly": 940973,
        "pypiWeekly": 10146778,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://modal.com/docs/guide",
      "llmsTxt": "https://modal.com/llms.txt",
      "capabilities": [
        "compute.gpu",
        "compute.serverless",
        "compute.endpoints",
        "compute.batch",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "no-card",
        "python",
        "typescript",
        "go",
        "llms-txt",
        "enterprise"
      ],
      "lastRelease": "2026-09-28",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.6,
        "grade": "B",
        "agentReady": false,
        "rank": 382,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 57,
          "maintenance": 85,
          "payments": 30,
          "reliability": 70,
          "schema": 70,
          "security": 68,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Scale to zero by default, per-second billing and about one-second container boots. No REST API or OpenAPI spec for deploying or invoking Functions.",
        "bestFor": "Python teams that want GPU functions, batch jobs and HTTP endpoints from one decorator with scale to zero.",
        "strengths": [
          "Scale to zero by default, per-second billing and about one-second container boots",
          "Retention stated per data type (inputs and outputs up to 7 days, logs 1 to 30 days)",
          "Python, JavaScript and Go SDKs, with llms.txt and dated release notes",
          "Four short incidents on the status page between July and September 2026",
          "SOC 2 Type 2, a private HackerOne programme and published disclosure response times"
        ],
        "weaknesses": [
          "No REST API or OpenAPI spec for deploying or invoking Functions",
          "Web endpoints are open by default until proxy tokens are added",
          "RBAC, audit logs and HIPAA only on Enterprise",
          "No published SLA, and Starter caps concurrent GPUs at 10",
          "Region pinning costs 1.15 to 1.75 times the base price"
        ],
        "agentNotes": [
          "Create a proxy token and require it on every web endpoint before sharing the URL; endpoints are public by default",
          "Pass a list to `gpu=` (for example `[\"H100\", \"A100-80GB\"]`) so a job still runs when the first choice is unavailable",
          "Set `scaledown_window` and `min_containers` explicitly; the defaults are 60 seconds and 0",
          "Use `.spawn()` and poll the call ID for long work instead of holding a web request open",
          "Keep web endpoint traffic under 200 requests a second or ask Modal to raise the limit"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.6
          }
        ],
        "editorialScores": {
          "ergonomics": 57,
          "maintenance": 85,
          "payments": 30,
          "reliability": 70,
          "schema": 70,
          "security": 68,
          "transparency": 63
        },
        "provenanceScore": 71
      },
      "connect": {
        "install": "pip install modal \u0026\u0026 modal setup",
        "http": "curl -X POST \"https://$MODAL_WORKSPACE--my-app-predict.modal.run\" \\\n  -H \"Modal-Key: $MODAL_PROXY_KEY\" -H \"Modal-Secret: $MODAL_PROXY_SECRET\" \\\n  -H \"Content-Type: application/json\" -d '{\"prompt\":\"hello\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/modal"
      },
      "sameCompany": [
        "modal-sandboxes"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 80 GB",
          "unit": "gpu-hour",
          "usd": 3.95,
          "note": "$0.001097 a second, may be upgraded to H200 at the same price"
        },
        {
          "item": "H200 141 GB",
          "unit": "gpu-hour",
          "usd": 4.54,
          "note": "$0.001261 a second"
        },
        {
          "item": "B200 180 GB",
          "unit": "gpu-hour",
          "usd": 6.25,
          "note": "$0.001736 a second"
        },
        {
          "item": "A100 80 GB",
          "unit": "gpu-hour",
          "usd": 2.5,
          "note": "$0.000694 a second"
        },
        {
          "item": "L40S 48 GB",
          "unit": "gpu-hour",
          "usd": 1.95,
          "note": "$0.000542 a second"
        },
        {
          "item": "L4 24 GB",
          "unit": "gpu-hour",
          "usd": 0.8,
          "note": "$0.000222 a second"
        },
        {
          "item": "T4 16 GB",
          "unit": "gpu-hour",
          "usd": 0.59,
          "note": "$0.000164 a second"
        },
        {
          "item": "Team plan",
          "unit": "month",
          "usd": 250,
          "note": "Plus compute, $100 included, 50 concurrent GPUs"
        }
      ],
      "provenance": {
        "legalEntity": "Modal Labs, Inc.",
        "domain": "modal.com",
        "domainRegistered": "1999-03-18",
        "domainNote": "modal.com was registered in 1999, long before Modal Labs, so the domain was bought later.",
        "endpointOnVendorDomain": false,
        "terms": "https://modal.com/legal/terms",
        "privacy": "https://modal.com/legal/privacy-policy",
        "statusPage": "https://status.modal.com",
        "changelog": "https://modal.com/docs/sdk/py/releases",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Terms (May 2026) name Modal Labs, Inc., a Delaware corporation, under California law.",
          "Deployed web endpoints and Servers are served from *.modal.run, a separate domain from modal.com. Deployment itself goes through the SDK, so there's no public API base URL to check.",
          "modal.com/.well-known/security.txt returns 404. The security guide gives security@modal.com and a private HackerOne programme.",
          "Modal Sandboxes are listed separately under code sandboxes."
        ],
        "score": 71
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/modal.json",
      "live": {
        "slug": "modal",
        "vendorStatus": {
          "page": "https://status.modal.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-10T00:50:50.112290426Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "modal",
            "version": "0.11.0",
            "seenAt": "2026-10-09T17:07:07.187746374Z"
          },
          {
            "registry": "pypi",
            "name": "modal",
            "version": "1.6.1",
            "released": "2026-10-03",
            "seenAt": "2026-10-09T17:07:07.051576964Z"
          }
        ],
        "githubStars": 522,
        "npmWeekly": 789700,
        "pypiWeekly": 10704300,
        "securityTxt": {
          "url": "https://modal.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:40:13.091099857Z"
        },
        "llmsTxt": {
          "url": "https://modal.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:25.311270244Z"
        },
        "domain": {
          "domain": "modal.com",
          "registered": "1999-03-18",
          "source": "https://rdap.verisign.com/com/v1/domain/modal.com",
          "checkedAt": "2026-10-04T13:03:51.14581991Z"
        },
        "updatedAt": "2026-10-10T00:50:50.112290426Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "Model platform",
        "name": "Kind"
      },
      {
        "a": "Massed Compute",
        "b": "Modal",
        "name": "Vendor"
      },
      {
        "a": "https://vm.massedcompute.com/api/v1",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "$5.43 per GPU-hour",
        "b": "not published",
        "name": "Price for gpu compute"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Massed Compute's Terms \u0026 Conditions and End User Licence Agreement. The `massed-compute-mcp` wrapper on GitHub is MIT",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "17",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "io.github.Massed-Compute/mcp",
        "b": "not listed",
        "name": "MCP registry"
      },
      {
        "a": "2026-07-24",
        "b": "2026-09-28",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "2026-05-01",
        "name": "Terms last updated"
      },
      {
        "a": "2026-07-22",
        "b": "2023-05-17",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "1 stars",
        "b": "514 stars, 941k npm/wk, 10.1M PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "4/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Modal scores 63.6 (B) on agent readiness against Massed Compute's 42.3 (E), and leads in every scored category.",
        "question": "Which is better for AI agents, Massed Compute or Modal?"
      },
      {
        "answer": "Massed Compute has a hosted endpoint at https://vm.massedcompute.com/api/v1. No hosted endpoint is listed for Modal.",
        "question": "Can an agent call Massed Compute and Modal without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Agents that rent whole GPU VMs by the hour for training, fine-tuning or a model server and want a small MCP tool set with a read-only mode.",
        "slug": "massed-compute",
        "watchFor": "No status page, incident history or security.txt was found on any of the vendor's hosts"
      },
      {
        "aheadOn": [
          "Reliability, 70 against 20",
          "Security \u0026 auth, 68 against 61",
          "Payments \u0026 pricing, 30 against 20",
          "Maintenance \u0026 community, 85 against 51",
          "Transparency \u0026 trust, 67 against 61"
        ],
        "also": [
          "Free to start without a card",
          "No incidents deducted, where Massed Compute loses 5 points for them"
        ],
        "goodFor": "Python teams that want GPU functions, batch jobs and HTTP endpoints from one decorator with scale to zero.",
        "slug": "modal",
        "watchFor": "No REST API or OpenAPI spec for deploying or invoking Functions"
      }
    ],
    "job": {
      "capability": "compute.gpu",
      "name": "GPU compute"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-massed-compute.json",
        "title": "Baseten vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-massed-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-modal.json",
        "title": "Baseten vs Modal",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-massed-compute.json",
        "title": "Beam vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/beam-vs-massed-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-modal.json",
        "title": "Beam vs Modal",
        "url": "https://www.anchorterminal.com/compare/beam-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-massed-compute.json",
        "title": "Cerebrium vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-massed-compute"
      },
      {
        "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/coreweave-vs-massed-compute.json",
        "title": "CoreWeave vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-massed-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-modal.json",
        "title": "CoreWeave vs Modal",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-massed-compute.json",
        "title": "Crusoe Cloud vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-massed-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-modal.json",
        "title": "Crusoe Cloud vs Modal",
        "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-massed-compute.json",
        "title": "Hugging Face Inference Endpoints vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-massed-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.json",
        "title": "Hugging Face Inference Endpoints vs Modal",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-massed-compute.json",
        "title": "Hyperbolic vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-massed-compute"
      },
      {
        "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/koyeb-vs-massed-compute.json",
        "title": "Koyeb vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-massed-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koyeb-vs-modal.json",
        "title": "Koyeb vs Modal",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-massed-compute.json",
        "title": "Lambda Cloud vs Massed Compute",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-massed-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-modal.json",
        "title": "Lambda Cloud vs Modal",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/massed-compute-vs-nebius-ai-cloud.json",
        "title": "Massed Compute vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/massed-compute-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/massed-compute-vs-northflank.json",
        "title": "Massed Compute vs Northflank",
        "url": "https://www.anchorterminal.com/compare/massed-compute-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/massed-compute-vs-replicate-deploy.json",
        "title": "Massed Compute vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/massed-compute-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/massed-compute-vs-runpod.json",
        "title": "Massed Compute vs Runpod",
        "url": "https://www.anchorterminal.com/compare/massed-compute-vs-runpod"
      },
      {
        "json": "https://www.anchorterminal.com/compare/massed-compute-vs-thunder-compute.json",
        "title": "Massed Compute vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/massed-compute-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/massed-compute-vs-vast-ai.json",
        "title": "Massed Compute vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/massed-compute-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/massed-compute-vs-verda.json",
        "title": "Massed Compute vs Verda",
        "url": "https://www.anchorterminal.com/compare/massed-compute-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud.json",
        "title": "Modal vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-northflank.json",
        "title": "Modal vs Northflank",
        "url": "https://www.anchorterminal.com/compare/modal-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.json",
        "title": "Modal vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/modal-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-runpod.json",
        "title": "Modal vs Runpod",
        "url": "https://www.anchorterminal.com/compare/modal-vs-runpod"
      },
      {
        "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/modal-vs-vast-ai.json",
        "title": "Modal vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/modal-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-verda.json",
        "title": "Modal vs Verda",
        "url": "https://www.anchorterminal.com/compare/modal-vs-verda"
      }
    ],
    "scores": [
      {
        "by": 50,
        "edge": "modal",
        "key": "reliability",
        "massed-compute": 20,
        "modal": 70,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "edge": "modal",
        "key": "schema",
        "massed-compute": 69,
        "modal": 70,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 1,
        "edge": "modal",
        "key": "ergonomics",
        "massed-compute": 56,
        "modal": 57,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 7,
        "edge": "modal",
        "key": "security",
        "massed-compute": 61,
        "modal": 68,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 10,
        "edge": "modal",
        "key": "payments",
        "massed-compute": 20,
        "modal": 30,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 34,
        "edge": "modal",
        "key": "maintenance",
        "massed-compute": 51,
        "modal": 85,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 6,
        "edge": "modal",
        "key": "transparency",
        "massed-compute": 61,
        "modal": 67,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Modal scores 63.6 (B) on agent readiness against Massed Compute's 42.3 (E), and leads in every scored category. Both do gpu compute.",
    "verdicts": {
      "massed-compute": "The hosted MCP server and REST API accept OAuth grants or API tokens in read-only and full-access tiers, and all 17 tools carry typed schemas and safety annotations in a public server card. No status page, rate limit figures or API changelog were found, a launch has no idempotency key, and the governing terms could not be read.",
      "modal": "Scale to zero by default, per-second billing and about one-second container boots. No REST API or OpenAPI spec for deploying or invoking Functions."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/massed-compute-vs-modal",
    "json": "https://www.anchorterminal.com/compare/massed-compute-vs-modal.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/massed-compute-vs-modal.md",
    "slim": "https://www.anchorterminal.com/compare/massed-compute-vs-modal.min.md"
  },
  "markdown": "Modal scores 63.6 (B) on agent readiness against Massed Compute's 42.3 (E), and leads in every scored category. Both do gpu compute.\n\n- Massed Compute: grade E, 42.3/100, rank #896 of 950. Markdown https://www.anchorterminal.com/tools/massed-compute.md · JSON https://www.anchorterminal.com/api/v1/tools/massed-compute.json\n- Modal: grade B, 63.6/100, rank #382 of 950. Markdown https://www.anchorterminal.com/tools/modal.md · JSON https://www.anchorterminal.com/api/v1/tools/modal.json\n- Best GPU and serverless compute for AI workloads: https://www.anchorterminal.com/best/gpu-compute/index.md\n- All 167 gpu compute comparisons: https://www.anchorterminal.com/compare/gpu-compute/index.md\n\n## Which one, for what\n\n### Massed Compute (E)\n\nGood for: Agents that rent whole GPU VMs by the hour for training, fine-tuning or a model server and want a small MCP tool set with a read-only mode.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No status page, incident history or security.txt was found on any of the vendor's hosts\n\n### Modal (B)\n\nGood for: Python teams that want GPU functions, batch jobs and HTTP endpoints from one decorator with scale to zero.\n\nAhead on:\n- Reliability, 70 against 20\n- Security \u0026 auth, 68 against 61\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 85 against 51\n- Transparency \u0026 trust, 67 against 61\n\nAlso in its favour:\n- Free to start without a card\n- No incidents deducted, where Massed Compute loses 5 points for them\n\nWatch for: No REST API or OpenAPI spec for deploying or invoking Functions\n\n\n## Score by category\n\n| Category | Weight | Massed Compute | Modal | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 20 | 70 | Modal +50 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 70 | Modal +1 |\n| Agent ergonomics | 13% (16.2 this run) | 56 | 57 | Modal +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 61 | 68 | Modal +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 30 | Modal +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 51 | 85 | Modal +34 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 67 | Modal +6 |\n| Negative events | ≤15 | -5 | 0 | |\n| **Total** | | **42.3 · E** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | Massed Compute | Modal |\n| --- | --- | --- |\n| Kind | HTTP API | Model platform |\n| Vendor | Massed Compute | Modal |\n| Hosted endpoint | `https://vm.massedcompute.com/api/v1` | no (local only) |\n| Transports | HTTP, Streamable HTTP |  |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Freemium |\n| Price for gpu compute | $5.43 per GPU-hour | not published |\n| x402 | no | no |\n| Licence | Proprietary service under Massed Compute's Terms \u0026 Conditions and End User Licence Agreement. The `massed-compute-mcp` wrapper on GitHub is MIT | Apache-2.0 |\n| Tools exposed | 17 | none |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.Massed-Compute/mcp` | not listed |\n| Last release | 2026-07-24 | 2026-09-28 |\n| Terms last updated | couldn't be read | 2026-05-01 |\n| Privacy policy last updated | 2026-07-22 | 2023-05-17 |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | not found in the text |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | 1 stars | 514 stars, 941k npm/wk, 10.1M PyPI/wk |\n| Agent reviews | none | 4/5 (2) |\n\n## Verdicts\n\n**Massed Compute.** The hosted MCP server and REST API accept OAuth grants or API tokens in read-only and full-access tiers, and all 17 tools carry typed schemas and safety annotations in a public server card. No status page, rate limit figures or API changelog were found, a launch has no idempotency key, and the governing terms could not be read.\n\n**Modal.** Scale to zero by default, per-second billing and about one-second container boots. No REST API or OpenAPI spec for deploying or invoking Functions.\n\n## Before you call either\n\n### Massed Compute\n\n1. Use `https://vm.massedcompute.com/api/v1`. The older docs at api-docs.massedcompute.com describe a separate marketplace API on `api.massedcompute.com` whose keys come from support.\n2. Ask the owner for a read-only token unless the task must launch or terminate. Read-only credentials cannot call launch, restart, terminate or SSH key changes.\n3. Call `gpu_inventory_list` and `images_list` before `instances_launch`. Product names and image IDs are free values, and SXM-only images do not run on PCIe cards.\n4. Expect 402 on launch until the owner has added credit and set a recharge amount and threshold. List instances before retrying a launch.\n5. Terminate to end billing. Stopping keeps the full hourly charge, and termination deletes the instance data.\n\n### Modal\n\n1. Create a proxy token and require it on every web endpoint before sharing the URL; endpoints are public by default\n2. Pass a list to `gpu=` (for example `[\"H100\", \"A100-80GB\"]`) so a job still runs when the first choice is unavailable\n3. Set `scaledown_window` and `min_containers` explicitly; the defaults are 60 seconds and 0\n4. Use `.spawn()` and poll the call ID for long work instead of holding a web request open\n5. Keep web endpoint traffic under 200 requests a second or ask Modal to raise the limit\n\n## Questions\n\n### Which is better for AI agents, Massed Compute or Modal?\n\nModal scores 63.6 (B) on agent readiness against Massed Compute's 42.3 (E), and leads in every scored category.\n\n### Can an agent call Massed Compute and Modal without installing anything?\n\nMassed Compute has a hosted endpoint at https://vm.massedcompute.com/api/v1. No hosted endpoint is listed for Modal.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/massed-compute-vs-modal.json, and with the fewest tokens: https://www.anchorterminal.com/compare/massed-compute-vs-modal.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"massed-compute\", \"b\": \"modal\"}`. From a terminal: `anchor compare massed-compute modal`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/massed-compute.json and https://www.anchorterminal.com/api/v1/tools/modal.json\n\n## Other comparisons with Massed Compute or Modal\n\n- [Baseten vs Massed Compute](https://www.anchorterminal.com/compare/baseten-vs-massed-compute.md)\n- [Baseten vs Modal](https://www.anchorterminal.com/compare/baseten-vs-modal.md)\n- [Beam vs Massed Compute](https://www.anchorterminal.com/compare/beam-vs-massed-compute.md)\n- [Beam vs Modal](https://www.anchorterminal.com/compare/beam-vs-modal.md)\n- [Cerebrium vs Massed Compute](https://www.anchorterminal.com/compare/cerebrium-vs-massed-compute.md)\n- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)\n- [CoreWeave vs Massed Compute](https://www.anchorterminal.com/compare/coreweave-vs-massed-compute.md)\n- [CoreWeave vs Modal](https://www.anchorterminal.com/compare/coreweave-vs-modal.md)\n- [Crusoe Cloud vs Massed Compute](https://www.anchorterminal.com/compare/crusoe-cloud-vs-massed-compute.md)\n- [Crusoe Cloud vs Modal](https://www.anchorterminal.com/compare/crusoe-cloud-vs-modal.md)\n- [Hugging Face Inference Endpoints vs Massed Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-massed-compute.md)\n- [Hugging Face Inference Endpoints vs Modal](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.md)\n- [Hyperbolic vs Massed Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-massed-compute.md)\n- [Hyperbolic vs Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md)\n- [Koyeb vs Massed Compute](https://www.anchorterminal.com/compare/koyeb-vs-massed-compute.md)\n- [Koyeb vs Modal](https://www.anchorterminal.com/compare/koyeb-vs-modal.md)\n- [Lambda Cloud vs Massed Compute](https://www.anchorterminal.com/compare/lambda-vs-massed-compute.md)\n- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md)\n- [Massed Compute vs Nebius AI Cloud](https://www.anchorterminal.com/compare/massed-compute-vs-nebius-ai-cloud.md)\n- [Massed Compute vs Northflank](https://www.anchorterminal.com/compare/massed-compute-vs-northflank.md)\n- [Massed Compute vs Replicate Deployments](https://www.anchorterminal.com/compare/massed-compute-vs-replicate-deploy.md)\n- [Massed Compute vs Runpod](https://www.anchorterminal.com/compare/massed-compute-vs-runpod.md)\n- [Massed Compute vs Thunder Compute](https://www.anchorterminal.com/compare/massed-compute-vs-thunder-compute.md)\n- [Massed Compute vs Vast.ai](https://www.anchorterminal.com/compare/massed-compute-vs-vast-ai.md)\n- [Massed Compute vs Verda](https://www.anchorterminal.com/compare/massed-compute-vs-verda.md)\n- [Modal vs Nebius AI Cloud](https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud.md)\n- [Modal vs Northflank](https://www.anchorterminal.com/compare/modal-vs-northflank.md)\n- [Modal vs Replicate Deployments](https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.md)\n- [Modal vs Runpod](https://www.anchorterminal.com/compare/modal-vs-runpod.md)\n- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Modal vs Vast.ai](https://www.anchorterminal.com/compare/modal-vs-vast-ai.md)\n- [Modal vs Verda](https://www.anchorterminal.com/compare/modal-vs-verda.md)\n",
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